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    Technical Analysis of selected scrips of Telecom,

    Infrastructure and Banking sectors

    By

    (P.BALA KUMAR)

    (REG. NO. 0929026)

    A PROJECT REPORT

    Submitted to the

    CRESCENT BUSINESS SCHOOL

    in partial fulfillment of the requirements

    for the awardof the degree of

    MASTER OF BUSINESS ADMINISTRATION

    APRIL 2011

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    BONAFIDE CERTIFICATE

    Certified that the project report titled Technical Analysis of selected scrip for Telecom,

    Infrastructure and Bank is the bonafide work of Mr. (P.BALA KUMAR)(REG. NO.

    0929026) who carried out the research under my supervision. Certified further, that to the

    best of my knowledge the work reported herein does not form part of any other project report

    or dissertation on the basis of which a degree or award was conferred on earlier occasion on

    this or any other candidate.

    (Mrs.PANBOLI)Assistant professor(senior grade)Crescent business schoolInternal guide

    (Mr.YESUDASAN)Regional head ,

    B M A wealth creators.Chennai

    External guide

    Dr. MIRZA S. SAIYADAIN

    Dean, CBS

    INTERNAL EXAMINER EXTERNALEXAMINER

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    ACKNOWLEDGEMENT

    I express my profound thanks to our respected Vice-Chancellor Dr. P. KANNIAPPAN,

    M.Sc. Ph.D., and our Registrar Dr. V.M. PERIASAMY, B.E., M.E., Ph.D., for their

    enthusiastic support and help in providing all resources behind the scenes.

    I wish to regard my sincere thanks to Dr. MIRZA S. SAIYADAIN, M.A., Ph.D., Professor

    and Dean, Crescent Business School, B.S. Abdur Rahman University, Vandalur,

    Chennai 600048.

    I would like to thank to my guide , Mrs. PANBOLI Assistant Professor, Crescent Business

    School, for her full involvement in every part of my project.

    I would like to thank my external guide MR. YESUDASAN Manager, B M A wealth

    creators. for his morale support and encouragement, which helped me in carrying out the

    project successfully.

    I sincerely thank all the staff members of the Crescent Business School for their valuable

    advice and kind cooperation, without which the project would not have emerged as a

    successful one.

    It is once again a pleasure to acknowledge to my parents, friends and family members for

    their constructive and valuable suggestions towards improvement of this project.

    Place: Chennai (P.BALAKUMAR)

    Date:

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    ABSTRACT

    The project titled Technical Analysis of selected scrip for Telecom,

    Infrastructure and Bank was undertaken B M A wealth creators at chennai. The study

    was conducted on few scrips price movements from a period of one year from april 2010 to

    march 2011.. Three industries are taken for analysis namely infrastructure, banking, and

    telecommunication. The chart provides signals for the existing, prospective investors or the

    willing sellers to decide as to when they can buy or sell their scrips, in order to get best

    returns on their investments.

    Technical analysis attempts to explain and forecast changes in security prices by

    studying only the market data rather than information about a company or its prospects as is

    done by fundamental analyst. Technical analysts do not attempt to measure a security's

    intrinsic value; instead they look at stock charts for patterns and indicators that will determine

    a stock's future performance.

    The research started with clear analysis and understanding of the problem. The

    problem was then classified in to primary and secondary objectives based on the need. Data

    has been presented and analysed using suitable scaling technique and tools. Using the results

    findings and suggestions are given at the end of the report.

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    TABLE OF CONTENTS

    CHAPTER NO. TITLE PAGE NO

    LIST OF TABLES Vi

    LIST OF FIGURES Vii

    1 INTRODUCTION

    1.1 Company Profile 1

    1.2 Objectives of the study

    1.3 Need For Study 4

    4

    2

    3

    4

    1.4 Scope of the Study

    Literature Survey

    2.1 Review of Literature

    2.2 Research Gap

    2.3 Research Design

    Methodologies

    3.1 Profile of selected company

    3.2 Assumptions, Constraints and Limitations

    3.3 Data Processing

    3.4 Tools for Analysis

    Data Analysis and Interpretation

    4.1 Relative Strength Index

    4.2 Correlation Analysis Method

    4.3 Rate of Change

    5

    6

    6

    7

    8

    17

    18

    18

    20

    29

    34

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    5

    6

    Conclusions

    5.1Findings & Suggestions

    5.2Conclusions

    Appendix

    6.1Bibliography 49

    46

    48

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    LIST OF TABLES

    TABLE NO. TABLE NAME PAGE NO

    4.1.1 Calculation Of Day RSI For AIRTEL 21

    4.1.2 Calculation Of Day RSI For RCOM 23

    4.1.3 Calculation Of Day RSI For IDEA 26

    4.1.1 CALCULATION OF CORRELATION BETWEEN STOCK

    RETURN(SBI)AND MARKET RETURN(NSE)

    29

    4.1.2 CALCULATION OF CORRELATION BETWEEN STOCK

    RETURN(PNB)AND MARKET RETURN(NSE)

    30

    4.1.3 CALCULATION OF CORRELATION BETWEEN STOCK

    RETURN(ICICI)AND MARKET RETURN(NSE)

    32

    vi

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    LIST OF FIGURES AND CHARTS

    FIGURE NO. FIGURE NAME PAGE NO

    4.1.1 showing Simple Moving Average Curve of

    DLF

    35

    4.1.2 showing Simple Moving Average Curve of

    RELIANCE INFRASTRUCTURE

    36

    4.1.3 showing Simple Moving Average Curve of

    GMR INFRASTRUCTURE

    37

    4.1.4 showing Simple Moving Average Chart of

    BHARTI AIRTEL

    39

    4.1.5 showing Simple Moving Average Chart of

    RELIANCE COMMUNICATION

    40

    4.1.6 showing Simple Moving Average Chart of

    IDEA

    41

    4.1.7 showing Simple Moving Average Chart of STATE

    BANK OF INDIA

    42

    4.1.8 showing Simple Moving Average Chart of PUNJAB

    NATIONAL BANK

    43

    4.1.9 showing Simple Moving Average Chart of ICICI 44

    4.1.10 showing Simple Moving Average Chart of DLF 45

    4.1.11 showing Simple Moving Average Chart of

    RELIANCE INFRASTRUCTURE

    46

    4.1.12 showing Simple Moving Average Chart of GMR

    INFRASTRUCTURE

    47

    vii

    CHAPTER-1

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    INTRODUCTION

    1.1COMPANY PROFILE

    BMA Group, having interests in Refractory, Iron & Steel, Ferro Alloys etc. and having an

    aggregate turnover of about Rs 1100 crs. had diversified into financial services in the year

    2005 through setting up of BMA Wealth Creators.

    Other BMA Group companies

    BMA Stainless Ltd.

    Maithan Alloys Ltd.

    Maithan Smelters Ltd.

    National Refractories

    Anjaney Ferro Alloys Ltd.

    The Behar Potteries Ltd.

    A premier financial services organization providing individual and corporates with ustomized

    financial solutions. We work towards understanding your financial goals and risk profile. Our

    expertise combined with thorough understanding of the financial markets results in

    appropriate investment solutions for you. At Wealth Creators we realize your dreams, needs,

    aspirations, concerns and resources are unique. This is reflected in every move we make with

    and for you. We have deep appreciation for the Value of building an everlasting relationship

    with YOU.

    Our financial services corporate entities are represented by :

    BMA WEALTH CREATORS LTD. which holds corporate membership in two ofthe premier

    bourses viz. National Stock Exchange Ltd and Bombay Stock Exchange Ltd. and as

    Depository Participant in Central Depositories Services Ltd. (CDSL) and National Securities

    Depositories Ltd. (NSDL)

    Members

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    1. National Stock Exchange Of India Ltd (NSE)

    2. The Stock Exchange , Mumbai (BSE)

    Area of specialization

    Buying, selling and dealing in shares and other securities in secondary markets.

    Identifying investment avenues and advising on portfolio management of cash

    Services offered

    Service is required in everything, in research, in execution and in settlement. It is

    going to be the key to survival. If given good service and value to your clients, it will

    translate into good business. This has been a strong belief of the board members and they

    have not only practiced it but also made efforts to inculcate similar values in the employees

    of the organization.

    Brokerage

    Highly competitive

    People

    Efficient personal at the trading terminals to give you live quotes or

    accept orders. Trained and quick dealers to obtain best rates on-line.

    Place Fully air- conditioned trading premises

    Comfortable ambience

    Communication Adequate telephone and fax lines, direct lines for outstation calls.

    E-Mail

    Funds they pride themselves in being very prompt and totally reliable

    they have built their reputation by honoring their commitments on time

    Special facilities Also dedicated telephone line and/or dealer can be assigned for clients who

    need the facility.

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    Management team

    The organization finds its growth in its team of young, talented and confident

    individuals. Qualified professionals carry out different functions under the leadership of its

    promoters.

    Infrastructure

    Greatest attention has been paid to transparency and speed with least scope for

    human intervention in order execution and confirmation. They have separate trading

    terminals for those clients who trade on the telephone with trained telephone- handlers as

    dealers.

    Reputation for prompt payments and top of the line world-class service levels has

    provided them immense credibility in the market place.

    Clientele consists of numerous highly valuable and long-standing accounts that will

    vouch for our reliability and credibility.

