Conditional Market Timing in the Mutual Fund Industry

Tchamyou, Vanessa and Asongu, Simplice (2017): Conditional Market Timing in the Mutual Fund Industry. Published in: Research in International Business and Finance , Vol. 42, No. December (December 2017): pp. 1355-1366.

Abstract

This study complements the scarce literature on conditional market timing in the mutual fund industry by assessing determinants of market timing throughout the distribution of market exposure. It builds on the intuition that the degree of responsiveness by fund managers to investigated factors (aggregate liquidity, information asymmetry, volatility and market excess return) is contingent on their levels of market exposure. To this end, we use a panel of 1467 active open-end mutual funds for the period 2004-2013. Fund-specific time-dynamic beta is employed and we avail room for more policy implications by disaggregating the dataset into market fundamentals of: equity, fixed income, allocation and tax preferred. The empirical evidence is based on Quantile regressions. The following findings are established. First, there is consistent positive threshold evidence of volatility and market return in market timing, with the slim exception of allocation funds for which the pattern of volatility is either U- or S-shaped. Second, the effect of volatility and market return are consistently positive and negative respectively in the bottom and top quintiles of market exposure, but for allocation funds. Third, the effects of information asymmetry and aggregate liquidity are positive and negative, contingent on specifications, level of market exposure and market fundamentals. The findings broadly suggest that blanket responses of market exposures to investigated factors are unlikely to represent feasible strategies for fund managers unless they are contingent on initial levels of market exposure and tailored differently across ‘highly exposed’-fund managers and ‘lowly exposed’-fund managers. Implications for investors and fund managers are discussed.

• Item Type: MPRA Paper
• Language: English
• Keywords: Mutual funds; Market timing; Thresholds; Quantile regression
• Subjects: C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection; G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates; G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading; G - Financial Economics > G1 - General Financial Markets > G18 - Government Policy and Regulation

References

Asongu, S. A., (2014). “Financial development dynamic thresholds of financial globalisation: evidence from Africa”, Journal of Economic Studies, 41(2), pp. 166-195.

Asongu, S. A., Nwachukwu, J., & Tchamyou, V. S., (2016). “Information Asymmetry and Financial Development Dynamics in Africa”. Review of Development Finance. 6(2), pp. 126-138.

Asongu, S. A., Anyanwu, J. C., & Tchamyou, V. S., (2017). “Technology-driven information sharing and conditional financial development in Africa”, Information Technology for Development. DOI: 10.1080/02681102.2017.1311833.

Bassett Jr., G.W., & Chen, H-L., (2001). “Portfolio Style: Return-Based Attribution Using Quantile Regression”. Economic Applications of Quantile Regression, pp.293-305.

Becker, C., Ferson, W.E., Myers, D.H. & Schill, M.J., (1999). “Conditional market timing with benchmark investors”. Journal of Empirical Finance, 52(1), pp.119-148.

Bodson, L., Cavenaile, L. & Sougné, D., (2013). “A global approach to mutual funds market timing ability”. Journal of Empirical Finance, 20(January), pp.96–101.

Bollen, N.P.B. & Busse, J.A., (2001). “On the Timing Ability of Mutual Fund Managers”. Journal of Finance, 56(3), pp.1075-1094.

Chang, E., & Lewellen, W., (1984). “Impact of size and flows on performance for funds of hedge funds”. Journal of Business, 57(1), pp.57-72.

Chen, C. R., & Huang, Y., (2011). “Mutual Fund Governance and Performance: A Quantile Regression Analysis of Morningstar's Stewardship Grade”. Corporate Governance: An International Review, 19(4), pp.311-333.

Dai, Y., Kong, D. & Wang, L., (2013). “Information asymmetry, mutual funds and earnings management: Evidence from China”. China Journal of Accounting Research, 6(3), pp.187-209.

Dhar, J., & Mandal, K., (2014). “Market timing abilities of Indian mutual fund managers: an empirical analysis”. Indian Institute of Management, 41(3), pp.299-311.

Dierkens, N., (1991). “Information Asymmetry and Equity Issues”. Journal of Financial and Quantitative Analysis, 26(2), pp.181–199.

