MUTUAL FUND RATINGS: DO THEY REALLY MATTER? Philip S. Russel Philadelphia University, USA 2006 PBFEA Conference, Taipei, Taiwan Research Funded by: Lindback.

Slides:



Advertisements
Similar presentations
Lecture 5: Portfolio Diversification and Supporting Financial Institutions.
Advertisements

7 - 0 Second Investment Course – November 2005 Topic Seven: Investment “Tournaments” & Manager Compensation.
Sandy Lai SMU 1 Real Effects of Stock Underpricing Harald Hau University of Geneva and SFI
Performance Evaluation and Active Portfolio Management
STOCK RETURNS AND THE BUSINESS CYCLE Michael DeStefano.
Performance Evaluation and Active Portfolio Management
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. Portfolio Performance Evaluation 18 Bodie, Kane, and Marcus.
Sandy Lai SMU 1 Real Effects of Stock Underpricing Harald Hau University of Geneva and SFI
1 Fin 2802, Spring 10 - Tang Chapter 24: Performance Evaluation Fin2802: Investments Spring, 2010 Dragon Tang Lectures 21&22 Performance Evaluation April.
CHAPTER TWENTY-FOUR PORTFOLIO PERFORMANCE EVALUATION.
1 Chapter 15 – Mutual Funds Pool money from investors with similar objectives and purchase a diversified portfolio run by a professional manager –Shares.
SECURITY-MARKET INDEXES
1 © Copyrright Doug Hillman 2000 Analysis and Interpretation of Financial Statements.
J. K. Dietrich - GSBA 548 – MBA.PM Spring 2007 Risk and Investment Decisions April 23, 2007 (LA), or April 12, 2007 (OCC)
An Introduction to Mutual Funds
Risk Premium Puzzle in Real Estate: Are real estate investors overly risk averse? James D. Shilling DePaul University Tien Foo Sing National University.
Lecture Presentation Software to accompany Investment Analysis and Portfolio Management Seventh Edition by Frank K. Reilly & Keith C. Brown Chapter 25.
SECURITY-MARKET INDICATOR SERIES
1 FIN Index Funds Index Funds: Unmanaged funds seek to replicate the performance of a designated index (e.g. S&P 500, Russell 2000, Wilshire 5000)
Getting started using Ibbotson Attribution software: An unofficial tutorial MGT 544 Stanley Martinez, TA
Vicentiu Covrig 1 Mutual funds Mutual funds. Vicentiu Covrig 2 Diversification Professional management Low capital requirement Reduced transaction costs.
Evaluation of portfolio performance
Investments Vicentiu Covrig 1 Mutual Funds ( chapter 4)
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. C HAPTER P LAYLIST S ONGS : “MONEY” BY PINK FLOYD“MONEY” BY.
Copyright ©2004 Pearson Education, Inc. All rights reserved. Chapter 17 Investing in Mutual Funds.
An Introduction to Money and the Financial System
A Perspective on Markets There is no guarantee that any forecasts or opinions in this material will be realized. Information should not be construed as.
and a Risk Tolerance Test
Version 1.2 Copyright © 2000 by Harcourt, Inc. All rights reserved. Requests for permission to make copies of any part of the work should be mailed to:
Irwin/McGraw-Hill 1 Mutual Funds Chapter 4 Financial Institutions Management, 3/e By Anthony Saunders.
Chapter 12 Global Performance Evaluation Introduction In this chapter we look at: –The principles and objectives of global performance evaluation.
On the Performance of KiwiSaver Funds Bart Frijns & Alireza Tourani-Rad Auckland University of Technology and Auckland Centre for Financial Research.
Price patterns, charts and technical analysis: The momentum studies Aswath Damodaran.
Portfolio Performance Evaluation
Reducing Social Security PRA Risk at the Individual Level — Lifecycle Funds and No-Loss Strategies Pathways to a Secure Retirement Conference, August 2006,
Key Concepts and Skills