    Staffconsists of highly skilled, motivated and qualified personnel who have been

    well-trained to spare no effort in providing ultimate customer satisfaction.

    1.2 OBJECTIVES OF THE STUDY

    Primary Objective

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    To analyze the selected scrips of Telecom, Infrastructure and Banking sectors through

    technical analysis.

    Secondary Objectives

    To make simple moving average chart for selected companies under nifty

    To analyze and compare the signals revealed by simple moving average.

    To give suggestions to investors for effective usage of simple moving average as an

    indicator.

    1.3 NEED FOR THE STUDY

    It is well known that money is the blood of life. In the current scenario, protecting

    and multiplying the money is more important than earning. There are many ways of

    investment and one of the popular methods is by investing in the shares and Mutual funds.

    Investment in these requires certain basic knowledge and involves a lot of risk. There are

    various tools available for evaluating the performance of the investments in shares. One such

    tool is the technical analysis, that helps in predicting the future movement of prices.

    Technical analysis involves calculation and includes the drawing of graphs to track

    the existing movement and to extend it to the future for predicting the future prices. It helps

    the investor in making the investment decision whether to buy the shares of these companies

    when their prices are at a hike or to sell when they drop with the help of the analysis and the

    charts used in this study. It also helps in reducing the risk involved in investment of shares by

    the investors.

    1.4 SCOPE OF THE STUDY

    The study is conducted with the price movements of the selected company shares for a

    certain period only. This study helps an investor to take timely and correct decision regardingthe investment. This study is limited to selected industries (Infrastructure,

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    Telecommunication, Bank) This study can also be used as a referral for other forth coming

    studies in the similar field.

    CHAPTER -2

    LITERATURE SURVEY

    2.1 REVIEW OF LITERATURE

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    These paper titled early mover advantage Govert E. Bijwaard Maarten C.W.

    Janssen*Emiel Maasland, December 22, 2004 We find a clear early mover advantage, mainly

    caused by the influence of the penetration rate: it pays to enter when still few people have

    acquired a mobile telephone. Another important determining factor is the Herfindahl-

    Hirschman Index at the moment of entry: it is significantly easier to enter a highly

    concentrated industry. These paper titled A Projection of Best Emerging Bank in Sultanate

    of Oman Damodharan .V. S.* and Rengarajan.V, January 2008 But in practice this gives an

    overview of the performance of banks on different parameters used. An attempt has been

    made to analyze the performance of banks using Price Earnings ratios as well as statistical

    models. The results were also tested using fundamental and technical analysis of security

    analysis.These paper titled The di_usion of infrastructure dependent technologies: A simple

    model We thereby consider the development of large from an evolutionary perspective. We

    _rst provide a concise overview describing the literature on the evolution 1 of large technical

    systems in Section 2 and identify a set of characteristics that should be captured by our

    model. A model based on this description is then presented in Section 3. Section 4 describes

    model results as well as a comparison with data concerning the evolution of the LPG system

    in the Netherlands.Finally Section 5 concludes.

    2.2 RESEARCH GAP

    The above papers dealt technical analysis of only limited companies under Telecom,

    infrastructure and Banking sectors .Hence this research targeted the following companies for

    the study of technical analysis 1) Telecom 2) Infrastructure 3) Banking .

    2.3 RESEARCH DESIGN

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    Research is an active, diligent and systematic process of inquiry in order to

    discover, interpret or revise facts, events, behaviours, or theories, or to make practical

    applications with the help of such facts, laws or theories. The term "research" is also used to

    describe the collection of information about a particular subject. It means a systematic

    investigation, including research development, testing and evaluation, designed to develop or

    contribute to general knowledge. Activities which meet this definition constitute research for

    purposes of this policy, whether or not they are conducted or supported under a program

    which is considered research for other purposes.

    Research Methodology refers to the way in which the data are collected for the

    research project and also includes all the techniques, methods and procedures adopted in

    research work to carry out research. It includes the sequence of steps involved in carrying out

    the research.

    The research design is the conceptual structure within which research is conducted.

    A design is used to structure the research, to show how all of the major parts of the research

    project -- the samples or groups, measures, treatments or programs, and methods of

    assignment -- work together to try to address the central research questions.

    This is an Analytic research. Analytical research aims at analyzing the current

    scenario and thereby using that to project the future performance. For the purpose of the

    study the following are the industries chosen based on the data available. The name of the

    industries and the companies are given below.

    CHAPTER -3

    METHODOLOGIES

    3.1 PROFILE OF SELECTED COMPANIES

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    Telecommunication Bharti Airtel

    Reliance Communication Limited

    Idea Cellular Limited

    Banks State Bank Of India

    Punjab National Bank

    ICICI Bank Limited

    Infrastructure DLF

    Reliance Infrastructure

    GMR

    INFRASTRUCTURE INDUSTRY

    Infrastructure is the basic physical and organizational structures needed for the

    operation of a society or enterprise, or the services and facilities necessary for an

    economy to function. The term typically refers to the technical structures that support

    a society, such as roads, water supply, sewers,power grids, telecommunications, and

    so forth. Viewed functionally, infrastructure facilitates the production of goods and

    services; for example, roads enable the transport of raw materials to a factory, andalso for the distribution of finished products to markets. In some contexts, the term

    may also include basic social services such as schools and hospitals. In military

    parlance, the term refers to the buildings and permanent installations necessary for the

    support, redeployment, and operation of military forces.

    Encompassing all things to all people is hardly a useful way to

    define infrastructure clouding investors, governments, and their citizens ability to

    understand, advocate, and direct capital toward durable, networked assets with

    widespread societal benefits. Primary infrastructure components are generally

    monopolistic in nature and require large financial commitments for their development,

    repair and replacement. They can be built, touched, enabled, disabled, and function

    together to form interrelated, dependent systems that deliver needed commodities and

    services to society. In doing so, they facilitate economic productivity and promote a

    standard of living. Infrastructure can then be more concisely defined as The physical

    components of interrelated systems providing commodities and services essential

    to enable, sustain, or enhance societal living conditions.

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    http://en.wikipedia.org/wiki/Societyhttp://en.wikipedia.org/wiki/Roadhttp://en.wikipedia.org/wiki/Water_supplyhttp://en.wikipedia.org/wiki/Sewagehttp://en.wikipedia.org/wiki/Power_gridshttp://en.wikipedia.org/wiki/Telecommunicationhttp://en.wikipedia.org/wiki/Manufacturinghttp://en.wikipedia.org/wiki/Good_(economics)http://en.wikipedia.org/wiki/Service_(economics)http://en.wikipedia.org/wiki/Raw_materialhttp://en.wikipedia.org/wiki/Factoryhttp://en.wikipedia.org/wiki/Markethttp://en.wikipedia.org/wiki/Roadhttp://en.wikipedia.org/wiki/Water_supplyhttp://en.wikipedia.org/wiki/Sewagehttp://en.wikipedia.org/wiki/Power_gridshttp://en.wikipedia.org/wiki/Telecommunicationhttp://en.wikipedia.org/wiki/Manufacturinghttp://en.wikipedia.org/wiki/Good_(economics)http://en.wikipedia.org/wiki/Service_(economics)http://en.wikipedia.org/wiki/Raw_materialhttp://en.wikipedia.org/wiki/Factoryhttp://en.wikipedia.org/wiki/Markethttp://en.wikipedia.org/wiki/Society
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    DLFDLF Limited orDLF (originally Delhi Land and Finance) is

    India's biggest real estate developerbased in New Delhi, India. The DLF Group was founded

    by Raghuvendra Singh in 1946. DLF developed residential colonies in Delhi such as ShivajiPark ( which was actually its first one), Rajouri Garden, Krishna Nagar, South Extension,

    Greater Kailash, Kailash Colony and Hauz Khas. In 1957, with the passage of Delhi

    Development Act, the local government assumed control of real estate development in Delhi

    and banned private real estate developers.

    As a result DLF began acquiring land at relatively low cost outside the area controlled by the

    Delhi Development Authority, in the district ofGurgaon, in the adjacent state ofHaryana. In

    the mid-1970s, the company started developing DLF City project at Gurgaon. Its upcoming

    plans include hotels,infrastructure and special economic zones-related development projects.

    The company is currently headed by Indian billionaire Kushal Pal Singh, a Jat from

    BulandShahar. Kushal Pal Singh, according to the Forbes listing of richest billionaires in

    2009, now stands as the 98th richest man in the world and the world's richest property

    developer. The company's US$ 2 billion IPO in July, 2007 created India's biggest IPO in

    history. In July 2007, DLF announced its first quarter results ending 30 June 2007. The

    company reported a turnover of Rs. 3,120.98 Crore and PAT at Rs. 1,515.48 Crore.

    Reliance InfrastructureReliance Infrastructure, (BSE: 500390) formerly known as Reliance Energy and prior to

    that as Bombay Suburban Electric Supply (BSES), Its India's largest private sector

    enterprise in power utility and its a company under the Reliance Anil Dhirubhai Ambani

    Group banner, one of India's largest conglomerates. The company is headed by Anil Ambani.The company's corporate headquarters is situated in Mumbai. The company is the sole

    distributor of electricity to consumers in the suburbs of Mumbai. It also runs power

    generation, transmission and distribution businesses in other parts of Maharashtra, Goa and

    Andhra Pradesh. Reliance Energy plans to increase its power generation capacity by adding

    16,000 MW with investments of $13 billion.

