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Investing in the “New Economy”: Mutual Fund Performance and the Nature of the Firm

Published online by Cambridge University Press:  04 April 2014

Swasti Gupta-Mukherjee
Swasti Gupta-Mukherjee*
Affiliation:
sguptamukherjee@luc.edu, Quinlan School of Business, Loyola University Chicago, 1 E Pearson St, Chicago, IL 60611.
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Abstract

Although stock returns of intangibles-intensive firms tend to exceed physical assets-intensive firms, risk-adjusted returns of actively managed mutual funds significantly decrease (increase) with their portfolios’ exposure to intangibles-intensive (physical assets-intensive) firms. Fund managers tend to exhibit skill when they focus on difficult-to-value (e.g., small) firms, except when the firms are intangibles-intensive. In sum, the worst-performing funds are in areas of the market that seem to offer ample opportunities for professional investors due to exacerbated mispricing. The negative impact of investments in intangibles-intensive firms on fund performance appears to be driven by extrapolation bias and decreases with learning from experience.

Type
Research Articles
Information
Journal of Financial and Quantitative Analysis , Volume 49 , Issue 1 , February 2014 , pp. 165 - 191
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2014 

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References

Aboody, D., and Lev, B.. “Information Asymmetry, R&D, and Insider Gains.” Journal of Finance, 55 (2000), 2747–2766.Google Scholar
Bali, T. G.; Cakici, N.; and Whitelaw, R. F.. “Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns.” Journal of Financial Economics, 99 (2011), 427–446.Google Scholar
Barberis, N., and Huang, M.. “Stocks as Lotteries: The Implications of Probability Weighting for Security Prices.” American Economic Review, 98 (2008), 2066–2100.CrossRefGoogle Scholar
Barth, M.; Kasznik, R.; and McNichols, M.. “Analyst Coverage and Intangible Assets.” Journalof Accounting Research, 39 (2001), 1–34.CrossRefGoogle Scholar
Berk, J. B., and Green, R. C.. “Mutual Fund Flows and Performance in Rational Markets.” Journal of Political Economy, 112 (2004), 1269–1295.Google Scholar
Berk, J. B.; Green, R. C.; and Naik, V.. “Valuation and Return Dynamics of New Ventures.” Review of Financial Studies, 17 (2004), 1–35.CrossRefGoogle Scholar
Bollen, N., and Busse, J.. “Short-Term Persistence in Mutual Fund Performance.” Review of Financial Studies, 18 (2004), 569–597.Google Scholar
Brown, J. R.; Fazzari, S. M.; and Petersen, B. C.. “Financing Innovation and Growth: Cash Flow, External Equity, and the 1990s R&D Boom.” Journal of Finance, 64 (2009), 151–185.Google Scholar
Brown, S. J., and Goetzmann, W. N.. “Performance Persistence.” Journal of Finance, 50 (1995),679–698.Google Scholar
Carhart, M. “On Persistence in Mutual Fund Performance.” Journal of Finance, 52 (1997), 57–82.CrossRefGoogle Scholar
Chambers, D. J.; Jennings, R.; and Thompson, R. B.. “Excess Returns to R&D-Intensive Firms.” Review of Accounting Studies, 7 (2002), 133–158.Google Scholar
Chan, L. K. C.; Lakonishok, J.; and Sougiannis, T.. “The Stock Market Valuation of Research and Development Expenditures.” Journal of Finance, 56 (2001), 2431–2457.CrossRefGoogle Scholar
Cohen, L.; Diether, K.; and Malloy, C.. “Misvaluing Innovation.” Review of Financial Studies, 26 (2013), 635–666.Google Scholar
Cohen, R.; Coval, J. D.; and Pástor, L.. “Judging Fund Managers by the Company They Keep.” Journal of Finance, 60 (2005), 1057–1096.Google Scholar