Efobi, U., & Asongu, S. A., (2016). “Terrorism and capital flight from Africa”, International Economics, 148 (December), pp. 81-94 (December, 2016).

Elton, E.J., Gruber, M.J. & Blake, C.R., 2011. An examination of mutual fund timing ability using monthly holdings data. Review of Finance, 16(3), pp.619–645.

Ferson, W.E., & Schadt, R.W., (1996). “Measuring fund strategy and performance in changing economic conditions”. Journal of Finance, 51(2), pp.425–461.

Henriksson, R.D., (1984). “Market Timing and Mutual funds perfomance: An Empirical Investigation”. Journal of Business, 57(1, Part 1), pp.73–96.

Holmes, K.A., & Faff, R.W., (2004). “Stability, asymmetry and seasonality of fund performance: an analysis of Australian multi-sector managed funds”. Journal of Business Finance and Accounting, 31(3&4), pp.539–578.

Ivashina, V., (2009). “Asymmetric information effects on loan spreads”. Journal of Financial Economics, 92(2), pp.300–319.

Jiang, G., Yao, T., & Yu, T., (2007). “Do mutual funds time the market? Evidence from portfolio holdings”. Journal Financial Economics, 86 (3), pp.724–758.

Kitagawa, N. & Okuda, S., (2016). “Management Forecasts, Idiosyncratic Risk, and Information Environment”, The International Journal of Accounting, 51(4), pp. 487–503.

Kangoye, T., (2013). “Does aid unpredictability weaken governance? Evidence from developing countries”. Developing Economies, 51(2), pp.121–144.

Koenker, R., Bassett, G., (1978). Regression Quantiles. Econometrica, 46(1), pp.33-50.

Koenker, R., & Bassett, G., (1982). “Tests of Linear Hypotheses and L1 Estimation”. Econometrica, 50(6), pp.1577–1584.

Koenker, R., & Hallock, F.K., (2001). “Quantile regression”. Journal of Economic Perspectives, 15(4), pp.143-156.

Kon, S.J., (1983). “The market timing performance of mutual fund managers”. Journal of Business, 56(3), pp.323–347.

Lee, C. & Rahman, S., (1990). “Market timing, selectivity, and mutual fund performance: an empirical investigation”. Journal of Business, 63(2), pp. 261–278.

Lee, H-T., & Saltoglu, B., 2001. Evaluating Predictive Performance of Value-at-Risk Models in Emerging Markets: A Reality Check. Department of Economics, University of California, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.201.5907&rep=rep1&type=pdf (Accessed: 22/09/2015).

Mansor, F., Bhatti, M.I., & Ariff, M., (2015). “New evidence on the impact of fees on mutual fund performance of two types of funds”. Journal of International Financial Markets, Institutions & Money, 35 (March, 2015), pp.102–115.

Pástor, L. & Stambaugh, R.F., (2003). “Liquidity Risk and Expected Stock Returns”. The Journal of Political Economy, 111(3), pp.642-685.

Saez, J.C., (2008). “The dynamics of mutual funds and market timing measurement”. Studies Nonlinear Dynamics and Econometrics, 12(4), pp.1-38.

Tchamyou, S. V., & Asongu, S. A., (2017). “Information Sharing and Financial Sector Development in Africa”, Journal of African Business, 18(1), pp. 24-49.

Tchamyou, S. V., Nwachuwku, J. C., & Asongu, S. A., (2017). “Effects of asymmetric information on market timing in the mutual fund industry”, African Governance and Development Institute Working Paper , Yaoundé.

Treynor, J., & Mazuy, K., (1966). “Can mutual funds outguess the market?” Harvard Business Review, 44 (4), pp.131–136.

Wang, N-Y., Chen, S-S., Huang, C-J., & Yen, C-H., (2015). “Using Quantile Regression to Analyze Mutual Fund Risk and Investor Behavior of Variable Life Insurance”. International Journal of Economics and Finance, 7(1), pp.97-106.

Wu, C.C., (2011). “Measuring mutual fund asymmetric performance in changing market conditions: evidence from a Bayesian threshold model”. Applied Financial Economics, 21(16), pp.1185–1204.