Inflows and outflows of mutual funds: a performance comparison of funds offered by traditional banks, insurance companies and mutual fund companies
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Author(s)Lu-Chen HsiehLink to ORCID Index: http://orcid.org/0000-0002-9743-5611
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Ying-Shing LinLink to ORCID Index: http://orcid.org/0000-0003-1778-2574
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DOIhttp://dx.doi.org/10.21511/imfi.15(4).2018.21
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Article InfoVolume 15 2018, Issue #4, pp. 258-272
- 1148 Views
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177 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The transformations in internet technology and financial innovation have led to the prevalence of direct finance, causing indirect finance to contract and concerns among traditional banks and insurance channel operators to seek transformation to innovate traditional services with advanced technology applications. The research compares the sales revenue flows of traditional banks, insurance companies, and mutual fund institutions, using quantile regression methods with five mutual fund factors: Jensen’s indexes, expenses, risks, sizes, and turnover rates. The sample statistics from 2001 to 2016 were evident, showing the results that sales revenue flows of bank and insurance companies did not decrease when compared to institutional fund investors, but instead, grew substantially, owing to the significant relationship of better technological services and financial innovation by banks and insurance companies. The research contribution is to point out that financial industry should focus, review and strengthen its most competitive core services inside, which are less challenged by outside competitors. By adhering to financial innovation and internet technology, it is still possible for traditional banks and insurance channels to gain substantial market shares with concentration on their core competitive services.
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JEL Classification (Paper profile tab)G21, G22, G23
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References26
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Tables12
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Figures0
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- Table 1. Fund cumulative number, size, and risk statistics
- Table 2. Fund performance statistics
- Table 3. Fund performance comparison table
- Table 4. Groups regression model of fund inflow
- Table 5. Group A correlations
- Table 6. Group B correlations
- Table 7. Group C correlations
- Table 8. Variance Inflation Factor analysis
- Table 9. Groups regression model of fund outflow
- Table 10. Fund Jarque-Bera table statistics
- Table 11. Fund inflow, performance and fund characteristics
- Table 12. Fund outflow, performance and fund characteristics
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- Amihud, Y., & Goyenko, R. (2013). Mutual fund’s R2 as a predictor of performance. Review of Financial Studies, 26(3), 667-694.
- Banz, R. W. (1981). The Relationship between Return and Market Value of Common Stocks. Journal of Financial Economics, 9(1), 3-18.
- Barber, B. M., Odean, T., & Lu, Z. (2005). Out of Sight, Out of Mind: The Effects of Expenses on Mutual Fund Flows. The Journal of Business, 78(6), 2095-2119.
- Carhart, M. M. (1997). On persistence in mutual fund performance. Journal of Finance, 52(1), 57-82.
- Chalmers, J., & Edelen, Roger M., & Kadlec, G. B. (1999). An Analysis of Mutual Fund Trading Costs.
- Chen, X., Yao, T., & Yu, T. (2007). Prudent man or agency problem? On the performance of insurance mutual funds. Journal of Financial Intermediation, 16(2), 175- 203.
- Chevalier, J., & Ellison, G. (1997). Risk taking by mutual funds as a response to incentives. Journal of Political Economy, 105, 1167-200.
- Dahlquist, M., Engstrom, S., & Soderlind, P. (2000). Performance and characteristics of Swedish mutual funds. Journal of Financial and Quantitative Analysis, 35(3), 409-423.
- Ferrini, J.-P. (2006). Dante, Pétrarque, Leopardi. Beckett: une divine perspective. Samuel Beckett Today/Aujourd’hui, 17, 53-66.
- Frazzini, A. (2006). The Disposition Effect and Under Reaction to News. The Journal of Finance, 61(4), 2017-2046.
- Fu Ying-fen, Kang Xin-hong, Liu Hai-qing (2010). The fund’s advertising effect-the concept of subscription and redemption. Economic Papers, 38(3), 459-502.
- Grinblatt, M. S., & Titman, S. (1994). A study of monthly mutual fund returns and performance evaluation techniques. Journal of Financial and Quantitative Analysis, 29(3), 419-444.
- Huang, J., Wei, K. D., & Hong, Y. (2007). Participation Costs and the Sensitivity of Fund Flows to Past Performance. The Journal of Finance, 62(3), 1273-1311.
- Indro, D., Jiang, C., Hu, M., & Lee, W. (1999). Mutual Fund Performance: Does Fund Size Matter? Financial Analysts Journal, 55(3), 74-87.
- Ippolito, R. A. (1992). Consumer reaction to measures of poor quality: Evidence from the mutual fund industry. Journal of Law and Economics, 35(1), 45-70.