    GMR

    GMR Group is a major infrastructure company in India which is headquartered in

    Bangalore. The company was founded in 1978. The core business areas of the company

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    http://en.wikipedia.org/wiki/Real_estate_developerhttp://en.wikipedia.org/wiki/Gurgaonhttp://en.wikipedia.org/wiki/Haryanahttp://en.wikipedia.org/wiki/Hotelhttp://en.wikipedia.org/wiki/Infrastructurehttp://en.wikipedia.org/wiki/Special_economic_zoneshttp://en.wikipedia.org/wiki/India_Rich_Listhttp://en.wikipedia.org/wiki/Kushal_Pal_Singhhttp://en.wikipedia.org/wiki/Jathttp://en.wikipedia.org/wiki/Property_developerhttp://en.wikipedia.org/wiki/Property_developerhttp://en.wikipedia.org/wiki/US$http://en.wikipedia.org/wiki/IPOhttp://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://www.bseindia.com/bseplus/StockReach/AdvanceStockReach.aspx?scripcode=500390http://en.wikipedia.org/wiki/Reliance_Anil_Dhirubhai_Ambani_Grouphttp://en.wikipedia.org/wiki/Reliance_Anil_Dhirubhai_Ambani_Grouphttp://en.wikipedia.org/wiki/Anil_Ambanihttp://en.wikipedia.org/wiki/Mumbaihttp://en.wikipedia.org/wiki/Mumbaihttp://en.wikipedia.org/wiki/Maharashtrahttp://en.wikipedia.org/wiki/Goahttp://en.wikipedia.org/wiki/Andhra_Pradeshhttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/Bangalorehttp://en.wikipedia.org/wiki/Real_estate_developerhttp://en.wikipedia.org/wiki/Gurgaonhttp://en.wikipedia.org/wiki/Haryanahttp://en.wikipedia.org/wiki/Hotelhttp://en.wikipedia.org/wiki/Infrastructurehttp://en.wikipedia.org/wiki/Special_economic_zoneshttp://en.wikipedia.org/wiki/India_Rich_Listhttp://en.wikipedia.org/wiki/Kushal_Pal_Singhhttp://en.wikipedia.org/wiki/Jathttp://en.wikipedia.org/wiki/Property_developerhttp://en.wikipedia.org/wiki/Property_developerhttp://en.wikipedia.org/wiki/US$http://en.wikipedia.org/wiki/IPOhttp://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://www.bseindia.com/bseplus/StockReach/AdvanceStockReach.aspx?scripcode=500390http://en.wikipedia.org/wiki/Reliance_Anil_Dhirubhai_Ambani_Grouphttp://en.wikipedia.org/wiki/Reliance_Anil_Dhirubhai_Ambani_Grouphttp://en.wikipedia.org/wiki/Anil_Ambanihttp://en.wikipedia.org/wiki/Mumbaihttp://en.wikipedia.org/wiki/Mumbaihttp://en.wikipedia.org/wiki/Maharashtrahttp://en.wikipedia.org/wiki/Goahttp://en.wikipedia.org/wiki/Andhra_Pradeshhttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/Bangalore
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    include airports, energy and highways; apart from having presence in the agriculture and

    aviation sectors. They are also actively involved in community service as a part ofCorporate

    Social Responsibility.

    Airports.

    Roads and Highways

    Energy

    Agriculture

    Aviation

    TELECOMMUNICATION INDUSTRY

    The Indian telecommunications industry is one of the fastest growing in the world

    and India is projected to become the second largest telecom market globally by 2010.

    In April 2008, India overtook the US as the second largest wireless market, and as a

    pointer to the increasing global influence of Indian telecom companies, seven Indians have

    featured in the list of the world's 100 most influential telecom leaders, compiled by Global

    Telecoms Business, an industry magazine.

    According to CRISIL Research estimates, eight infrastructure sectors, which include

    the telecom sector, are expected to draw more than US$ 345.28 billion investment in India by

    2012.

    With the rural India growth story unfolding, the telecom sector is likely to see

    tremendous growth in India's rural and semi-urban areas in the years to come. By 2012, India

    is likely to have 200 million rural telecom connections at a penetration rate of 25 per cent.

    And according to a report jointly released by Confederation of Indian Industry (CII) and

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    Ernst & Young, by 2012, rural users will account for over 60 per cent of the total telecom

    subscriber base.

    It is projected that the industry will generate revenues worth US$ 43 billion in 2009-

    10.India's telecom equipment manufacturing sector is set to become one of the largestglobally by 2010.

    Mobile phone production is estimated to grow at a CAGR of 28.3 per cent from 2006 to

    2011, totaling 107 million handsets by 2010. Revenues are estimated to grow at a CAGR of

    26.6 per cent from 2006 to 2011, touching US$ 13.6 billion

    Bharati AirtelBharti Airtel Limited (NSE: BHARTIARTL,BSE: 532454), commonly known as

    airtel, is an Indian telecommunicationscompany that operates in 19 countries across South

    Asia, Africa and the Channel Islands. It operates a GSM networkin all countries, providing

    2G or3G services depending upon the country of operation. Airtel is the fifth largest telecom

    operator in the world with over 207.8 million subscribers across 19 countries at the end of

    2010. It is the largest cellular service providerinIndia, with over 152.5 million subscribers at

    the end of 2010. Airtel is the 3rd largest in-country mobile operator by subscriber base,

    behind China Mobile and China Unicom..

    Airtel also offers fixed line services and broadband services. It offers its telecom services

    under the Airtel brand and is headed by Sunil Bharti Mittal. Bharti Airtel is the first Indian

    telecom service provider to achieve this Cisco Gold Certification. To earn Gold

    Certification, Bharti Airtel had to meet rigorous standards for networking competency,

    service, support and customer satisfaction set forth by Cisco. The company also provides

    land-line telephone services and broadband Internet access (DSL) in over 96 cities in India.

    It also acts as a carrier for national and international long distance communication services.

    The company has a submarine cable landing station at Chennai, which connects the

    submarine cable connectingChennai and Singapore.

    It is known for being the first mobile phone company in the world to outsource everything

    except marketing and sales and finance. Its network (base stations, microwave links, etc.) are

    maintained by Ericsson, Nokia Siemens Network and Huawei.,[4] business support by IBM

    and transmission towers by another company (Bharti Infratel Ltd. in India). [5] Ericsson agreed

    for the first time, to be paid by the minute for installation and maintenance of their equipment

    rather than being paid up front. This enabled the company to provide pan-India phone call

    19

    http://en.wikipedia.org/wiki/National_Stock_Exchange_of_Indiahttp://www.nseindia.com/marketinfo/companyinfo/companysearch.jsp?cons=BHARTIARTL&section=7http://www.nseindia.com/marketinfo/companyinfo/companysearch.jsp?cons=BHARTIARTL&section=7http://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://www.bseindia.com/bseplus/StockReach/AdvanceStockReach.aspx?scripcode=532454http://en.wikipedia.org/wiki/Telecommunicationshttp://en.wikipedia.org/wiki/Telecommunicationshttp://en.wikipedia.org/wiki/South_Asiahttp://en.wikipedia.org/wiki/South_Asiahttp://en.wikipedia.org/wiki/Africahttp://en.wikipedia.org/wiki/Channel_Islandshttp://en.wikipedia.org/wiki/GSM_networkhttp://en.wikipedia.org/wiki/2Ghttp://en.wikipedia.org/wiki/3Ghttp://en.wikipedia.org/wiki/List_of_mobile_network_operatorshttp://en.wikipedia.org/wiki/List_of_mobile_network_operatorshttp://en.wikipedia.org/wiki/List_of_mobile_network_operators_of_Indiahttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/China_Mobilehttp://en.wikipedia.org/wiki/China_Unicomhttp://en.wikipedia.org/wiki/Sunil_Bharti_Mittalhttp://en.wikipedia.org/wiki/Ciscohttp://en.wikipedia.org/wiki/Chennaihttp://en.wikipedia.org/wiki/Chennaihttp://en.wikipedia.org/wiki/Singaporehttp://en.wikipedia.org/wiki/Ericssonhttp://en.wikipedia.org/wiki/Nokia_Siemens_Networkhttp://en.wikipedia.org/wiki/Nokia_Siemens_Networkhttp://en.wikipedia.org/wiki/Huaweihttp://en.wikipedia.org/wiki/Huaweihttp://en.wikipedia.org/wiki/IBMhttp://en.wikipedia.org/wiki/IBMhttp://en.wikipedia.org/wiki/National_Stock_Exchange_of_Indiahttp://www.nseindia.com/marketinfo/companyinfo/companysearch.jsp?cons=BHARTIARTL&section=7http://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://www.bseindia.com/bseplus/StockReach/AdvanceStockReach.aspx?scripcode=532454http://en.wikipedia.org/wiki/Telecommunicationshttp://en.wikipedia.org/wiki/South_Asiahttp://en.wikipedia.org/wiki/South_Asiahttp://en.wikipedia.org/wiki/Africahttp://en.wikipedia.org/wiki/Channel_Islandshttp://en.wikipedia.org/wiki/GSM_networkhttp://en.wikipedia.org/wiki/2Ghttp://en.wikipedia.org/wiki/3Ghttp://en.wikipedia.org/wiki/List_of_mobile_network_operatorshttp://en.wikipedia.org/wiki/List_of_mobile_network_operatorshttp://en.wikipedia.org/wiki/List_of_mobile_network_operators_of_Indiahttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/China_Mobilehttp://en.wikipedia.org/wiki/China_Unicomhttp://en.wikipedia.org/wiki/Sunil_Bharti_Mittalhttp://en.wikipedia.org/wiki/Ciscohttp://en.wikipedia.org/wiki/Chennaihttp://en.wikipedia.org/wiki/Singaporehttp://en.wikipedia.org/wiki/Ericssonhttp://en.wikipedia.org/wiki/Nokia_Siemens_Networkhttp://en.wikipedia.org/wiki/Huaweihttp://en.wikipedia.org/wiki/IBM
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    rates of Rs. 1/minute (U$0.02/minute). Call rates have come down much further. [6] During the

    last financial year [2009-10], Bharti has roped in a strategic partnerAlcatel-Lucent to manage

    the network infrastructure for the Telemedia Business.

