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Risk factors, uncertainty, and investment decision: evidence from mutual fund flows from India

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  • Elizabeth Nedumparambil

    (T A Pai Management Institute, Manipal Academy of Higher Education)

  • Anup Kumar Bhandari

    (Indian Institute of Technology Madras)

Abstract

Asset pricing theories provide an understanding of the risk factors that determine the price of assets. The identification of risk factors assists investors in seeking out profitable investment opportunities. The difficulty in observing how investors identify such opportunities and how they react to it has largely restricted the literature from determining the factors that matter to an investor. There is a paucity of empirical studies that give insight into the investment decision-making process of an investor. Some of the recent studies that seek to fill this gap have used mutual fund flows to infer which asset pricing model investors use. The fund flows are used as a measure of investors’ response for the identification of a positive net present value investment opportunity. These studies suggest that the Capital Asset Pricing Model (CAPM) is closest to the asset pricing model used by investors in the US market. Taking this literature forward, we enquire whether investors from Indian markets exhibit a similar pattern when making investment decisions. Using the fund flows to actively managed equity schemes, we have investigated the risk factors that matter for mutual fund investors in India for the period from April 2006 to December 2019. We use alternative performance measure and then evaluate the sensitivity of fund flows to each of the performance measures. Our results suggest that investors assess the performance of competing investment opportunities based on naïve measures. Further, though uncertainty has a negative impact on fund flow, the flow–performance relation is not sensitive to the level of uncertainty.

Suggested Citation

  • Elizabeth Nedumparambil & Anup Kumar Bhandari, 2022. "Risk factors, uncertainty, and investment decision: evidence from mutual fund flows from India," Indian Economic Review, Springer, vol. 57(2), pages 349-372, December.
  • Handle: RePEc:spr:inecre:v:57:y:2022:i:2:d:10.1007_s41775-022-00155-8
    DOI: 10.1007/s41775-022-00155-8
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    as
    1. Rodrik, Dani, 1991. "Policy uncertainty and private investment in developing countries," Journal of Development Economics, Elsevier, vol. 36(2), pages 229-242, October.
    2. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    3. Brad M. Barber & Xing Huang & Terrance Odean, 2016. "Which Factors Matter to Investors? Evidence from Mutual Fund Flows," Review of Financial Studies, Society for Financial Studies, vol. 29(10), pages 2600-2642.
    4. Lu Zheng, 1999. "Is Money Smart? A Study of Mutual Fund Investors' Fund Selection Ability," Journal of Finance, American Finance Association, vol. 54(3), pages 901-933, June.
    5. H. Henry Cao & Tan Wang & Harold H. Zhang, 2005. "Model Uncertainty, Limited Market Participation, and Asset Prices," Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1219-1251.
    6. Jesse Blocher & Marat Molyboga, 2017. "The Revealed Preference of Sophisticated Investors," European Financial Management, European Financial Management Association, vol. 23(5), pages 839-872, October.
    7. Wang, Yizhong & Chen, Carl R. & Huang, Ying Sophie, 2014. "Economic policy uncertainty and corporate investment: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 227-243.
    8. Ben-Rephael, Azi, 2017. "Flight-to-liquidity, market uncertainty, and the actions of mutual fund investors," Journal of Financial Intermediation, Elsevier, vol. 31(C), pages 30-44.
    9. Itzhak Ben-David & Jiacui Li & Andrea Rossi & Yang Song, 2022. "What Do Mutual Fund Investors Really Care About?," Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 1723-1774.
    10. Antoniou, Constantinos & Harris, Richard D.F. & Zhang, Ruogu, 2015. "Ambiguity aversion and stock market participation: An empirical analysis," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 57-70.
    11. Hillenbrand, Adrian & Schmelzer, André, 2017. "Beyond information: Disclosure, distracted attention, and investor behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 16(C), pages 14-21.
    12. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    13. Peter Bossaerts & Paolo Ghirardato & Serena Guarnaschelli & William R. Zame, 2010. "Ambiguity in Asset Markets: Theory and Experiment," Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1325-1359, April.
    14. De Santis, Giorgio & imrohoroglu, Selahattin, 1997. "Stock returns and volatility in emerging financial markets," Journal of International Money and Finance, Elsevier, vol. 16(4), pages 561-579, August.
    15. C. Wei Li & Ashish Tiwari & Lin Tong, 2017. "Investment Decisions Under Ambiguity: Evidence from Mutual Fund Investor Behavior," Management Science, INFORMS, vol. 63(8), pages 2509-2528, August.
    16. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    17. Berk, Jonathan B. & van Binsbergen, Jules H., 2016. "Assessing asset pricing models using revealed preference," Journal of Financial Economics, Elsevier, vol. 119(1), pages 1-23.
    18. Agarwal, Vikas & Green, T. Clifton & Ren, Honglin, 2018. "Alpha or beta in the eye of the beholder: What drives hedge fund flows?," Journal of Financial Economics, Elsevier, vol. 127(3), pages 417-434.
    19. Gharghori, Philip & Mudumba, Shifali & Veeraraghavan, Madhu, 2007. "How smart is money? An investigation into investor behaviour in the Australian managed fund industry," Pacific-Basin Finance Journal, Elsevier, vol. 15(5), pages 494-513, November.
    20. John Lintner, 1965. "Security Prices, Risk, And Maximal Gains From Diversification," Journal of Finance, American Finance Association, vol. 20(4), pages 587-615, December.
    21. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    22. Michael J. Cooper & Huseyin Gulen & P. Raghavendra Rau, 2005. "Changing Names with Style: Mutual Fund Name Changes and Their Effects on Fund Flows," Journal of Finance, American Finance Association, vol. 60(6), pages 2825-2858, December.
    23. Li, Xiao-Ming, 2017. "New evidence on economic policy uncertainty and equity premium," Pacific-Basin Finance Journal, Elsevier, vol. 46(PA), pages 41-56.
    24. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    25. Ftiti, Zied & Hadhri, Sinda, 2019. "Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? A multi-scale perspective," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 40-55.
    26. Chalmers, John & Kaul, Aditya & Phillips, Blake, 2013. "The wisdom of crowds: Mutual fund investors’ aggregate asset allocation decisions," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3318-3333.
    27. Chung, Kee H. & Chuwonganant, Chairat, 2014. "Uncertainty, market structure, and liquidity," Journal of Financial Economics, Elsevier, vol. 113(3), pages 476-499.
    28. Jiang, George J. & Yuksel, H. Zafer, 2017. "What drives the “Smart-Money” effect? Evidence from investors’ money flow to mutual fund classes," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 39-58.
    29. Teodor Dyakov & Marno Verbeek, 2019. "Can Mutual Fund Investors Distinguish Good from Bad Managers?," International Review of Finance, International Review of Finance Ltd., vol. 19(3), pages 505-540, September.
    30. Brad M. Barber & Terrance Odean & Lu Zheng, 2005. "Out of Sight, Out of Mind: The Effects of Expenses on Mutual Fund Flows," The Journal of Business, University of Chicago Press, vol. 78(6), pages 2095-2120, November.
    31. Zhang, Dayong & Lei, Lei & Ji, Qiang & Kutan, Ali M., 2019. "Economic policy uncertainty in the US and China and their impact on the global markets," Economic Modelling, Elsevier, vol. 79(C), pages 47-56.
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    More about this item

    Keywords

    Mutual fund; Fund flows; Investor preference; Flow–performance relation; Uncertainty;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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