Chapter 20 Mutual Funds and Asset Allocation Lawrence J. Gitman Jeff Madura Introduction to Finance.
1 st Quarter Investment Review This presentation must be preceded or accompanied by prospectuses.
OUTPERFORMING STOCK INDICES USING PROXIES FOR RISK AND RETURNS Vashishta Bhaskar Duquesne University Presented at QWAFAFEW September 9, 2014.
McGraw-Hill/Irwin © 2008 The McGraw-Hill Companies, Inc., All Rights Reserved. Performance Evaluation and Active Portfolio Management CHAPTER 18.
Lecture 18 Mutual Funds. Net Asset Value NAV = net asset value MVA = market value of assets L = funds liabilities NSO = number of shares outstanding.
1 Mutual Fund Performance and Manager Style. J.L. Davis, FAJ, Jan/Feb 01, Various studies examined the evidence of persistence in mutual fund performance.
Ephraim CLARK, CONSTRUCTING AND TESTING THE “WORLD MARKET PORTFOLIO” FOR DOLLAR BASED INVESTORS Ephraim.
Money Manager Due Diligence Scott Thoma, CFA. The Challenge  > 7,000 Separately Managed Account Options  > 7,000 Distinct Mutual Funds (> 25,000 when.
Empirical Issues Portfolio Performance Evaluation.
More on investor performance: Continuity & Consistency Aswath Damodaran.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin 24-1 Portfolio Performance Evaluation.
© K. Cuthbertson and D. Nitzsche Chapter 29 Performance of Mutual Funds Investments.
Jiang Luo, Nanyang Technological University Zheng Qiao, Nanyang Technological University Discussed by J. Jimmy Yang, Oregon State University 2012 NTU International.
Group Project In order to complete the Group Project you will need to spend approximately hours completing research on top mutual funds. The research.
McGraw-Hill/Irwin © 2007 The McGraw-Hill Companies, Inc., All Rights Reserved. Performance Evaluation and Active Portfolio Management CHAPTER 17.
Chapter 18 Portfolio Performance Evaluation. Types of management revisited Passive management 1.Capital allocation between cash and the risky portfolio.
McGraw-Hill/Irwin Copyright © 2013 by The McGraw-Hill Companies, Inc. All rights reserved. C HAPTER P LAYLIST S ONGS : “MONEY” BY PINK FLOYD“MONEY” BY.
Mutual Funds and Other Investment Companies
CHAPTER 9 Investment Management: Concepts and Strategies Chapter 9: Investment Concepts 1.
ERES 2009 Conference Stockholm, June 24th Andreas Gohs: An evaluation of the quality of unsmoothing procedures to estimate true market returns from appraisal-based.
The Case For Passive Investing: Active investor track records Aswath Damodaran.
Investing In Your Future © Thomson/South-Western ChapterChapter MUTUAL INTERESTS MUTUAL FUNDS 6.2 INVESTIGATE MUTUAL FUNDS 6.3 CHOOSE MUTUAL FUNDS.
Stock Terminology (continued) Investors make money in stocks in two ways: –Dividends Companies may make payment to shareholders as part of the profits.
Bonds, Stocks and Mutual Funds Leslie Lum. DRAFT 3/6/20072 Finding money to invest.
1 Mutual Fund Performance and Manager Style. J.L. Davis, FAJ, Jan/Feb 01 Various studies examined the evidence of persistence in mutual fund performance.
Investments, 8 th edition Bodie, Kane and Marcus Slides by Susan Hine McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights.
INVESTMENTS | BODIE, KANE, MARCUS Copyright © 2014 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written.
EQUITY-PORTFOLIO MANAGEMENT
4 Mutual Funds and Other Investment Companies Bodie, Kane, and Marcus
Analysis and Interpretation of Financial Statements
SECURITY MARKET INDICATORS
Predictive Power of Morningstar Click and Visit Data on Fund Flow
MUTUAL INTERESTS MUTUAL FUNDS 3.2 INVESTIGATE MUTUAL FUNDS
Relative valuation: Data ANALYSIS
Presentation transcript:

