final eco presetation

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    Group 3-Ashwin Nair(10P213)-Nikhil Gupta(10P215)-Poulomi Mukherjee(10P219)-Shashank Shekhar(10P232)-Vipul Manglik(10P241)

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    Started in 1945 as a trading company Obtained license in 1959 to manufacture two

    and three wheelers Rolled out 100,000 vehicle in 1970 Managed to produce and sell 100,000 vehicles in

    single year in 1977 Demerged into 3 separate entities in 2005 -

    Bajaj finserve, Bajaj Auto & Bajaj Holdings andInvestment Ltd Building $2,500 low cost car in collaboration

    with Renault and Nissan Motor

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    Few firms selling a homogeneous or

    differentiated product

    High degree of interdependence or rivalryamong firms

    Price competition can lead to ruinous price

    wars Firms prefer to compete on basis of product

    differentiation, advertising and service

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    Entry into industry possible, but it is not easy

    Economies of scale

    Huge capital investments and specialized inputs

    Patent ownership for exclusive right to produce acommodity or use a particular production process

    Loyal customer base Few firms may own or control the entire supply of

    a raw material

    Government franchise given only to a few firms

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    P* Current Market Price

    At prices above P* a small price risebrings a big decrease in the quantity

    sold highly elastic

    At prices below P* even a large price

    cut brings only a small increase in thequantity sold less elastic

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    47.00%

    34.00%

    8.00%

    5.00%3.00% 3.00%

    Motorcycle Market Share

    Hero Honda

    Bajaj Auto

    TVS Motors

    Honda Motorcycle

    Ya a aOt ers

    Four Fir Concentration Ratio = 0.96

    Herfinda l Index ~ 3500

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    Constant Price war between Hero Honda & Bajaj October 2007: Hero Honda offered discount of Rs

    2020 on CD Deluxe; Bajaj responded with a discountof Rs 4000 on Platina to counter competition

    Reducing Operating Margins over the years dueto competitive pricing strategies by all theplayers

    Lower product prices also acts as an barrier to

    entry Increased advertising spends by one leads to

    increase in ad spends by all players Bajaj launches Naye Bharat ki Nayi Tasveer ad

    campaign

    Honda responds with Desh ki Dhadkan

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    Threat from Substitutes

    Low price 4 wheelers

    4 wheelers convenience and status symbol

    Second hand car market

    Threat from new entrants

    Barriers to entry reduced as 100% FDI allowed

    Huge investments required for setting updistribution channels and service stations

    Brand building costs are high

    100% import duty on foreign bikes reducesnewer entrants

    Supplier Power

    Supplier power is low

    Suppliers fragmented and exclusive

    Backward integration by 2 wheeler companies

    Buying Power

    Buying power is high

    Price sensitivity reduced due to ease infinancing

    Buyers demand 2 wheelers as it suits theirpersonality and comfort

    Current competition:

    - Intensified

    - Greater brand building and advertising

    -Tremendous growth potential in rural markets

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    Personal Income Demand increases as income increases, later substituted by demand for four

    wheelers Demography

    Bigger the young and working population, greater the demand Penetration Level Lower the penetration level in the market better the scope for market

    demand Interest rates

    Decrease in bank rates leads to increase in demand Oil Prices

    Increasing oil prices deter many lower many middle class buyers State of public transport system

    Poorer the public transport, the greater the demand Low Priced Cars

    Launch of low priced cars like Tata Nano and reduction in price of second handcars

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    R Square 86.83%

    Adjusted R Square 83.07%

    F - Statistic 23.0758

    Critical F-Statistic at 95% Confidence: 4.74

    Dependent Variable:Annual Sales for Bajaj Motor cycles

    Independent Variable:Per Capita Income of India

    WPI (Weighted Price Index) of Petrol

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    Equation:

    Sales = 9254.71*Petrol WPI +

    14.85*Per Capita Income -593708.08

    0.00

    500,000.00

    1,000,000.00

    1,500,000.00

    2,000,000.00

    2,500,000.00

    3,000,000.00

    3,500,000.00

    Actual

    Forecast

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    Year Petrol WPI Per Capita Income Bajaj Annual Sales

    2000-01 154.24 16688 963115

    2001-02 158.09 17782 1198227

    2002-03 163.25 18885 1251855

    2003-04 178.73 20871 1288910

    2004-05 203.54 23198 1602565

    2005-06 231.09 26003 2029090

    2006-07 254.79 29524 2396999

    2007-08 242.26 33283 2160927

    2008-09 260.85 37490 1919582

    2009-10 242.66 40489 2511696

    2010-11 281.15 41519 2624574

    2011-12 294.27 44264 2786807

    2012-13 307.40 47009 2949039

    2013-14 320.53 49753 3111271

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    Trend Equation: St = S0 + bt

    Bajaj Quarterly Motorcycle sales trend

    equation with quarterly data for the last 10years: St = 111558 + 14391t

    R2= 80.99%

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    0

    100000

    200000

    300000

    00000

    500000

    600000

    700000

    800000

    900000

    1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 1 3 5 7

    Actual

    Forecast

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    Quarter Actual Sales Forecast Actual/Forecast

    2000 Q2 146097 125949 1.16

    2001 Q2 168546 183513 0.92

    2002 Q2 210932 241077 0.87

    2003 Q2 259071 298641 0.87

    2004 Q2 341435 356205 0.96

    2005 Q2 445557 413769 1.08

    2006 Q2 623062 471333 1.32

    2007 Q2 531516 528897 1.00

    2008 Q2 561475 586461 0.96

    2009 Q2 599737 644025 0.93

    Average 1.01

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    0

    100000

    00000

    300000

    400000

    500000

    600000

    700000

    800000

    900000

    1 3 5 7 9 11 13 15 17 19 1 3 5 7 9 31 33 35 37 39 41 43 45 47

    Actual

    Forecast

    Forecast withseasonal

    variations

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    St = S0 + b1*D1t+ b2*D2t+b3*D3t+b0t

    Dit: Seasonal Dummy Variable for the i

    th Quarter

    TrendE

    quation Obtained:St = 84421 + 22957*D1t + 29629*D2t + 50534*D3t+ 14547t

    R2= 81.94%

    F statistic = 39.70

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    0

    100000

    200000

    300000

    400000

    500000

    600000

    700000

    800000

    00000

    1 3 5 7 11 13 15 17 1 21 23 25 27 2 31 33 35 37 3 41 43 45 47

    Forecast

    Actual

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    QuarterTrend Forecast without

    Seasonal Variations

    Forecast using to Ratio-to-

    Trend Method

    Forecast Using Dummy

    Variables

    2010 Q2 701589 706621 706808

    2010 Q3 715980 757776 742170

    2010 Q4 730371 684598 706094

    2011 Q1 744762 706820 743509

    2011 Q2 759153 764598 764638

    2011 Q3 773544 818700 800000

    2011 Q4 787935 738555 763924

    2012 Q1 802326 761452 801339

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