    Reliance Communication LimitedIn July 2007, the company announced it was buying US-based managed ethernet and

    application delivery services companyYipes Enterprise Services for a cash amount of 1200

    crore (the equivalent of US$300 million). The deal was announced of the overseas

    acquisition, the Reliance group has amalgamated the United States-based Flag Telecom for

    $210 million (roughly 950 crore). RTL operates in Madhya Pradesh, West Bengal, Himachal

    Pradesh, Orissa, Bihar, Assam, Kolkata and Northeast, offeringGSM services.

    Reliance communications limited provides integrated converged communications

    services to individual, enterprise, and carrier customers primarily in India. With more than 48

    million customers, the company serves consumers and enterprises with a digital network

    supporting voice, data, and video the company offers wireless, wireline, national long

    distance, international, voice, data, video and internet based communication services. Its

    services for individual customers primarily include mobile, fixed wireless phone, fixed

    wireless terminal, roaming, landline, internet connection, phone community, and public

    calling office.

    IDEA Cellular LimitedIdea Cellular, usually referred to as !dea, (BSE: 532822,NSE: IDEA) is a

    wireless telephony company operating in all the 22 telecom circles in India based in

    Mumbai. It is the 3rd largest GSM company in India behind Airtel,Vodafone.

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    http://en.wikipedia.org/wiki/Alcatel-Lucenthttp://en.wikipedia.org/wiki/Alcatel-Lucenthttp://en.wikipedia.org/wiki/Ethernethttp://en.wikipedia.org/w/index.php?title=Yipes_Enterprise_Services&action=edit&redlink=1http://en.wikipedia.org/w/index.php?title=Yipes_Enterprise_Services&action=edit&redlink=1http://www.flagtelecom.com/http://en.wikipedia.org/wiki/GSMhttp://en.wikipedia.org/wiki/GSMhttp://en.wikipedia.org/wiki/GSMhttp://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://www.bseindia.com/bseplus/StockReach/AdvanceStockReach.aspx?scripcode=532822http://en.wikipedia.org/wiki/National_Stock_Exchange_of_Indiahttp://www.nseindia.com/marketinfo/companyinfo/companysearch.jsp?cons=IDEA&section=7http://en.wikipedia.org/wiki/Telephonyhttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/Mumbaihttp://en.wikipedia.org/wiki/Airtelhttp://en.wikipedia.org/wiki/Vodafonehttp://en.wikipedia.org/wiki/Indian_ruphttp://en.wikipedia.org/wiki/Indian_ruphttp://en.wikipedia.org/wiki/Alcatel-Lucenthttp://en.wikipedia.org/wiki/Ethernethttp://en.wikipedia.org/w/index.php?title=Yipes_Enterprise_Services&action=edit&redlink=1http://www.flagtelecom.com/http://en.wikipedia.org/wiki/GSMhttp://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://www.bseindia.com/bseplus/StockReach/AdvanceStockReach.aspx?scripcode=532822http://en.wikipedia.org/wiki/National_Stock_Exchange_of_Indiahttp://www.nseindia.com/marketinfo/companyinfo/companysearch.jsp?cons=IDEA&section=7http://en.wikipedia.org/wiki/Telephonyhttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/Mumbaihttp://en.wikipedia.org/wiki/Airtelhttp://en.wikipedia.org/wiki/Vodafone
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    Idea Cellular is part of the Aditya Birla Group, which is India's first truly

    multinational corporation. India's leading GSM Mobile Services operator, IDEA Cellular has

    licenses to operate in 11 circles. With a customer base of over 17 million, IDEA Cellular has

    operations in Delhi, Maharashtra, Goa, Gujarat, Andhra Pradesh, Madhya Pradesh,

    Chattisgarh, Uttaranchal, Haryana, UP-West, Himachal Pradesh and Kerala. IDEA Cellular's

    footprint currently covers approximately 45% of India's population and over 50% of the

    potential telecom-market.

    BANKING INDUSTRY

    A bankis a financial intermediary and appears in several related basic forms:

    a central bank issues money on behalf of a government, and regulates the money

    supply

    a commercial bank accepts deposits and channels those deposits into lending

    activities, either directly or through capital markets. A bank connects customers with

    capital deficits to customers with capital surpluses on the world's open financial

    markets.

    a savings bank, also known as abuilding society in Britain is only allowed to borrowand save from members of a financial cooperative

    Banks often start as microcredit or savings clubs which become formalized, first as credit

    unions and later savings banks which transform themselves from cooperatives to limited

    liability companies. A fuller description of these forms appears below.

    Banking is generally a highly regulated industry, and government restrictions on financial

    activities by banks have varied over time and location. The current set of global bank capital

    standards are called Basel II. In some countries such as Germany, banks have historicallyowned major stakes in industrial corporations while in other countries such as the United

    States banks are prohibited from owning non-financial companies. In Japan, banks are

    usually the nexus of a cross-share holding entity known as the keiretsu. In Iceland banks had

    very light regulation prior to the 2008 collapse.

    The oldest bank still in existence is Monte dei Paschi di Siena, headquartered in Siena, Italy,

    and has been operating continuously since 1472.

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    http://en.wikipedia.org/wiki/Financial_intermediaryhttp://en.wikipedia.org/wiki/Central_bankhttp://en.wikipedia.org/wiki/Money_supplyhttp://en.wikipedia.org/wiki/Money_supplyhttp://en.wikipedia.org/wiki/Commercial_bankhttp://en.wikipedia.org/wiki/Deposit_accounthttp://en.wikipedia.org/wiki/Loanhttp://en.wikipedia.org/wiki/Capital_markethttp://en.wikipedia.org/wiki/Capital_surplushttp://en.wikipedia.org/wiki/Financial_markethttp://en.wikipedia.org/wiki/Financial_markethttp://en.wikipedia.org/wiki/Savings_bankhttp://en.wikipedia.org/wiki/Building_societyhttp://en.wikipedia.org/wiki/Cooperativehttp://en.wikipedia.org/wiki/Microcredithttp://en.wikipedia.org/wiki/Christmas_clubhttp://en.wikipedia.org/wiki/Credit_unionhttp://en.wikipedia.org/wiki/Credit_unionhttp://en.wikipedia.org/wiki/Limited_liabilityhttp://en.wikipedia.org/wiki/Limited_liabilityhttp://en.wikipedia.org/wiki/Bank_regulationhttp://en.wikipedia.org/wiki/Basel_IIhttp://en.wikipedia.org/wiki/Germanyhttp://en.wikipedia.org/wiki/United_Stateshttp://en.wikipedia.org/wiki/United_Stateshttp://en.wikipedia.org/wiki/Japanhttp://en.wikipedia.org/wiki/Keiretsuhttp://en.wikipedia.org/wiki/2008%C3%A2%C2%80%C2%932010_Icelandic_financial_crisishttp://en.wikipedia.org/wiki/Monte_dei_Paschi_di_Sienahttp://en.wikipedia.org/wiki/Sienahttp://en.wikipedia.org/wiki/Italyhttp://en.wikipedia.org/wiki/Financial_intermediaryhttp://en.wikipedia.org/wiki/Central_bankhttp://en.wikipedia.org/wiki/Money_supplyhttp://en.wikipedia.org/wiki/Money_supplyhttp://en.wikipedia.org/wiki/Commercial_bankhttp://en.wikipedia.org/wiki/Deposit_accounthttp://en.wikipedia.org/wiki/Loanhttp://en.wikipedia.org/wiki/Capital_markethttp://en.wikipedia.org/wiki/Capital_surplushttp://en.wikipedia.org/wiki/Financial_markethttp://en.wikipedia.org/wiki/Financial_markethttp://en.wikipedia.org/wiki/Savings_bankhttp://en.wikipedia.org/wiki/Building_societyhttp://en.wikipedia.org/wiki/Cooperativehttp://en.wikipedia.org/wiki/Microcredithttp://en.wikipedia.org/wiki/Christmas_clubhttp://en.wikipedia.org/wiki/Credit_unionhttp://en.wikipedia.org/wiki/Credit_unionhttp://en.wikipedia.org/wiki/Limited_liabilityhttp://en.wikipedia.org/wiki/Limited_liabilityhttp://en.wikipedia.org/wiki/Bank_regulationhttp://en.wikipedia.org/wiki/Basel_IIhttp://en.wikipedia.org/wiki/Germanyhttp://en.wikipedia.org/wiki/United_Stateshttp://en.wikipedia.org/wiki/United_Stateshttp://en.wikipedia.org/wiki/Japanhttp://en.wikipedia.org/wiki/Keiretsuhttp://en.wikipedia.org/wiki/2008%C3%A2%C2%80%C2%932010_Icelandic_financial_crisishttp://en.wikipedia.org/wiki/Monte_dei_Paschi_di_Sienahttp://en.wikipedia.org/wiki/Sienahttp://en.wikipedia.org/wiki/Italy
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    For the past three decades Indias banking system has several outstanding

    achievements to its credit. The most striking is its extensive reach. It is no longer confined to

    only metropolitans or cosmopolitans in India. In fact, Indian banking system has reached

    even to the remote corners of the country. This is one of the main reasons of Indias growth

    process.