MUTUAL FUND RATINGS: DO THEY REALLY MATTER? Philip S. Russel Philadelphia University, USA 2006 PBFEA Conference, Taipei, Taiwan Research Funded by: Lindback Foundation

Agenda 1. Introduction 2. Motivation 3. Research Questions 4. Morning Star Rating Methodology 5. Data 6. Discussion of Results 7. Conclusion

Introduction Mutual Fund Industry Exponential growth from a mere $50 b5llion in 1974 to nearly $9,000 billion in In USA, the number of mutual funds exceed the number of stocks listed on organized exchange, making the selection of mutual funds an onerous task for average investor.

Role of Rating Agencies How can investors screen thousands of funds? One option is to rely on some kind of rating services Ratings provide a composite measure of mutual fund performance Currently being provided by Lipper, Value Line and Morningstar. Morning star is the most prominent.

2. Motivation

Ratings and Fund Flow While Morningstar does not claim to forecast performance, anecdotal and empirical evidence suggests that investors are increasingly relying on mutual fund ratings to make their investment decisions. 97 percent of the money invested in no-load equity funds flowed into funds with four or five star rating (Wall Street Journal, 1996) 5 Star funds claim 50.5% of all assets of domestic equity funds (Keenan, 2002) Based on 3,500 funds and 12,000 rating changes, Guercio and Tkac (2002) report causal relationship between rating and fund flow.

Thus predictive ability of morning star rating system is an important question as ratings have become extremely popular and seem to significantly influence the allocation of investment dollars.

3. Research Questions

Research Questions 1. Performance: Does picking 5-star funds lead to superior performance? 2. Persistence: How persistent are the ratings? Does the degree of reliability vary among the groups? That is, is a 5-star rating more reliable than a 3-star rating in forecasting future performance? 3. Star Attributes: Are there any distinctive differences among funds, based on their rating category? 4. Age Bias: Is there an age bias in rating?

4. Morning Star Rating Methodology

Morning Star Rating Methodology Mutual funds are classified into 48 investment groups. Until 2002, there were only 4 groups - domestic equity, international equity, taxable bond, and municipal bond Ratings recognizes the performance within each group based on historical risk and return measures. Based on monthly data, ratings assigned for 3,5,10 years and also “overall rating” based on weighted average of 3,5,10 year ratings. The Stars RankStars Top 10%5 Next 22.5%4 Middle 35%3 Next 22.5%2 Bottom 10%1

Biases in Rating Load versus No-load Rating biased in favor of no-load funds Morey (2002) reports that out of 164 funds receiving 5-stars, 75% were no-load funds Age of Fund Rating favors new funds due to surviorship effect (Blume, 1998) Rating favors seasoned funds due to weighting system (Morey, 2002) Seasoned funds regress towards the mean due to interaction between age of fund and fund size (Adkisson and Fraser, 2003)

5. Data

Data Source: Morningstar Principia Morning star changed the rating methodology in July 2002 Current study based on quarterly data for 2003 for growth funds. QuarterNumber of Funds I1811 II1915 III1996 IV2074

6. Discussion of Results

6.1 What are the attributes of Winning Funds? Reference: Table 4 5-star groups are clearly “winning funds” Star5-year Ret% 15 year Ret% Beta 1-Star-4.85% Star All funds

Attributes of Star Categories Attribute1-Star5-Star Alpha Turnover Tenure Expense Ratio Asset Size

6.2 Is There an Age Bias in Rating? We first divide the sample for each quarter into three groups: Large Cap, Medium Cap and Small Cap We further divide the sample based on their age, in years: Seasoned funds (age ≥ 10 years), Middle-aged funds (5 ≤ age age ≥ 3) We then test for differences in overall rating between Seasoned Versus Young funds, Seasoned versus Middle age funds, and Middle age versus Young funds. ==> 9 times 4 = 36 inter-group comparisons

Of the 36 inter-group comparisons, only 7 are statistically significant. Thus Morey’s (2002) contention that seasoned funds systematically receive higher overall rating is not observed.

6.3 Is there a Persistence in Rating? Short-Term Persistence in Rating Ratings for March compared with June/September/December ratings Funds matched by name 1692 identical funds for March Versus June 1522 identical fund for March Versus September 1195 identical fund for March Versus December

Very few funds maintain their rating and persistence deteriorates. The following table shows March Versus December Stars# of funds 3/30 Mean 12/30 mean # same star All (52%)

7. Preliminary Conclusion

Preliminary Conclusion Does Morning Star Rating Really Matter? No. Investors are interested in future performance and results show that very few funds maintain their “star rating”. Thus ratings should not matter! The continued aggressive promotion of ratings in advertisements may indeed foster a “false” sense of confidence among naïve investors (who seem to ignore Morningstar disclaimer that stars do not reflect future performance) Buyer Beware!

In progress: Expansion of results to bigger database (2003, 2004, and 2005). Refining the measurements of risk and return to assess performance. Application of decision making/forecasting models.