- Jank, S., & Wedow, M. (2013). Purchase and redemption decisions of mutual fund investors and the role of fund families. The European Journal of Finance, 19(2), 127-144.
- Jensen, A. R. (1968). Patterns of mental ability and socioeconomic status. Proceedings of the National Academy of Sciences, 60, 1330- 1337.
- Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica Society, 47, 263-291.
- Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica Society, 46(1), 33-50.
- Koenker, R., & Hallok (2001). Quantile Regression. Journal of Economic Perspectives, 15(4).
- Lee, C., & Swaminathan, B. (2000). Price momentum and trading volume. Journal of Finance, 55, 2017-2069.
- O’Neal, E. S. (2004). Purchase and Redemption Patterns of US Equity Mutual Funds. Financial Management, 33(1), 63-90.
- Pollet, J. M., & Wilson, M. (2008). How Does Size Affect Mutual Fund Behavior? The Journal of Finance, 63(6), 2941-2956.
- Rakowski, D. (2010). Fund Flow Volatility & Performance. Journal of Financial and Quantitative Analysis, 45(1), 223-237.
- Sharpe, W. F. (1966). Mutual Fund Performance. Journal of Business, 39, 119-138.
- Shu, P. G., Yeh, Y. H., & Yamada, T. (2002). The behavior of Taiwan mutual fund investors-performance and fund flows. Pacific-Basin Finance Journal, 10, 583-600.
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Investment motives and preferences – An empirical inquiry during COVID-19
K. Riyazahmed
doi: http://dx.doi.org/10.21511/imfi.18(2).2021.01
Investment Management and Financial Innovations Volume 18, 2021 Issue #2 pp. 1-11 Views: 1936 Downloads: 1898 TO CITE АНОТАЦІЯFollowing the COVID-19 breakout, investment in shares, mutual funds, and life insurance are witnessing a growing trend in India. Hence, examining the determinants of investor preferences is necessary to maintain a positive trend. This study analyzes the impact of investor motives and awareness on investor preferences using the data collected from 753 Indian investors in 2020. Factor analysis grouped the investment motives into six categories, namely Nature of investments, Future financial needs, Investor personal characteristics, Safety and stability of investments, Investor behavioral aspects, and Investor’s options. The regression model used to find the impact of the investment motives and the awareness on the investor preferences explains 52.3% of changes in investor preference. Investment factors like Nature of investments, Investor personal characteristics, Investor behavior, Investor options, Awareness of mutual funds, and shares have a significant impact on investor preferences. Further, the awareness level of mutual funds and the stock market are the major variables contributing to Investors’ preference rather than identified investment factors. Investors’ personal characteristics like knowledge, confidence, ability, responsibility, and belief negatively influence investor preferences. This study adds to the existing literature by analyzing investment motives and preferences during the pandemic.
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Performance evaluation of Saudi equity mutual funds: Fama decomposition model
Investment Management and Financial Innovations Volume 15, 2018 Issue #4 pp. 158-168 Views: 1557 Downloads: 893 TO CITE АНОТАЦІЯThis paper is in pursuit of analyzing and elongating prior research on the performance evaluation of mutual funds by a comparative analysis with three categories of 82 Saudi equity funds during 2011 to 2016 using Fama’s decomposition model. The paper also made an attempt to explore the relationship with the risk reward ratio to the relative performance measure in predicting the future performance of the Saudi equity fund returns. The empirical results show that Saudi local equity funds perform better followed by Arabian and international/global equity funds in terms of expected signs and diagnostic tests.
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Role of institutional quality in economic development: A case study of Asian countries
Oanh Kim Thi Tran ,
Hac Dinh Le ,
Anh Hong Viet Nguyen
doi: http://dx.doi.org/10.21511/ppm.19(2).2021.29
Problems and Perspectives in Management Volume 19, 2021 Issue #2 pp. 357-369 Views: 1286 Downloads: 1825 TO CITE АНОТАЦІЯThe paper investigates the impact of institutional quality on economic growth by taking 48 countries in Asia between 2005 and 2018. By using the quantile regression methods with panel data, institutional quality is found to be a key factor of economic development. However, in the lower-income Asian countries, the institution with better quality appears to promote the growth more effectively than in the higher-income ones. Moreover, the paper also finds out a nonlinear relationship between institutions and economic growth. The results show that there is an institutional threshold for economic growth to reach its highest level. If the institution indicator exceeds the threshold, it causes the reverse effect on the growth. Moreover, the economic growth of Asian countries is also affected by inflation (INF), labor force (LABO), trade openness (OPEN), and infrastructure (TELE). From that, the study suggests some policy implications for Asian countries and Vietnam, in particular, in order to improve institutions contributing to economic growth.