    The industry is currently in a transition phase. On the one hand, the public sector

    banks, which are the mainstay of the Indian banking system, are in the process of shedding

    their flab in terms of excessive manpower, excessive Non Performing Assests and excessive

    governmental equity, while on the other hand the private sector banks are consolidating

    themselves through mergers and acquisitions.

    A burgeoning economy, financial sector reforms, rising foreign investment, favorable

    regulatory climate and demographic profile has led to India becoming one of the fastest

    growing banking market in the world. The overall banking industrys business grew at a

    CAGR of about 20 per cent from US$ 469.4 billion as of March 2002, to US$ 1171.29 billion

    by March 2007.

    Aggregate bank deposits of banks increased by us$129.26 billion (22.1 percent) at the

    end of March 2007 over the corresponding in 2006. It further increased by 21.2 percent to

    US$ 161.47 billion as at end march 2008 over the corresponding period in 2007.while

    aggregate demand deposits increased by 19.2 percent, aggregate time deposits increased by

    21.6 percent in the same period, indicating migration from small savings schemes of the

    government.

    Also. the banking sector has been doing exceedingly well on the financial front.

    Punjab National Bank

    Punjab National Bank (PNB) is one of India's largest nationalized banks, with

    some 4,500 locations. Punjab National Bank is serving over 3.5 crore customers through

    4525 Offices including 432 extension counters - largest amongst Nationalized Banks. The

    Bank was recently ranked 21st amongst top 500 companies by the leading financial daily,

    Economic Times.

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    The bank has been focussing on expanding its operations outside India and has

    identified some of the emerging economies which offer large business potential. Bank has set

    up representative offices at Almaty: Kazakhistan, Shanghai: China and in London. Besides,

    Bank has opened a fully fledged Branch in Kabul, Afghanistan.

    ICICI bank LimitedICICI Bank (NSE: ICICIBANK, BSE: 532174, NYSE: IBN) (formerly Industrial

    Credit and Investment Corporation of India, Hindi: ) is a major

    banking and financial services organization in India. It is the second largest bank in India

    and the largest private sector bank in India by market capitalization. The bank also has a

    network of 2,016 branches (as on 31 March 2010) and about 5,219 ATMs in India and

    presence in 18 countries, as well as some 24 million customers (at the end of July 2007).

    ICICI Bank offers a wide range of banking products and financial services to corporate and

    retail customers through a variety of delivery channels and specialization subsidiaries and

    affiliates in the areas of investment banking, life and non-life insurance, venture capital and

    asset management. (These data are dynamic.) ICICI Bank is also the largest issuer of credit

    cards in India. ICICI Bank's shares are listed on the stock exchanges at BSE,NSE, Kolkata

    and Vadodara (formerly Baroda) ; its ADRs trade on the New York Stock Exchange

    (NYSE).

    The Bank is expanding in overseas markets and has the largest international balance

    sheet among Indian banks. ICICI Bank now has wholly owned subsidiaries, branches and

    representatives offices in 19 countries, including an offshore unit in Mumbai. This includes

    wholly owned subsidiaries in Canada, Russia and the UK (the subsidiary through which the

    HiSAVE savings brand[5] is operated), offshore banking units in Bahrain and Singapore, an

    advisory branch in Dubai, branches in Belgium, Hong Kong and Sri Lanka, and

    representative offices in Bangladesh, China, Malaysia, Indonesia, South Africa, Thailand,

    the United Arab Emirates and USA. Overseas, the Bank is targeting the NRI (Non-Resident

    Indian) population in particular.

    ICICI reported a 1.15% rise in net profit to 1,014.21 crore on a 1.29% increase in

    total income to 9,712.31 crore in Q2 September 2008 over Q2 September 2007. The bank's

    CASA ratio increased to 30% in 2008 from 25% in 2007.

    ICICI Bank is one of the Big Fourbanks of India, along with State Bank of India,Punjab National Bankand HDFC Bank

    23

    http://en.wikipedia.org/wiki/National_Stock_Exchange_of_Indiahttp://www.nseindia.com/marketinfo/companyinfo/companysearch.jsp?cons=ICICIBANK&section=7http://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://www.bseindia.com/bseplus/StockReach/AdvanceStockReach.aspx?scripcode=532174http://en.wikipedia.org/wiki/New_York_Stock_Exchangehttp://www.nyse.com/about/listed/quickquote.html?ticker=ibnhttp://en.wikipedia.org/wiki/Hindi_languagehttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://en.wikipedia.org/wiki/National_Stock_Exchange_of_Indiahttp://en.wikipedia.org/wiki/Kolkata_Stock_Exchangehttp://en.wikipedia.org/wiki/Vadodara_Stock_Exchangehttp://en.wikipedia.org/wiki/American_Depositary_Receipthttp://en.wikipedia.org/wiki/New_York_Stock_Exchangehttp://en.wikipedia.org/wiki/CASA_ratiohttp://en.wikipedia.org/wiki/State_Bank_of_Indiahttp://en.wikipedia.org/wiki/Punjab_National_Bankhttp://en.wikipedia.org/wiki/HDFC_Bankhttp://en.wikipedia.org/wiki/Indian_ruphttp://en.wikipedia.org/wiki/Indian_ruphttp://en.wikipedia.org/wiki/National_Stock_Exchange_of_Indiahttp://www.nseindia.com/marketinfo/companyinfo/companysearch.jsp?cons=ICICIBANK&section=7http://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://www.bseindia.com/bseplus/StockReach/AdvanceStockReach.aspx?scripcode=532174http://en.wikipedia.org/wiki/New_York_Stock_Exchangehttp://www.nyse.com/about/listed/quickquote.html?ticker=ibnhttp://en.wikipedia.org/wiki/Hindi_languagehttp://en.wikipedia.org/wiki/Indiahttp://en.wikipedia.org/wiki/Bombay_Stock_Exchangehttp://en.wikipedia.org/wiki/National_Stock_Exchange_of_Indiahttp://en.wikipedia.org/wiki/Kolkata_Stock_Exchangehttp://en.wikipedia.org/wiki/Vadodara_Stock_Exchangehttp://en.wikipedia.org/wiki/American_Depositary_Receipthttp://en.wikipedia.org/wiki/New_York_Stock_Exchangehttp://en.wikipedia.org/wiki/CASA_ratiohttp://en.wikipedia.org/wiki/State_Bank_of_Indiahttp://en.wikipedia.org/wiki/Punjab_National_Bankhttp://en.wikipedia.org/wiki/HDFC_Bank
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    State Bank Of IndiaState Bank of India is the nation's largest bank. Tracing its roots back some 200

    years to the British East India Company (and initially established as the Bank of Calcutta in

    1806), the bank operates more than 14,000 branches within India, where it also owns

    majority stakes in seven associate banks. State Bank of India has more than 50 offices in

    nearly 35 other countries, including multiple locations in the US, Canada, and Nigeria. The

    bank has other units devoted to capital markets, fund management, factoring and commercial

    services, and brokerage services. The Reserve Bank of India owns about 60% of State Bank

    of India.

    The banks dealing rooms provide 24-hour trading facilities and employs state-of-the-

    art technology and information systems. SBIs relationships with over 700 correspondent

    banks and institutions across the globe enhance the strength of the Forex treasury.

    Data Collection

    The data used for this study is secondary data. The daily price movements of the

    companies have been collected from the website nseindia.com

    The data include the daily price movements of the companies for the period of one

    year from April 2010 to March 2011.

    3.2 ASSUMPTION

    As a first step in improving on "naive" forecasting models, non seasonal patterns and

    trends can be extrapolated using a moving-average or smoothingmodel. The basic

    assumption behind averaging and smoothing models is that the time series is "locally

    stationary" with a slowly varying mean. Hence, we take a moving(i.e., local) average toestimate the current value of the mean, and use this as the forecast. This can be considered as

    a compromise between the mean model and the random walk model. The moving average is

    often called a "smoothed" version of the original series, since short-term averaging has the

    effect of smoothing out the bumps in the original series. By adjusting the degree of

    smoothing (i.e., the "width" of the moving average), we can hope to strike some kind of

    optimal balance between the performance of the mean and random walk models.

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    LIMITATIONS OF THE STUDY

    The limitations are, period of study is limited few months only. The study is

    conducted only on selected industries, and few stocks. The data of previous one year from

    April 2010 to march 2011 is only taken. The market discounts everything, therefore it is

    difficult to arrive on a consensus based on just a particular tool prediction alone.

    3.3 DATA PROCESSING

    Type of data

    Secondary Data

    Sources

    Companys annual report

    Companys website

    Research Period

    1 year (from April 2010 to March 2011)

    3.4 Tools Analysis

    Quantitative method

    Regression

    Rate of change

    Relative Strength Index

    SPSS software used for analysis.

