Analyze the relationship between mutual fund flows and stock market returns in United States and Taiwan.
Chu, Nha Trang、陳美玲
E-mail: [email protected]
ABSTRACT
The main purpose of this study is to explore the relationship between mutual fund flows and stock market returns in United States and Taiwan. The empirical evidence from Granger causality test indicates that mutual fund flows lead stock market return in both countries but not true in vice versa. Therefore, investors can rely on the past performance of mutual fund flows to predict the behavior of stock returns in both countries. Furthermore, OLS regression leads to the conclusion that there existing positive long-term relations between TWMFF and TWSMR, between USMFF and USSMR and negative relations from USMFF to TWSMR, but it’s very small impact. We also obtain the results from VAR suggested that stock return can be predicted by lagged fund flows in US case. Moreover, a significant one month lagged is retrieved from USMFF. Within two month lagged, USSMR is influenced by USMFF while there having a two-way feedback between TWMFF and TWSMR. The response to shock of TWMFF is stronger and longer than USMFF, indicate that United States is a more efficient Market than Taiwan from the aspect of mutual fund market.
Keywords : mutual fund flows, Stock market return, Granger Causality, VAR model, impulse response function, OLS.
Table of Contents
中文摘要 ..................... iii Abstracts ......................
iv Acknowledgments .................. v List of Tables ....................
viii Lists of Figures a................... ix Lists of Abbreviations................
. x Chapter 1 Introduction ................ 1 1.1 Background and motivations ......... 1 1.2 Objectives ................ 4 1.3 Chapter Outline .............. 5 Chapter 2 Literature review .............. 7 2.1 Background of Mutual fund market....... 7 2.2 Relations between mutual fund flows and stock market returns .. ............. 8 2.3 Literature about Methodology ......... 12 Chapter 3 Data and Methodology ............ 14 3.1 Data Descriptions
..... ........ 14 3.2 Methodology ....... ........ 15 Chapter 4 Empirical Results...
........... 26 4.1 Descriptive statistics............. 26 4.2 ARCH tests .......
......... 29 4.3 Unit root test................ 30 4.4 Granger Causality test .......
..... 32 4.5 Ordinary Least Squares test .......... 33 4.6 Vector Autoregressive (VAR) Model Test ...
. 36 Chapter 5 Conclusions and Suggestions ......... 47 5.1 Conclusions ................ 47 5.2 Suggestions ................ 48 References ..................... 49 Table 3-1 The definition of variables and data sources .... 15 Table 4-1 Descriptive statistics for mutual fund flows and stock market return in United States and Taiwan ... 28 Table 4-2 The results of ARCH test............ 30 Table 4-3 Unit root test on Level Data of Time Series..... 31 Table 4-4 Granger Causality Test.............
32 Table 4-5 The results of OLS Regression ......... 34 Table 4-6 The Optimal Lag Terms of VAR model ....
.. 37 Table 4-7 VAR Empirical results of United States ...... 38 Table 4-8 VAR Empirical results of Taiwan....
..... 40 Table 4-9 Impulse Response Function Analysis of United States 42 Table 4-10 Impulse response Function Analysis of Taiwan ... 45 Figure 1-1 Structure of study ............. 6 Figure 4-1 Trend graph of level data in United States.... 27 Figure 4-2 Trend graph of level data in Taiwan ...... 27 Figure 4-3 Response to shock of USMFF ........ 43 Figure 4-4 Response to shock of USSMR ........ 43 Figure 4-5 Response to shock of TWMFF ........ 46 Figure 4-6 Response to shock of TWSMR ........ 46
REFERENCES
Adamati, A.R., & Pfleiderer, P. (1990). Direct and indirect sale of information. Econometrica, 58 (4), 901-928. Alexakis, C., Niarchos, N., Patra, T.,
& Poshakwale, S. (2005). The dynamics between stock returns and mutual fund flows: Empirical evidence from the Greek market. International
Review of Financial Analysis, 14 (5), 559-569. Bams, D., & Otten, R. (2002). European mutual fund performance. European Financial Management, 8 (1), 75-101. Barber, B. M., Odean, T., & Zheng, L. (2000) The behavior of mutual fund investors. Graduate School of Management. UC-Davis, Working Paper. Barber, B. M., Odean, T., & Zheng, L. (2001) Out of sight, out of mind: The effects of expenses on mutual fund flows. Davis Graduate School of Management. Working Paper. Blake, D., & Timmermann, A. (1998). Mutual fund performance:
evidence for the U.K. European Finance Review, 2 (1), 57-77. Boyer, Brian & Lu Zheng (2004). Who moves the market? A study of stock prices and sector cashflows. Working paper. University of Michigan. Braverman, O., Kandel, S., & Wohl, A. (2005). The bad timing of mutual fund investors. Centre for Economic Policy Research Discussion Paper 5243. Brennan, M. J., & Hughes, P. (1991). Stock prices and the supply of information. Journal of Finance, 46 (5), 1665-1691. Brennan, M. J., & Chordia, T. (1993). Brokerage commission schedules. Journal of Finance, 48 (4), 1379-1403. Brown, S. J., Goetzmann, W. N., Hiraki, T., Otsuki, T., & Shiraishi, N. (2001). The Japanese open-end fund puzzle. Journal of Business, 74 (1), 59-77 Cha, H. J., & Lee, B. S. (2001). The market demand curve for common stocks: Evidence from equity mutual fund flows.
