Investor Sentiment Timing Ability of Mutual Fund Managers: A Comparative Study and Some Extensions
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Purpose: This study aims to explore an ability to time market-wide investor sentiment of mutual fund managers in an emerging market. Research design, data, and methodology: Based on data of Thai mutual fund market over the period of 2000-2019, our sample includes 283 equity funds, consisting of 204 bank-related funds and 79 nonbank-related funds. We perform our regression analyses at the aggregate and portfolio levels. Results: Under the non-normal distribution of return, we find different behaviors between the best- and worst-performing funds in an ability to time market-wide investor sentiment in Thailand, which is dissimilar to the findings in the U.S. Bottom fund managers act as sentiment hedgers, who decrease (increase) an exposure of investment portfolios when the investor sentiment is high (low). Oppositely, top fund managers are likely to chase investor sentiment. Conclusion: We find that only the worst-performing fund managers, especially for bank-related funds are able to time the market-wide investor sentiment. An advantage of gaining information from their bank’s clients is a key success. A competition in the mutual fund industry, an ability to predict fundamentals, and financial literacy are possible reasons to explain the main findings found in this study.
Abstract
Purpose: This study aims to explore an ability to time market-wide investor sentiment of mutual fund managers in an emerging market. Research design, data, and methodology: Based on data of Thai mutual fund market over the period of 2000-2019, our sample includes 283 equity funds, consisting of 204 bank-related funds and 79 nonbank-related funds. We perform our regression analyses at the aggregate and portfolio levels. Results: Under the non-normal distribution of return, we find different behaviors between the best- and worst-performing funds in an ability to time market-wide investor sentiment in Thailand, which is dissimilar to the findings in the U.S. Bottom fund managers act as sentiment hedgers, who decrease (increase) an exposure of investment portfolios when the investor sentiment is high (low). Oppositely, top fund managers are likely to chase investor sentiment. Conclusion: We find that only the worst-performing fund managers, especially for bank-related funds are able to time the market-wide investor sentiment. An advantage of gaining information from their bank’s clients is a key success. A competition in the mutual fund industry, an ability to predict fundamentals, and financial literacy are possible reasons to explain the main findings found in this study.
참고문헌 (40)
- Asness, C. S., "Value and momentum everywhere", The Journal of Finance, 68(3), pp.929~985 (2013)
- Baker, M., "Investor sentiment and the cross-section of stock returns", The Journal of Finance, 61(4), pp.1645~1680 (2006)
- Baker, M., "Investor sentiment in the stock market", Journal of Economic Perspectives, 21(2), pp.129~152 (2007)
- Baker, M., "Global, local, and contagious investor sentiment", Journal of Financial Economics, 104(2), pp.272~287 (2012)
- Bekaert, G., "Emerging equity market volatility", Journal of Financial Economics, 43(1), pp.29~77 (1997)[DOI]
- Berzins, J., "Asset management and investment banking", Journal of Financial Economics, 110(1), pp.215~231 (2013)[DOI]
- Bolton, P., "Conflicts of interest, information provision, and competition in the financial services industry", Journal of Financial Economics, 85(2), pp.297~330 (2007)
- Brown, Gregory W., "Investor sentiment and asset valuation", The Journal of Business, 78(2), pp.405~440 (2005)[DOI]
- Buckle, M., "Realised higher moments : theory and practice", The European Journal of Finance, 22(13), pp.1272~1291 (2016)
- Busse, J. A., "Volatility timing in mutual funds : Evidence from daily returns", Review of Financial Studies, 12(5), pp.1009~1041 (1999)
- Cao, C., "Do mutual fund managers time market liquidity?", Journal of Financial Markets, 16(2), pp.279~307 (2013)