    CHAPTER-4

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    DATA ANALYSIS AND INTERPRETATION

    TECHNICAL ANALYSIS

    Analysis of share price movements of Telecom, Bank and Infrastructure by using technical

    analysis

    Introduction

    Technical analysis is a financial markets technique that claims the ability to forecast

    the future direction of security prices through the study of past market data, primarily price

    and volume Technical analysts believe that the historical performance of stocks and markets

    are indications of future performance.

    Tools used

    1. Relative Strength Index

    2. Regression Line

    3. Rate of change

    CALCULATIONS

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    4.1 Relative Strength Index (RSI)

    The RSI's full name is actually rather unfortunate as it is easily confused with other

    forms of Relative Strength analysis such as John Murphy's "Relative Strength" charts and

    IBD's "Relative Strength" rankings. Most other kinds of "Relative Strength" stuff involve

    using more than one stock in the calculation. Like most true indicators, the RSI only needs

    one stock to be computed. In order to avoid confusion, many people avoid using the RSI's full

    name and just call it "the RSI."

    Calculation of RSI

    100

    RSI = 100 - ------------

    1 + RS

    RS = Average Gain / Average Loss

    To simplify our explanation of the formula, the RSI has been broken down into its basic

    components which are the RS, the Average Gain, and the Average Loss.

    To calculate RSI values for a given dataset, first find the magnitude of all gains and losses for

    the 9 periods prior to the time where you wish to start the calculation. (Note: 9 is the standard

    number of periods used when calculating the RSI. If a different number is specified, justsubstitute that number in for "9" throughout this discussion.)

    To start the running calculation, the First Average Gain is calculated as the total of all gains

    during the past 9 periods divided by 9. Similarly, the First Average Loss is calculated as the

    total magnitude of all losses during the past 9 periods divided by 9. The next values for the

    "averages" are calculated by taking the previous value, multiplying it by 8, adding in the next

    Gain (or Loss), and then dividing by 9. This is Wilder's modified "smoothing" technique in

    Action .The RS value is simply the Average Gain divided by the Average Loss for each

    period.

    Finally, the RSI is simply the RS converted into an oscillator that goes between zero

    and 100 using this formula: 100 - (100 / RS + 1).

    Table 4.1.1 Calculation Of Day RSI For AIRTEL

    DATE PRICE VALUE GAIN LOSE RSI

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    03-Jan-11 359.35

    04-Jan-11 355.3 -4.05 -4.05

    05-Jan-11 349.9 -5.4 -5.4

    06-Jan-11 353.25 3.35 3.35

    07-Jan-11 338.7 -14.55 -14.55

    10-Jan-11 338.85 0.15 0.15

    11-Jan-11 339.2 0.35 0.35

    12-Jan-11 348.5 9.3 9.3

    13-Jan-11 346.05 -2.45 -2.45

    13.15 -26.45

    3.2875 -6.6125 -0.49716

    33.20419

    14-Jan-11 342.7 342.7 -3.35

    17-Jan-11 347.6 4.9 4.9

    18-Jan-11 344.5 -3.1 -3.1

    19-Jan-11 344.05 -0.45 -0.4520-Jan-11 340.3 -3.75 -3.75

    21-Jan-11 336.6 -3.7 -3.7

    24-Jan-11 333.85 -2.75 2.75

    25-Jan-11 336.85 3 3

    27-Jan-11 325.65 -11.2 -11.2

    7.9 -22.8

    3.95 -3.25714 -1.21272

    54.80635

    28-Jan-11 327.1 327.1 1.4531-Jan-11 318.55 -8.55 -8.55

    01-Feb-11 314.6 -3.95 -3.95

    02-Feb-11 323.25 8.65 8.65

    03-Feb-11 339.8 16.55 16.55

    04-Feb-11 331.8 -8 -8

    07-Feb-11 334 2.2 2.2

    08-Feb-11 333.25 -0.75 -0.75

    09-Feb-11 332.35 -0.9 -0.9

    28.85 -22.15

    7.2125 -4.43 -1.6281

    61.9482

    5

    10-Feb-11 323.05 323.05 -9.3

    11-Feb-11 319.55 -3.5 -3.5

    14-Feb-11 327.3 7.75 7.75

    15-Feb-11 328.75 1.45 1.45

    16-Feb-11 328.15 -0.6 -0.6

    17-Feb-11 338.45 10.3 10.3

    18-Feb-11 332.15 -6.3 -6.3

    21-Feb-11 331.95 -0.2 -0.2

    22-Feb-11 331.15 -0.8 -0.8

    19.5 -20.7

    6.5 -3.45 -1.88406

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    65.32594

    23-Feb-11 327.85 327.85 -3.3

    24-Feb-11 325.35 -2.5 -2.5

    25-Feb-11 329.2 3.85 3.85

    28-Feb-11 331.1 1.9 1.9

    01-Mar-11 337.85 6.75 6.75

    03-Mar-11 330.7 -7.15 -7.15

    04-Mar-11 326.75 -3.95 -3.95

    07-Mar-11 323.95 -2.8 -2.8

    08-Mar-11 334.2 10.25 10.25

    22.75 -19.7

    5.6875 -3.94 -1.44353

    59.1002

    09-Mar-11 332.3 332.3 -1.9

    10-Mar-11 329.7 -2.6 -2.6

    11-Mar-11 322.85 -6.85 -6.85

    14-Mar-11 321.55 -1.3 -1.3

    15-Mar-11 314.2 -7.35 -7.35

    16-Mar-11 320.45 6.25 6.25

    17-Mar-11 318.3 -2.15 -2.15

    18-Mar-11 317.9 -0.4 -0.4

    21-Mar-11 317.35 -0.55 -0.55

    6.25 -23.1

    6.25 -2.8875 -2.1645

    68.39444

    22-Mar-11 325.85 325.85 8.5

    23-Mar-11 330.4 4.55 4.55

    24-Mar-11 332.9 2.5 2.5

    25-Mar-11 339.1 6.2 6.2

    28-Mar-11 347.8 8.7 8.7

    29-Mar-11 359.5 11.7 11.7

    30-Mar-11 359.25 -0.25 -0.25

    42.15 -0.25

    7.025 -0.25 -28.196.56357

    Inference

    The broad rule is, if the RSI crosses seventy three may be downturn and it is time to sell. If

    the RSI falls below thirty it is time to pick up the scrip.If the share price value of Airtel is in

    the position of up trend,it gives a clear signal of sell.the term oversold describes a

    security or market that has declined to an unreasonably low level.this condition is characeried

    by an increase in sales and excess of net declines.

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    Table 4.1.2 Calculation Of Day RSI For RCOM

    DATE PRICE VALUE GAIN LOSS

    03-Jan-11 147.9 04-Jan-11 144.2 -3.7 -3.7

    05-Jan-11 140.15 -4.05 -4.05

    06-Jan-11 139.95 -0.2 -0.2

    07-Jan-11 139.1 -0.85 -0.85

    10-Jan-11 135 -4.1 -4.1

    11-Jan-11 137.8 2.8 2.8

    12-Jan-11 138.3 0.5 0.5

    13-Jan-11 138.5 0.2 0.2

    3.5 -12.9

    1.166667 -2.58 -0.4522

    31.13896

    14-Jan-11 138.4 138.4 -0.1

    17-Jan-11 131.8 -6.6 -6.6

    18-Jan-11 132.15 0.35 0.35

    19-Jan-11 131 -1.15 -1.15

    20-Jan-11 133.25 2.25 2.25

    21-Jan-11 136.1 2.85 2.85

    24-Jan-11 134.65 -1.45 -1.45

    25-Jan-11 132.8 -1.85 -1.85

    27-Jan-11 127.65 -5.15 -5.15

    5.45 -16.3

    1.816667 -2.71667 -0.66871

    40.07311

    28-Jan-11 125.1 125.1 -2.55

    31-Jan-11 122.6 -2.5 -2.5

    01-Feb-11 118.35 -4.25 -4.55

    02-Feb-11 117.05 -1.3 -1.3

    03-Feb-11 118.05 1 1

    04-Feb-11 114.75 -3.3 -3.3

    07-Feb-11 115.55 0.8 0.8

    08-Feb-11 110.7 -4.85 -4.85

    09-Feb-11 94.85 -15.85 -15.85

    1.8 -34.9

    0.9 -4.98571 -0.1805215.29013

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    10-Feb-11 96.55 96.55 1.7

    11-Feb-11 97.15 0.6 0.6

    14-Feb-11 97.4 0.25 0.25

    15-Feb-11 101.45 4.05 4.05

    16-Feb-11 99.7 -1.75 -1.75

    17-Feb-11 99.95 0.25 0.25

    18-Feb-11 93.15 -6.8 -6.8

    21-Feb-11 93.7 0.55 0.55

    22-Feb-11 95.1 1.4 1.4

    8.8 -8.55

    1.257143 -4.275 -0.29407

    22.72025

    23-Feb-11 96.5 96.5 1.4

    24-Feb-11 92.55 -3.95 -3.9525-Feb-11 87.55 -5 -5

    28-Feb-11 86 -1.55 -1.55

    01-Mar-11 90.3 4.3 4.3

    03-Mar-11 93.25 2.95 2.95

    04-Mar-11 93.3 0.05 0.05

    07-Mar-11 90.05 -3.25 -3.25

    08-Mar-11 90.8 0.75 0.75

    9.45 -13.75

    1.89 -3.4375 -0.54982

    35.47555

    09-Mar-11 99.3 99.3 8.5

    10-Mar-11 99.75 0.45 0.45

    11-Mar-11 96.3 -3.45 -3.45

    14-Mar-11 100.5 4.2 4.2

    15-Mar-11 100.95 0.45 0.45

    16-Mar-11 102.95 2 2

    17-Mar-11 106.55 3.6 3.6

    18-Mar-11 104.5 -2.05 -2.05

    21-Mar-11 102.9 -1.6 -1.6

    19.2 -7.1

    3.2 -2.36667 -1.35211

    57.4848

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    22-Mar-11 103.5 103.5 0.6