Journal of Financial and Quantitative Analysis, 36 (2), 195-220 Cha, H. J., & Kim J., (2006). Stock prices and equity mutual fund flows: A macro approach. Working Paper. Chalmers, J. M. R., Edelen, R. M., & Kadlec G. B. (2001). On the perils of financial intermediaries setting security prices: the mutual fund wild card option. Journal of Finance, 56 (6), 2209-2236. Chari, V. V., & Jagannathan, R. (1988). Banking panics,
information and rational expectations equilibrium. Journal of Finance, 43 (3), 749-761. Chou, W. L., Gau, J. J. S., & Liang, K. Y. (2007). Industrial business cycle linkages between Taiwan and the United States: Evidence from the IT industry. Journal of Asian Economics, 18 (3), 439 -447.
Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74 (336), 427-431. Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49 (4), 1057-1072. Edelen, R. M. (1999). Investor flows and the assessed performance of open-end mutual funds. Journal of Financial Economics, 53 (3), 439-466. Edelen, R. M., & Warner, J. B. (2001). Aggregate price effects of institutional trading: a study of mutual fund flow and market returns. Journal of Financial Economics, 59 (2), 195-220. Edward, F., & Zhang, X. (1998). Mutual funds and stock and bond market stability. Journal of Financial Services Research, 13 (3), 257-282. Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55 (2), 251 -276. Fant, F. L. (1999). Investment behavior of mutual fund shareholders: The evidence from aggregate fund flows. Journal of Financial Markets, 2 (4), 391- 402. Frankel, J. A., & Rose, A. K. (1998). The endogeneity of the optimum currency area criteria. Economic Journal, Royal Economic Society, 108 (449), 1009 -1025. Goetzmann, W. N., Massa, M. & Geert, R. (2000). Behavioral factors in mutual fund flows. Yale ICF Working Paper No.00-14. Goetzmann, W. N. & Massa, M. (2003). Index funds and stock market growth. Journal of Business, 76 (1), 1-28. Granger, C. W. (1969). Investigating causal relations by econometric models and crossspectral methods. Econometrica, 37 (3), 424 -438. Gruber, M. J. (1996). Another puzzle: The growth in actively managed mutual funds.
Journal of Finance, 51 (3), 783-810. Khorana, A., Servaes, H., & Tufano, P. (2005). Explaining the size of the mutual fund industry around the world. Journal of Financial Economics, 78 (1), 145 -185. Kim, J. (2004). Short run real exchange rate dynamics: A SUR approach. Applied Economics Letters, 11 (14), 909-913. Kim, J. (2007). Stock returns and aggregate mutual fund flows: A system approach. Far Eastern Meeting of the Econometric Society (25): Empirical Financial Economics. Lee, S., & Hansen, B. E. (1994). Asymptotic Theory for GARCH (1,1)
Quasimaximum likelihood Estimator. Econometric Theory, 10 (1), 29-52 Mosebach, M., & Najand, M. (1999). Are the structural changes in mutual funds investing driving the U.S. stock market to its current levels? The Journal of Financial Research, 22 (3), 317-329. Nanda, V., Narayanan, M. P., & Warther, V. A. (2000). Liquidity, investment ability, and mutual fund structure. Journal of Financial Economics, 57 (3), 417-443. Nelson, C., & Plosser, C. (1982). Trends and random walks in macroeconomics time series: Some evidence and implications. Journal of Monetary Economics, 10 (1), 139-162. Oh, N. Y., & Parwada, J. T. (2007). Relations between mutual fund flows and stock market returns in Korea. International Financial Markets, Institutions & Money, 17 (2), 140-151. Fortune, P. (1998). Mutual funds, part II: Fund flows and security returns, New England Economic Review, 3-22. Phillips, P. C. B. (1998). Impulse response and forecast error variance asymptotics in nonstationary VARs. Journal of Econometrics, 83 (1; 2), 21-56. Philippas, N. D. (2002). The interaction of mutual funds flows and security returns in emerging markets: The case of Greece. Working paper. Potter, M. (1999). The dynamic relationship between security returns and mutual fund flows.
University of Massachusetts-Amherst Ph.D. Dissertation. Remolona, E. M., Kleiman, P., & Gruenstein, D. (1997). Market returns and mutual fund flows. Economic Policy Review, 3 (2), 33-52. Santini, D. L., & Aber, J. W. (1998). Determinants of net new money flows to the equity mutual fund industry. Journal of Economics and Business 50 (5), 419-429. Sirri, E. R., & Tufano, P. (1998). Costly search and mutual fund flows, Journal of Finance, 53 (5), 1589-1622. Tarun, C. (1996). The structure of mutual fund charges. Journal of Financial Economics, 41 (1), 3-39. Warther, V. A.
(1995). Aggregate mutual fund flows and security returns. Journal of Financial Economics, 39 (2; 3), 209-235. Watson, M. W. (1994). Vector autoregressions and cointegration. In Handbook of Econometrics, Volume IV (eds. Engle, R.F. and McFadden, D.L.), Elsevier Science B.V. Wei, J.
K. C., Liu Y. J., Yang C. C., & Chaung G. S. (1995). Volatility and price change spillover effects across the developed and emerging markets.
Pacific-Basin Finance Journal, 3 (1), 113-136. Zheng, L. (1999). Is money smart? A study of mutual fund investor’s fund selection ability. Journal of Finance, 54 (3), 901-933.