Lablanc BehavioralFin ModE 2013

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    Course aims and description of content

    This course goes beyond the rational corporate models used in financial decision-making

    and examines how individuals cognitive, neurological, and unconscious processes may

    bias and unknowingly influence decisions made by financial managers. The basic

    theories and tenets of behavioral finance will be covered with applications to both

    corporate finance and invest- ments.

    Intended Learning Outcomes

    Key (Assessed) Learning Outcomes

    On completion of this course, students should understand and be able to do the following:

    1. Develop a solid foundation in the major concepts encompassed by behavioral

    finance.

    2. Identify behavioral effects in themselves and others in the context of financial

    decision- making.

    3. Understand the role of cultural background within the context of behavioral

    finance.

    4. Understand managerial decision traps, diagnose managerial biases and

    correct them

    5. Understand how different investment strategies interact in financial markets

    6. Communicate effectively the insights developed in the class.

    Supplemental Learning Outcomes

    While not assessed, it is anticipated that students will develop the following:

    1. Understanding the role of emotion and intuition in managerial decision making

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    Teaching and Learning

    This course will be presented in lecture and discussion format, with some use of cases

    and ex- ercises to demonstrate the application of the principles developed. As such, each

    student is expected to come to class fully prepared for every class period. Class content

    and discussion builds on the content of assigned reading and preparation and does not

    serve as an alternative to individual preparation. We will have occasional classroom

    experiments and demonstrations

    Method and weighting of assessmentIn this course, students are evaluated by the following means of assessment:

    Assignment % of final grade

    Paper/Project 30% (group work)

    Midterm Exam 30%

    Final Exam 30%

    Attendance/Participation 10%

    Detailed breakdown of each means of assessment:

    Assignment Group Project

    Weighting (% of final grade): 30%

    Learning Outcome(s) Assessed: Overall understanding of material

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    Description of Assignment: Each group must write up one of the following:

    1. A research paper tying the materials in this

    class to a phenomenon not covered in this class

    2. A business plan which would utilize

    concepts in this class

    3. A trading model based on concepts in the

    class

    4. An experiment that tests ideas in this class

    Quality Indicators (how will it

    be graded; what constitutes a

    good assignment):

    Assignment will be evaluated based on quality of

    research, viability of proposal, citation and

    completeness of trading model or experimentaldesign.

    Assignment Attendance and Class Participation

    Weighting (% of final grade): 10%

    Learning Outcome(s) Assessed: Ability to communicate ideas and questionseffectively

    Quality Indicators (how will it

    be graded; what constitutes a

    good assignment):

    Student participation must be high quality, add to

    the discussion and pro- voke thought.

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    Assessment ExpectationsRegistrars scale of grade points:

    A 4.00 C+ 2.33

    A- 3.67 C 2.00

    B+ 3.33 C- 1.67

    B 3.00 D 1.00

    B- 2.67 F 0.00

    Attendance, Participation and Student Responsibilities

    AttendanceStudents are expected to attend all scheduled classes, examinations, class presentations,

    simulations, exercises, field research visits, discussion groups, plant visits, lectures, and

    special programs. Absences will be excused only in cases when a student misses a class

    because of serious illness, serious illness of an immediate family member, or a death in the

    immediate family. Decisions on whether an absence qualifies as an excused absence will be

    made by the campus dean. To be excused for an absence, a student must submit a request

    to the dean's office along with any required documentation. If a campus dean approves a

    student's request to be excused for an absence, the dean will notify all affected faculty. In

    cases of excused absences, faculty members will be expected to offer make-up or substitute

    exercises or exams, where feasible.

    An absence for any reason except those qualifying for an excused absence will be

    considered an unexcused absence.

    Students who miss more than 20% of scheduled classroom/activity hours because of

    unexcused absences (e.g. more than two meetings of a 10-meeting course, or more than 4

    meetings of a 20-meeting course) will fail the course. Students who miss substantial portions

    of a course because of excused absences will receive an Incomplete grade for the course

    and will be required to make up missed work or re-take the course.

    With the approval of the campus dean, individual Instructors may impose additional and/or

    stricter attendance requirements and penalties for tardiness or absence, as they see

    appropriate for their courses. Students should carefully read course syllabi to be sure that

    they understand the particular expectations for attendance in each course.

    If a student misses a class or other required activity, it is his or her responsibility to review,

    with classmates, the material covered, and to consult with the Instructor prior to the next

    class meeting regarding any possible make-up requirements. In case of illness or absence

    due to religious obligations, students must notify the Instructor(s) by email as soon they are

    aware of the time conflict. (Note: any make-up work approved by the course Instructor must

    be completed either immediately before or immediately after the class session missed. It is

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    not acceptable to submit make-up work after the course has ended and/or grades have been

    issued.)

    Absences count as a zero for that day's class participation.

    Classes begin promptly according to the published schedule. It is the responsibility of eachstudent to be in class on time. Classroom attendance will be recorded. To eliminate

    disruption, students are requested not to enter or leave the classroom when class is in

    session. Furthermore, students are expected to attend all class sessions with their

    corresponding cohort and team. Switching cohorts to accommodate class attendance is not

    allowed except in the presence of extenuating circumstances and with the prior approval by

    the course Instructor and the Registrars Office.