    23-Mar-11 104.65 1.15 1.15

    24-Mar-11 104.7 0.05 0.05

    25-Mar-11 106.8 2.1 2.1

    28-Mar-11 105.2 -1.6 -1.6

    29-Mar-11 109.6 4.4 4.4

    30-Mar-11 109.9 0.3 0.3

    8.6 -1.6

    1.433333 -1.6 -0.89583

    47.25182

    Inference

    The broad rule is, if the RSI crosses seventy three may be downturn and it is time to sell. If

    the RSI falls below thirty it is time to pick up the scrip. If the share price value of reliance

    communication is in the position of down trend, it gives a clear signal of buy. The term

    overbought describes the price level at which momentum can no longer be maintained and

    the price has to go down.

    Table 4.1.3 Calculation Of Day RSI For IDEA

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    Inference

    The broad rule is, if the

    RSI crosses seventy three may

    be downturn and it is time to

    sell. If the RSI falls below thirty

    it is time to pick up the scrip. Ifthe share price value of idea is

    in the position of uptrend to

    down trend, it gives a clear

    signal of buy. The term

    overbought describes the price

    level at which momentum can

    no longer be maintained and the

    price has to go down.

    33

    DATE PRICE VALUE GAIN LOSS

    03-Jan-11 70.7

    04-Jan-11 69.5 -1.2 -1.2

    05-Jan-11 69.45 -0.05 -0.05

    06-Jan-11 69.6 0.15 0.15

    07-Jan-11 67.3 -2.3 -2.3

    10-Jan-11 66.3 -1 -1

    11-Jan-11 66.5 0.2 0.2

    12-Jan-11 67.95 1.45 1.45

    13-Jan-11 67.3 -0.65 -0.65

    1.8 -5.2

    0.6 -1.04 -0.57692

    36.58444

    14-Jan-11 67.7 67.7 0.4

    17-Jan-11 69.15 1.45 1.45

    18-Jan-11 68.85 -0.3 -0.3

    19-Jan-11 68.85 0 0

    20-Jan-11 68.8 -0.05 -0.05

    21-Jan-11 68.6 -0.2 -0.2

    24-Jan-11 69.3 0.7 0.7

    25-Jan-11 71.55 2.25 2.25

    27-Jan-11 70.75 -0.8 -0.8

    4.8 -1.35

    0.96 -0.3375 -2.84444

    73.98543

    28-Jan-11 70.15 70.15 -0.6

    31-Jan-11 69.6 -0.55 -0.55

    01-Feb-11 66.45 -3.15 -3.15

    02-Feb-11 68.75 2.3 2.3

    03-Feb-11 71.3 2.55 2.55

    04-Feb-11 69.8 -1.5 -1.5

    07-Feb-11 68.8 -1 -108-Feb-11 68.4 -0.4 -0.4

    09-Feb-11 66.3 -2.1 -2.1

    4.85 -9.3

    2.425 -1.32857 -1.82527

    64.60515

    10-Feb-11 64.85 64.85 -1.4511-Feb-11 63.5 -1.35 -1.35

    14-Feb-11 63.35 -0.15 -0.15

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    4.2 CORRELATION ANALYSIS METHOD

    TABLE 4.2.1CALCULATION OF CORRELATION BETWEEN STOCK RETURN(SBI)AND

    MARKET RETURN(NSE)

    Correlations

    nse SbiPearson Correlation Nse 1.000 .297

    Sbi .297 1.000

    Sig. (1-tailed) Nse . .010

    Sbi .010 .

    N Nse 61 61

    Sbi 61 61

    34

    Descriptive Statistics

    Mean Std. Deviation NNse 5568.5902 210.04083 61

    Sbi 2641.9820 80.33271 61

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    INTERPRETATION:

    Since the value of R is less than +0.5, it is concluded that there exists a positive

    relationship between NSE and SBI . Since r is below +0.5 for an increase in stock return also.

    But the increase is not proportionate, it will be less than proportionate. It shows the stock is

    moving slower than market movement.

    TABLE 4.2.2 CALCULATION OF CORRELATION BETWEEN STOCK RETURN(PNB)ANDMARKET RETURN(NSE)

    Descriptive Statistics

    Mean Std. Deviation N

    Nse 5568.5902 210.04083 61

    Pnb 1104.8607 52.96681 61

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    Correlations

    Nse Pnb

    Pearson Correlation Nse 1.000 .927

    Pnb .927 1.000

    Sig. (1-tailed) Nse . .000

    Pnb .000 .

    N Nse 61 61

    Pnb 61 61

    Coefficientsa

    Model

    Unstandardized

    Coefficients

    Standar

    dized

    Coeffici

    ents

    t Sig.

    95.0%

    Confidence

    Interval for B Correlations

    B

    Std.

    Error Beta

    Lower

    Bound

    Upper

    Bound

    Zero-

    order

    Parti

    al Part

    1 (Constant)

    1504.977

    213.497

    7.049 .000 1077.769

    1932.184

    pnb 3.678 .193 .927 19.05

    5

    .000 3.292 4.064 .927 .927 .927

    a. Dependent Variable: nse

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    INTERPRETATION:

    Since the value of R is 1, it is concluded that there exists a positive relationship

    between NSE and PNB. Since r is positive it means that as both value are same (often called

    an equal correlation) The result shows that the PNB moves in tandem with the market.

    TABLE 4.2.3 CALCULATION OF CORRELATION BETWEEN STOCK RETURN(ICICIE)ANDMARKET RETURN(NSE)

    Descriptive Statistics

    Mean Std. Deviation N

    Nse 5568.5902 210.04083 61

    icici_bank 1027.5705 38.76580 61

    Correlations

    nse icici_bank

    Pearson Correlation Nse 1.000 .771

    icici_bank .771 1.000

    Sig. (1-tailed) Nse . .000

    icici_bank .000 .

    N Nse 61 61

    icici_bank 61 61

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    Model Summary

    Model

    R R Square

    Adjusted R

    Square

    Std. Error of

    the Estimate

    d

    im

    e

    n

    s

    i

    o

    n

    0

    1 .771a .595 .588 134.81971

    ANOVAb

    Model Sum of

    Squares df Mean Square F Sig.1 Regression 1574624.292 1 1574624.292 86.630 .000a

    Residual 1072404.823 59 18176.353

    Total 2647029.114 60

    a. Predictors: (Constant), icici_bank

    b. Dependent Variable: nse

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    Coefficientsa

    Model

    Unstandardized

    Coefficients

    Standard

    ized

    Coefficie

    nts

    t Sig.

    95.0% Confidence

    Interval for B Correlations

    B

    Std.

    Error Beta

    Lower

    Bound

    Upper

    Bound

    Zero-

    order

    Partia

    l Part

    1 (Const

    ant)

    1274.45

    5

    461.683 2.760 .008 350.629 2198.28

    2

    icici_b

    ank

    4.179 .449 .771 9.308 .000 3.281 5.077 .771 .771 .771

    a. Dependent Variable: nse

    INTERPRETATION:

    Since the value of R is +0.5, it is concluded that there exists a positive

    relationship between NSE and ICICI . Since r is +0.5 for an increase in stock return also.But

    the increase is not proportionate,it will be less than proportionate. It shows the stock is

    moving slower than market movement.

    4.3. RATE OF CHANGE

    Rate of change indicator or the ROC measures the rate of change between the current

    price and the price n number of days in the past. ROC helps to find out the overbought and

    oversold positions in a scrip. It is also useful in identifying the trend reversal. Closing prices

    are used to calculate the ROC. Daily closing prices are used for the daily ROC and weekly

    closing prices for weekly ROC.

    ROC = ( (Today's close - Close n periods ago) / (Close n periods ago) ) * 100

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    Chart no: 4.1.1 showing Simple Moving Average Curve of

    DLF from (1-1-2011 to 30-3-2011)

    Inference

    The chart of DLF shows that a large positive divergence formed in jan-11 and the ROC

    moved into negative territory just before the large decline. While this was a superb buy signal

    changed to sell signal. As with most technical indicators, ROC should be used in down trend

    with other aspects or technical analysis as well as other non- momentum based indicators.

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    Chart no:4.1.2 showing Simple Moving Average Curve of

    RELIANCE INFRASTRUCTURE from (1-1-2011 to 30-3-2011)

    Inference

    The chart of Reliance Infrastructure shows that a large positive divergence formed in jan-11

    and the ROC moved into negative territory just before the large decline. While this was a

    superb buy signal changed to sell signal. As with most technical indicators, ROC should be

    used in down trend with other aspects or technical analysis as well as other non- momentum

    based indicators.