- Cheema, M. A., "Momentum returns, market states, and market dynamics: Is China different?", International Review of Economics & Finance, 50, pp.85~97 (2017)[DOI]
- Corredor, P., "Investor sentiment effect in stock markets : Stock characteristics or country-specific factors", International Review of Economics & Finance, 27, pp.572~591 (2013)
- Fama, E. F., "The cross-section of expected stock returns", The Journal of Finance, 47(2), pp.427~465 (1992)
- Ferreira, M. A., "Mutual fund industry competition and concentration: International evidence", SSRN 1343096, ~ (2009)
- Ferson, W. E., "Measuring fund strategy and performance in changing economic conditions", The Journal of Finance, 51(2), pp.425~461 (1996)
- Hameed, A., "Momentum Strategies : Evidence from Pacific Basin Stock Markets", Journal of Financial Research, 25(3), pp.383~397 (2002)[DOI]
- Hao, Q., "The Performance of Investment Bank-Affiliated Mutual Funds: Conflicts of Interest or Informational Advantage?", Journal of Financial and Quantitative Analysis, 47(03), pp.537~565 (2012)[DOI]
- Henriksson, R. D., "Market timing and mutual fund performance: An empirical investigation", Journal of Business, pp.73~96 (1984)
- Jegadeesh, N., "Returns to buying winners and selling losers : Implications for stock market efficiency", The Journal of Finance, 48(1), pp.65~91 (1993)
- Kang, W., "Measuring liquidity in emerging markets", Pacific-Basin Finance Journal, 27, pp.49~71 (2014)
- Klapper, L., "Financial literacy and financial resilience: Evidence from around the world", Financial Management[DOI]
- Massa, M., "Information flows within financial conglomerates : Evidence from the banks–mutual funds relation", Journal of Financial Economics, 89(2), pp.288~306 (2008)[DOI]
- Mehran, H., "The economics of conflicts of interest in financial institutions", Journal of Financial Economics, 85(2), pp.267~296 (2007)
- Pástor, Ľ., "Liquidity risk and expected stock returns", Journal of Political economy, 111(3), pp.642~685 (2003)
- Prommin, P., "The effect of corporate governance on stock liquidity : The case of Thailand", International Review of Economics & Finance, 32, pp.132~142 (2014)
- Sadka, R., "Momentum and post-earnings-announcement drift anomalies : The role of liquidity risk", Journal of Financial Economics, 80(2), pp.309~349 (2006)
- Shanmugasundaram, V., "Investment decision-making–a behavioural approach", International Journal of Business Innovation and Research, 4(6), pp.584~597 (2010)
- Sirri, E. R., "Costly search and mutual fund flows", The Journal of Finance, 53(5), pp.1589~1622 (1998)[DOI]
- Schmeling, M., "Investor sentiment and stock returns : Some international evidence", Journal of Empirical Finance, 16(3), pp.394~408 (2009)[DOI]
- Stambaugh, R. F., "The short of it : Investor sentiment and anomalies", Journal of Financial Economics, 104(2), pp.288~302 (2012)
- Treynor, J., "Can mutual funds outguess the market", Harvard Business Review, 44(4), pp.131~136 (1966)
- Thubdimphun, S, "Developing Investor Sentiment Index for Thailand", ~
- Wattanatorn, W., "Do bank-affiliated funds perform better than the others : the higher moment approach", Asia-Pacific Journal of Accounting & Economics, 29(4), pp.1075~1089 (2022)[DOI]
- Wattanatorn, W., "A new dimension of investment forecasting : evidence from Thailand", International Journal of Business Innovation and Research, 22(3), pp.429~446 (2020)
- Wattanatorn, W., "Coskewness timing ability in the mutual fund industry", Research in International Business and Finance, 53, pp.101224~ (2020)[DOI]
- Wattanatorn, W., "Mutual fund liquidity timing ability in the higher moment framework", Research in International Business and Finance, 51, pp.101105~ (2020)[DOI]
- Wattanatorn, W., "An ability to forecast market liquidity – Evidence from South East Asia Mutual fund industry", The Journal of Finance and Data Science, 5(1), pp.22~32 (2019)[DOI]
- Yu, J., "Investor sentiment and the mean–variance relation", Journal of Financial Economics, 100(2), pp.367~381 (2011)
- Zheng, Y., "Can mutual funds time investor sentiment?", Review of Quantitative Finance and Accounting, pp.1~38 (2019)[DOI]