    Attending group meetings and participating in the assigned study teams are required

    components of the program and are considered an important part of the experiential learning

    process. Group member feedback evaluations may be administered by individual Instructors

    to assess each team members participation and attendance for group projects.

    Maintainingthe LearningEnvironment

    Certain behaviors disrupt class, such as a student arriving late, a phone ringing, a student

    leaving in the middle of class, etc. Instructors have the authority to decide policies for their

    classroom regarding these and similar behaviors that may disrupt the learning environment.

    All members of the class are expected to respect the learning environment and the

    instructors efforts to maintain it.

    Participation

    Students are expected to participate orally in class, and in online forums and discussions, in

    a critical and evaluative manner; to approach instructor and fellow students with respect and

    tolerance; and to actively engage in debate, while avoiding derogatory or inflammatory

    comments on the cultures or attitudes of others in the class.

    Weeklyworkloadfor each course

    The syllabus is based on a total time commitment of approximately 150 hours of work per 3-

    credit course, combining in-class and out-of-class work. In addition to the hours spent in

    class, students should expect group work, reading, studying, writing and preparation to

    amount to the stated total by the end of the class. At different times of any given term, theworkload will naturally vary to some extent, and students are expected to make allowance

    for this variance in workload.

    Academic IntegrityAny work submitted by a student in this course for academic credit must be the student's

    own work. If you present, as your own idea, any material copied, paraphrased, or extensively

    drawn upon, you are plagiarizingunless you give full citations for your sources. Of course,

    you may make full use of ideas, arguments and information obtained from books etc. but you

    must make clear in a footnote whose work you are drawing on. Failure to cite your sources

    will result in a failing grade for that assignment. In cases of blatant and intentional

    misrepresentation, a student will receive a failing grade for the course and may face

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    disciplinary action before the Academic Standards Committee, which, in extreme cases, may

    result in dismissal from the School.

    The Hult policy on plagiarism applies to all work done at the School. Please consult the

    Student Handbook for further details.

    During examinations, you must do your own work. Talking or discussion is not permitted, nor

    may you compare papers, copy from others, or collaborate in any way. Any failure to abide

    by examination rules will result in failure of the exam, and may lead to failure of the course

    and School disciplinary action.

    Accommodating Special NeedsIn order to receive disability-related academic accommodations, students must provide the

    Registry before the start of the academic year with a medical letter authorizing special

    accommodations and specifying the types of accommodation required. Theaccommodations that are authorized in the letter should then be discussed and agreed upon

    with the Dean and the instructor of each course. Accommodations, such as exam

    administration, are not provided retroactively; therefore, planning for accommodations at the

    beginning of the academic year is necessary.

    Special policies on this course

    Class Rep: The class must choose a class rep who will communicate with me about

    class concerns. Please do not hesitate to contact him or her with any comments,

    criticisms, ideas for improving the class, and feedback about what is working or notworking.

    Experiments: We will have occasional classroom experiments and demonstrations.

    Some of these are in the form of games and auctions that involve REAL MONEY.

    Students may win or lose money during these demonstrations. You will be paid your

    winnings and you will be expected to pay your losses according to the rules of the game.

    Participation in these games is not mandatory! Your grade will not be affected by your

    participation or the results of the game.

    BE SURE YOU UNDERSTAND THE RULES OF THE GAME BEFORE

    PARTICIPATING.

    YOU MUST DECIDE WHETHER TO PARTICIPATE BEFORE THE GAME STARTS.

    Although the class as a whole will not lose money over the course of the semester,

    individual students may be winners or losers.

    Ethics: While I encourage you to seek knowledge wherever you find it, do not take

    unethical shortcuts in preparing your work..

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    Essential reading

    There is no text for this class. The course reading will consist primarily of journal articles.These articles will be posted to myCourses. You are responsible for printing them, should

    you desire a printed copy. Those articles are listed below in the syllabus and will be

    supplemented throughout the semester.

    You should try to do as much of the reading as you can prior to class, but you might find

    some readings easier after class.

    Recommended Reading

    Although there is no single good textbook, there are plenty of books about judgment and

    decision making (JDM) and behavioral finance that you might find interesting:

    Justin Fox, The Myth of the Efficient Market

    John Cassidy, How Markets Fail

    Kahneman, Thinking Fast and Slow

    Andrei Schleifer, Inefficient Markets: An Introduction to

    Behavioral Finance

    Richard Thaler, The Winners Curse

    Hersh Shefrin, Beyond Greed and Fear

    Shiller, Irrational Exuberance

    Gilovich, Griffin, and Kahneman, Heuristics and Biases

    Thaler, Advances in Behavioral Finance, v 1,2

    Bazerman, Judgment in Managerial Decision Making

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    Course ScheduleThis schedule is provisional. Check back frequently for updates and revisions. I will be

    refining the reading list as the semester progresses.

    Those readings preceded by an asterisk (*) are required reading.