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    Chart no:4.1.3 showing Simple Moving Average Curve of

    GMR INFRASTRUCTURE from (1-1-2011 to 30-3-2011)

    Inference

    The chart of GMR INFRASTRUCTURE shows that a large positive divergence formed in

    jan-11 and the ROC moved into negative territory just before the large decline and the price

    level increase in the month of feb-11and it maintain its curve level. While this was a superb

    buy signal changed to sell signal. As with most technical indicators, ROC should be used in

    down trend with other aspects or technical analysis as well as other non- momentum based

    indicators.

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    Pictorial depiction

    Chart no:4.1.4 SHOWING SIMPLE MOVING AVERAGE CHART OF

    BHARTI AIRTEL

    (APRIL 2010-MARCH 2011)

    Interpretation:

    V FORMATION:

    It is seen at the end of November. It is a bullish reversal pattern.

    Recognition criteria

    1. The curve position movement weak in November.

    2. It is fall down at the beginning of November and rise in the beginning of December.

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    Chart no:4.1.5 SHOWING SIMPLE MOVING AVERAGE CHART OF

    RELIANCE COMMUNICATION LTD

    (APRIL 2010-MARCH 2011)

    Interpretation:

    ASCENDING TRIANGLE:

    It is seen at the mid of June. It is a bullish pattern.

    Recognition criteria

    1. The curve position strength in the beginning of June.

    2. This trend supports the bull operators.

    3. The curve recovered at shortly.

    Chart no:4.1.6 SHOWING SIMPLE MOVING AVERAGE CHART OF IDEA

    (APRIL 2010-MARCH 2011)

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    Interpretation:

    V FORMATION:

    It is seen at the beginning of October.

    Recognition criteria

    1. The curve position weak in the end September.

    2. This trend supports the bull operators.

    3. The curve is reversed in a specified period.

    Chart no:4.1.7SHOWING SIMPLE MOVING AVERAGE CHART OF

    STATE BANK OF INDIA

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    (APRIL 2010-MARCH 2011)

    Interpretation:

    HEAD AND SHOULDER:

    It is seen at the beginning of November.

    Recognition criteria

    1. The curve position gives support in the beginning of November till January.

    2. This trend supports the bear operators.

    3. The curve is not stable in a specified period.

    Chart no:4.1.8 SHOWING SIMPLE MOVING AVERAGE CHART OF

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    PUNJAB NATIONAL BANK

    (APRIL 2010-MARCH 2011)

    Interpretation:

    HEAD AND SHOULDER:

    It is seen at the mid of November. It is a bearish pattern.

    Recognition criteria

    1. The curve position weak in beginning of November.

    2. This trend supports the bear operators.

    3. The curve is not support the market.

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    Chart no:4.1.9 SHOWING SIMPLE MOVING AVERAGE CHART OF

    ICICI BANK LTD

    (APRIL 2010-MARCH 2011)

    Interpretation:

    DESCENDING TRIANGLE:

    It is seen at the beginning of November.

    Recognition criteria

    1. The curve position weak in the beginning of November.

    2. This trend supports the bear operators.

    3. The curve is not reversed in a specified period.

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    Chart no:4.1.10 SHOWING SIMPLE MOVING AVERAGE CHART OF DLF LTD

    (APRIL 2010-MARCH 2011)

    Interpretation:

    DESCENDING TRIANGLE:

    It is seen at the beginning of January. It is a bearish pattern.

    Recognition criteria

    1. The curve position weak in January to march.

    2. This trend supports the bear operators.

    3. The curve is not reversed in a specified period.

    Chart no:4.1.11 SHOWING SIMPLE MOVING AVERAGE CHART OFRELIANCE INFRASTRUTURE LTD

    (APRIL 2010-MARCH 2011)

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    Interpretation:

    INVERTED HEAD AND SHOULDER:

    It is seen at the mid of july. It indicates the end of bear market and beginning of the

    bull market.

    Recognition criteria

    1. The curve position slowly fall down.

    2. This trend supports the bull operators.

    3. It recovered the position shortly.

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    Chart no:4.1.12 SHOWING SIMPLE MOVING AVERAGE CHART OF

    GMR INFRASTRUTURE LTD

    (APRIL 2010-MARCH 2011)

    Interpretation:

    V FORMATION

    It is seen at the mid of February. It is a bullish pattern.

    Recognition criteria

    1. The curve position is slowly fall down in the February.

    2. This trend supports the bull operators.

    3. The curve is reversed in a specified period.

    CHAPTER -5

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    5.1 FINDINGS

    Inference

    The broad rule is, if the RSI crosses seventy three may be downturn and it is time to sell. If

    the RSI falls below thirty it is time to pick up the scrip.If the share price value of Airtel is in

    the position of up trend,it gives a clear signal of sell.the term oversold describes a

    security or market that has declined to an unreasonably low level.this condition is characeried

    by an increase in sales and excess of net declines.

    Inference

    The broad rule is, if the RSI crosses seventy three may be downturn and it is time to sell. If

    the RSI falls below thirty it is time to pick up the scrip. If the share price value of reliance

    communication is in the position of down trend, it gives a clear signal of buy. The term

    overbought describes the price level at which momentum can no longer be maintained and

    the price has to go down.

    Inference

    The broad rule is, if the RSI crosses seventy three may be downturn and it is time to

    sell. If the RSI falls below thirty it is time to pick up the scrip. If the share price value of idea

    is in the position of uptrend to down trend, it gives a clear signal of buy. The termoverbought describes the price level at which momentum can no longer be maintained and

    the price has to go down.

    INTERPRETATION:

    Since the value of R is less than +0.5, it is concluded that there exists a positive

    relationship between NSE and SBI . Since r is below +0.5 for an increase in stock return

    also.But the increase is not proportionate, it will be less than proportionate. It shows the stock

    is moving slower than market movement.

    INTERPRETATION:

    Since the value of R is 1, it is concluded that there exists a positive relationship

    between NSE and PNB. Since r is positive it means that as both value are same (often called

    an equal correlation) The result shows that the PNB moves in tandem with the market.

    INTERPRETATION:

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    Since the value of R is +0.5, it is concluded that there exists a positive

    relationship between NSE and ICICI . Since r is +0.5 for an increase in stock return also.But

    the increase is not proportionate, it will be less than proportionate. It shows the stock is

    moving slower than market movement.

    Inference

    The chart of DLF shows that a large positive divergence formed in jan-11 and the ROC

    moved into negative territory just before the large decline. While this was a superb buy signal

    changed to sell signal. As with most technical indicators, ROC should be used in down trend

    with other aspects or technical analysis as well as other non- momentum based indicators.

    Inference

    The chart of Reliance Infrastructure shows that a large positive divergence formed in jan-11

    and the ROC moved into negative territory just before the large decline. While this was a

    superb buy signal changed to sell signal. As with most technical indicators, ROC should be

    used in down trend with other aspects or technical analysis as well as other non- momentum

    based indicators.

    Inference

    The chart of GMR INFRASTRUCTURE shows that a large positive divergence formed in

    jan-11 and the ROC moved into negative territory just before the large decline and the price

    level increase in the month of feb-11and it maintain its curve level. While this was a superb

    buy signal changed to sell signal. As with most technical indicators, ROC should be used in

    down trend with other aspects or technical analysis as well as other non- momentum based

    indicators.

    SUGGESSIONS

    Based on the correlation the researcher could find that the r value is equal

    to 1 for PNB in banking sector. Investor can go for trading in such scrips.

    Based on the correlation the researcher could find that roc curve of DLF is

    increased at the end. Investor can go for trading in such scrips.

    Based on the correlation the researcher could find that RSI of AIRTEL is

    increased at the end. Investor can go for trading in such scrips.

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    CONCLUSION

    5.2 CONCLUSION

    This project was mainly carried out to find out Technical

    performance of selected script in the share market. It tried to identify impact of

    technical performance over the market. It tries to pick out prime stock in

    Telecom,infrastructure and bank which having less risk with good return, by

    using few tools, obviously BMA wealth creators is one the company to analysis

    the shares .

    Perhaps a similar study would be conducted in the other sector or other similar

    industry in India to sublime and substantiate the result of the study.

    BIBLIOGRAPHY

    BOOKS

    Punithavathy Pandian - Security analysis and portfolio management Vikas

    Publication Ltd-2010.

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    V. Kevin - Security analysis and portfolio management S.Chand Publication Ltd

    1995

    JOURNALS

    Govert E. Bijwaard Maarten C.W. Janssen*Emiel Maasland, early mover advantage

    December 22, 2004.

    Damodharan .V. S.* and Rengarajan.V A Projection of Best Emerging Bank in

    Sultanate of Oman January 2008

    Alexander van der Vooren and Floortje Alkemade,Innovation Studies Group,UtrechtUniversity. The di_usion of infrastructure dependent technologies May 2009

    WEBSITES

    www.nseindia.com

    www.tradersedge.com

    www.google.com

    www.icharts.com

    www.moneycontrol.com

    www.stockchart.com

    55

    http://www.nseindia.com/http://www.tradersedge.com/http://www.google.com/http://www.icharts.com/http://www.moneycontrol.com/http://www.stockchart.com/http://www.nseindia.com/http://www.tradersedge.com/http://www.google.com/http://www.icharts.com/http://www.moneycontrol.com/http://www.stockchart.com/
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