Core, J. E.; Guay, W. R.; and van Buskirk, A.. “Market Valuations in the New Economy: An Investigation of What Has Changed.” Journal of Accounting and Economics, 34 (2003), 43–67.Google Scholar
Cremers, M., and Petajisto, A.. “How Active Is Your Fund Manager? A New Measure that Predicts Performance.” Review of Financial Studies, 22 (2009), 3329–3365.Google Scholar
Daniel, K.; Grinblatt, M.; Titman, S.; and Wermers, R.. “Measuring Mutual Fund Performance with Characteristic-Based Benchmarks.” Journal of Finance, 52 (1997), 1035–1058.Google Scholar
Daniel, K.; Hirshleifer, D.; and Subrahmanyam, A.. “Investor Psychology and Security Market Under- and Overreactions.” Journal of Finance, 53 (1998), 1839–1886.CrossRefGoogle Scholar
Daniel, K.; Hirshleifer, D.; and Subrahmanyam, A.. “Overconfidence, Arbitrage, and Equilibrium Asset Pricing.” Journal of Finance, 56 (2001), 921–965.CrossRefGoogle Scholar
Daniel, K., and Titman, S.. “Market’s Reactions to Tangible and Intangible Information.” Journal of Finance, 61 (2006), 1605–1643.Google Scholar
Eberhart, A.; Maxwell, W. F.; and Siddique, A. R.. “An Examination of Long-Term Abnormal Stock Returns and Operating Performance Following R&D Increases.” Journal of Finance, 59 (2004), 623–651.Google Scholar
Edmans, A. “Does the Stock Market Fully Value Intangibles? Employee Satisfaction and Equity Prices.” Journal of Financial Economics, 101 (2011), 621–640.Google Scholar
Einhorn, H. J. “Overconfidence in Judgment.” New Directions for Methodology of Social and Behavioral Science, 4 (1980), 1–16.Google Scholar
Fama, E. F., and French, K. R.. “Common Risk Factors in the Return on Bonds and Stocks.” Journal of Financial Economics, 33 (1993), 3–53.Google Scholar
Fama, E. F., and French, K. R.. “Luck versus Skill in the Cross-Section of Mutual Fund Returns.” Journal of Finance, 65 (2010), 1915–1947.Google Scholar
Fama, E. F., and MacBeth, J. D.. “Risk, Return, and Equilibrium: Empirical Tests.” Journal of Political Economy, 81 (1973), 607–636.Google Scholar
Frazzini, A. “The Disposition Effect and Under-Reaction to News.” Journal of Finance, 61 (2006), 2017–2046.CrossRefGoogle Scholar
Gil-Bazo, J., and Ruiz-Verdu, P.. “The Relation Between Price and Performance in the Mutual Fund Industry.” Journal of Finance, 64 (2009), 2153–2183.Google Scholar
Greenwood, R., and Nagel, S.. “Inexperienced Investors and Bubbles.” Journal of FinancialEconomics, 93 (2009), 239–258.Google Scholar
Griffin, D., and Tversky, A.. “The Weighting of Evidence and the Determinants of Overconfidence.” Cognitive Psychology, 24 (1992), 411–435.Google Scholar
Grinblatt, M., and Titman, S.. “The Persistence of Mutual Fund Performance.” Journal of Finance, 47 (1992), 1977–1984.Google Scholar
Gruber, M. J. “Another Puzzle: The Growth in Actively Managed Mutual Funds.” Journal of Finance, 51 (1996), 783–810.Google Scholar
Hall, B.; Jaffe, A.; and Trajtenberg, M.. “Market Value and Patent Citations.” RAND Journal of Economics, 36 (2005), 16–38.Google Scholar
Haruvy, E.; Lahav, Y.; and Noussair, C.. “Traders’ Expectations in Asset Markets: Experimental Evidence.” American Economic Review, 97 (2007), 1901–1920.CrossRefGoogle Scholar
Hirshleifer, D.; Hsu, P.; and Li, D.. “Innovative Efficiency and Stock Returns.” Journal of Financial Economics, 107 (2013), 632–654.Google Scholar
Hirshleifer, D., and Jiang, D.. “A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns.” Review of Financial Studies, 23 (2010), 3401–3436.Google Scholar
Hong, H.; Lim, T.; and Stein, J. C.. “Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies.” Journal of Finance, 55 (2000), 265–295.Google Scholar