    Class 1 Date JUL 22

    Topic Lecture 1: Introduction, Winners Curse, Historical Bubbles

    Reading Barberis and Thaler (2001), A Survey of Behavioral Finance

    *Science, Crazy Money

    Garber, Famous First Bubbles

    *http://www.newyorker.com/reporting/2009/10/05/091005fa_fact_c

    assidy

    Bikchandani, Hirschleifer, Welch, A Theory of Fads

    *Devenow and Welch, Rational Herding

    *Caginalp, Gunduz, Porter, and Smith, Financial Bubbles, Excess

    Cash, Momentum, and Incomplete Information.

    *Thaler, Anomalies: The Winners Curse

    Class 2 Date JUL 23

    Topic Lecture 2: Efficient Markets, Event Studies, and Anomolies

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    http://www.newyorker.com/reporting/2009/10/05/091005fa_fact_cassidyhttp://www.newyorker.com/reporting/2009/10/05/091005fa_fact_cassidyhttp://www.newyorker.com/reporting/2009/10/05/091005fa_fact_cassidyhttp://www.newyorker.com/reporting/2009/10/05/091005fa_fact_cassidy
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    Class 2 Date JUL 23

    Reading Fama, Efficient Markets (1965)

    Fama Market Efficiency, Long Term Returns, and Behavioral

    Finance (1998)

    Rubinstein, Rational Markets; Yes or No? The Affirmative Case

    *Lo, Efficient MarketsMotivating Evidence

    Gilson and Kraakman, Mechanism of Market Efficiency

    *Shiller, From Efficient Markets to Behavioral Finance

    Class 3 Date JUL 25

    Topic Lecture 3: Noise Traders

    Reading *Black, Noise

    *Shleifer and Summers, The Noise Trader Approach to Finance

    *Lamont and Thaler, The Law of One Price

    *Baker and Wurgler Investor Sentiment

    *Lee, Shleifer, and Thaler, Closed End Funds

    Assignment Pitinos Financial UVA-F-1599

    Class 4 Date JUL 26

    Topic Lecture 4: Liquidity, and the Limits to Arbitrage

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    Class 4 Date JUL 26

    Reading Schleifer and Vishny (1997) The Limits of Arbitrage

    Jones and Lamont, Short Sale Constraints and Stock Returns

    DAvolio The Market for Borrowing Stock

    *Harrison and Hong, Disagreement and the Stock Market

    *Stout, Inefficient Markets and the New Finance

    LaBlanc, In Praise of Rational Investors

    Class 5 Date JUL 29

    Topic Lecture 5: Biases and Heuristics: Probability Mistakes, Anchoring

    and Framing

    Reading Hirschleifer (2001) Investor Psychology and Asset Pricing

    *Tversky and Kahneman, Judgment under Uncertainty

    Tversky and Kahneman, Rational Choice and the Framing of

    Decisions

    *Whitson, Lacking Control*Kahneman, Maps of Bounded Rationality

    Odean (1998) Are Investors Reluctant to Realize their Losses

    Odean (1998) Do Investors Trade Too Much?

    *Thaler and Rabin, Anomalies: Risk Aversion

    *Kahneman, Knetsch, and Thaler, Endowment Effect, Loss

    Aversion, and Status Quo Bias

    Odean and Barber, The internet and the investor

    *Thaler, Mental Accounting Matters

    Class 6 Date JUL 30

    Topic MIDTERM (1.5 hours)

    Lecture 6: Biases and Heuristics: Overconfidence and Behavioral

    Corporate Finance

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    Class 6 Date JUL 30

    Reading Baker, Ruback, and Wurgler, Behavioral Corporate Finance: a

    Survey

    *Shefrin, Behavioral Corporate Finance*Kahneman and Lovallo, Timid Choices and Bold Forecasts

    Class 7 Date AUG 1

    Topic Lecture 7: Discounting and Self-Control

    Reading *Loewenstein, The Pleasures and Pain of Information,

    4*Lowenstein and Thaler, Intertemporal Choice

    *Benartzi and Thaler, Heuristics in Retirement

    Iyengar, 401k

    *Taylor and Brown, Illusion and Well Being

    Odean, Volume, Volatility, Price and Profit When all Traders are

    Above Average

    Class 8 Date AUG 2

    Topic Lecture 8: The Biological View

    Reading Baker, Ruback, and Wurgler, Behavioral Corporate Finance: a

    Survey

    *Shefrin, Behavioral Corporate Finance

    *Kahneman and Lovallo, Timid Choices and Bold Forecasts

    Class 9 Date AUG 5

    Topic Lecture 8: The Biological View

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    Class 9 Date AUG 5

    Reading Camerer, et. al. Neuroeconomics

    Robson, Evolution and Human Behavior

    McClure, Separate Neural Systems

    *Farmer and Geakoplos, The Virtue and Vice of Equilibrium

    *Farmer and Lo Frontiers of Finance

    *Mauboissin, Complexity

    Class 10 Date AUG 5

    Assignment FINAL EXAM

    Class 11 Date AUG 7

    Assignment PROJECTS

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