Trading on the Size and Value Premia: The case of Dimensional Fund Advisors - HBS Case (2002)

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MODULE SPECIFICATION UNDERGRADUATE PROGRAMMES KEY FACTS Module name Asset Management Module code IF2210 School Cass Business School Department or equivalent UG Programme UK credits 15 ECTS 7.5 Level 5 MODULE SUMMARY Module outline and aims This course aims to provide a thorough understanding of the issues that are relevant to the asset management industry, with special emphasis on understanding and measuring investment performance. Our discussions will focus on mutual funds, hedge funds and exchange traded funds with less emphasis given to other fund management vehicles. The course will not cover security analysis. Content outline WEEK 1: Introduction and Overview of the fund management industry Background discussion: market efficiency Asset classes Types of fund management vehicle Statistical overview of the asset management industry WEEK 2: Closed-End Funds Background discussion: Testing for market efficiency Behavioural approach to the closed end fund discount Liquidity-based approach to the closed end fund discount Managerial ability explanation of the closed end fund discount WEEK 3: CAPM and Beyond CAPM Background discussion: Testing the CAPM model Factors beyond the market factor The Fama French three factor model and the size and value factors The Carhart four factor model and the Momentum factor WEEK 4: Portfolio Performance Evaluation Background discussion: Behavioural finance Trading on the Size and Value Premia: The case of Dimensional Fund Advisors - HBS Case (2002) Measuring Mutual Fund Performance, Harvard Business School case Measuring returns o Time weighted returns

o Money weighted returns Adjusting returns for risk o Sharpe ratio o M-squared o Treynor ratio o Jensen's Alpha o Dollar weighted returns Style Analysis Performance measurement with changing portfolio composition o Market timing measures o Market timing measures that condition on public information Controlling for size and value in performance measurement Controlling for size, value and momentum in performance measurement WEEK 5: MID TERM TEST WEEK 6: Mutual funds Background discussion: Introduction to the mutual fund industry How do mutual funds perform? WEEK 7: Hedge funds What are hedge funds? o Where do they fit in? o How do they differ from mutual funds? Industry Development Hedge funds strategies Why do hedge funds earn so much money? Fees and incentives Hedge fund indices and fund of funds Aronson, Johnson and Ortiz, INSEAD 2005 case WEEK 8: Exchange traded funds (ETFs) ETFS vs mutual funds Advantages and disadvantages Types of ETFS o Index-based ETFs o Sector based ETFs o Country ETFs o Commodity ETFs WEEK 9: Portfolio construction Background discussion: mean-variance analysis Limitations of mean-variance analysis The Black-Litterman model Equally weighted portfolios

WHAT WILL I BE EXPECTED TO ACHIEVE? On successful completion of this module you will be able to:- Knowledge and understanding: Understand key asset pricing anomalies that are inconsistent with market efficiency and the CAPM. Skills: Understand the role of size and value factors in determining security returns and the Fama French 3 factor model (market, size and value factors). Understand the role of momentum in determining security returns and the Carhart four factor model (market, size, value and momentum factors). Understand key features of the different parts of the money management industry in particular understand their structure, their performance, their fees and the advantages and disadvantages to investors of investing in these different sectors. Calculate various measures of risk-adjusted performance including Sharpe ratio, M-squared, Treynor ratio, Jensen's 1 factor alpha, Fama-French 3 factor alpha and Carhart 4 factor alpha. Calculate different ways to measure fund manager timing ability. Construct mean-variance efficient portfolios and the problems associated with doing so. Values and attitudes: Learn about mutual fund scandals to help in developing an ethical approach to investing. HOW WILL I LEARN? A variety of learning and teaching methods will be used including: lectures, class discussions, case studies, and academic reading. Teaching pattern: Teaching type Contact hours Self-directed study hours Placement hours Total student learning hours Lectures 20 130 0 150 TOTALS: 20 130 0 150

WHAT TYPES OF ASSESSMENT AND FEEDBACK CAN I EXPECT? Assessments You will be assessed in two ways. Halfway through the course you will be set a midterm test which will be part multiple-choice and part short questions. The final exam which will be sat at the end of the academic year will be a longer exam which will have multiple-choice short question and long question elements. 70% of the marks of the course are attributable to the final exam and 30 per cent to the mid-term test. Assessment pattern: Assessment type Short description Weighting Minimum qualifying mark Set exercise Mid term test 30% 40 N/A Written exam Exam 70% 40 N/A Assessment criteria Pass/Fail? Assessment criteria are descriptions of the skills, knowledge or attributes you need to demonstrate in order to complete an assessment successfully and Grade-Related Criteria are descriptions of the skills, knowledge or attributes you need to demonstrate to achieve a certain grade or mark in an assessment. Assessment Criteria and Grade- Related Criteria for module assessments will be made available to you prior to an assessment taking place. More information will be available in the UG Assessment Handbook and from the module leader. Feedback on assessment Following an assessment, students will be given their marks and feedback in line with the Assessment Regulations and Policy. You will receive marks on your mid-term test within three weeks. You will receive a full set of solutions which will explain the correct answers. Assessment Regulations The Pass mark for the module is 40%. Any minimum qualifying marks for specific assessments are listed in the table above. The weighting of the different components can also be found above. The Programme Specification contains information on what happens if you fail an assessment component or the module. INDICATIVE READING LIST TEXT BOOK: Bodie, Kane, and Marcus, Investments, McGraw-Hill Higher Education; 9 edition (1 Mar 2011).

ARTICLES: Dimson, Marsh, Staunton: Risk and Return in the 20 th & 21 st centuries. -Dimson and Minio-Kozerski: Closed-End Funds: A Survey. -Cherkes, Sagi and Stanton: A Liquidity-Based Theory of Closed-End Funds. -Berk and Stanton: Managerial Ability, Compensation, and the Closed-End Fund Discount. Fama and French: The cross section of expected stock returns. Measuring Mutual Fund Performance, Harvard Business School case. Dichev: What Are Stock Investors Actual Historical Returns? Evidence from Dollar- Weighted Returns. Friesen and Sapp "Mutual fund flows and investor returns: An empirical examination of fund investor timing ability". W. Ferson and V. Warther, Evaluating fund performance in a dynamic market, Financial Analysts Journal, Nov-Dec 1996, 20-28. Fama and French, Mutual Fund Performance. Berk and Green-Mutual Fund Flows and Performance in Rational Markets. Berk - Five Myths of Active Portfolio Management. Bodie, Kane, and Marcus Chapter: 26. Stulz, Hedge Funds: Past, Present and Future, Journal of Economic Perspectives. Bodie, Kane, and Marcus Chapter: 4. DeMiguel,Garlappi, Uppal-Optimal Versus Naive Diversification: How Inefficient is the 1/N Portfolio Strategy? Version: 2.0 Version date: July 2013 For use from: 2013-14

Appendix: see http://www.hesa.ac.uk/content/view/1805/296/ for the full list of JACS codes and descriptions CODES HESA Code Description Price Group 27 Business & Management JACS Code Description Price Group L111 Financial Economics