Hong, H., and Stein, J. C.. “A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets.” Journal of Finance, 54 (1999), 2143–2184.CrossRefGoogle Scholar
Hong, H.; Stein, J. C.; and Yu, J.. “Simple Forecasts and Paradigm Shifts.” Journal of Finance, 62 (2007), 1207–1242.Google Scholar
Jensen, M. C. “The Performance of Mutual Funds in the Period 1945–1964.” Journal of Finance, 23 (1968), 389–416.Google Scholar
Jensen, M. C. “The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems.” Journal of Finance, 48 (1993), 831–880.CrossRefGoogle Scholar
Jiang, H. “Institutional Investors, Intangible Information, and the Book-to-Market Effect.” Journal of Financial Economics, 96 (2010), 98–126.CrossRefGoogle Scholar
Kacperczyk, M., and Seru, A.. “Fund Manager Use of Public Information: New Evidence on Managerial Skills.” Journal of Finance, 62 (2007), 485–528.Google Scholar
Kacperczyk, M.; Sialm, C.; and Zheng, L.. “On the Industry Concentration of Actively Managed Equity Mutual Funds.” Journal of Finance, 60 (2005), 1983–2011.CrossRefGoogle Scholar
Kacperczyk, M.; Sialm, C.; and Zheng, L.. “Unobserved Actions of Equity Mutual Funds.” Review of Financial Studies, 21 (2008), 2379–2416.Google Scholar
Kosowski, R.; Timmermann, A.; Wermers, R.; and White, H.. “Can Mutual Fund ‘Stars’ Really Pick Stocks? New Evidence from a Bootstrap Analysis.” Journal of Finance, 61 (2006), 2551–2595.Google Scholar
Kumar, A. “Hard-to-Value Stocks, Behavioral Biases, and Informed Trading.” Journal of Financial and Quantitative Analysis, 44 (2009), 1375–1401.Google Scholar
Lakonishok, J.; Shleifer, A.; and Vishny, R.. “Contrarian Investment, Extrapolation, and Risk.” Journal of Finance, 49 (1994), 1541–1578.Google Scholar
Newey, W. K., and West, K. D.. “A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Matrix Estimation.” Econometrica, 55 (1987), 703–708.Google Scholar
Pastor, L., and Stambaugh, R. L.. “Liquidity Risk and Expected Stock Returns.” Journal of Political Economy, 111 (2003), 642–685.Google Scholar
Rabin, M. “Inference by Believers in the Law of Small Numbers.” Quarterly Journal of Economics, 117 (2002), 775–816.Google Scholar
Rajan, R. G., and Wulf, J.. “The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies.” Review of Economics and Statistics, 88 (2006), 759–773.Google Scholar
Rajan, R. G., and Zingales, L.. “The Governance of the New Corporation.” In Corporate Governance: Theoretical and Empirical Perspectives, Vives, X., ed. Cambridge, UK: Cambridge University Press (2000), 201–226.CrossRefGoogle Scholar
Scherer, F., and Harhoff, D.. “Policy Implications for a World with Skew-Distributed Returns to Innovation.” Research Policy, 29 (2000), 559–566.Google Scholar
Schultz, P. H. “Rational Cross-Sectional Differences in Market Efficiency: Evidence from Mutual Funds.” Journal of Financial and Quantitative Analysis, 45 (2010), 847–881.Google Scholar
Seru, A.; Shumway, T.; and Stoffman, N.. “Learning by Trading.” Review of Financial Studies, 23 (2010), 705–739.CrossRefGoogle Scholar
Silverberg, G., and Verspagen, B.. “The Size Distribution of Innovations Revisited: An Application of Extreme Value Statistics to Citation and Value Measures of Patent Significance.” Journal of Econometrics, 139 (2007), 318–339.Google Scholar
Wermers, R. “Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transaction Costs, and Expenses.” Journal of Finance, 55 (2000), 1655–1703.Google Scholar
Zhang, X. F. “Information Uncertainty and Stock Returns.” Journal of Finance, 61 (2006), 105–137.Google Scholar
Zingales, L. “In Search of New Foundations.” Journal of Finance, 55 (2000), 1623–1653.Google Scholar
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