Investigating key funds characteristics influencing their investment performance in Saudi Arabia: A dynamic panel data approach
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Author(s)Samira Ben BelgacemLink to ORCID Index: https://orcid.org/0000-0002-6619-2784
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Wafa GhardallouLink to ORCID Index: https://orcid.org/0000-0002-2625-2164
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Razan Alshebel
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DOIhttp://dx.doi.org/10.21511/imfi.18(2).2021.24
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Article InfoVolume 18 2021, Issue #2, pp. 298-311
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357 Downloads
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Creative Commons Attribution 4.0 International License
The study examines if specific characteristics of funds influence the performance of Saudi equity mutual funds. Previous research has explored various aspects of mutual funds. However, the Saudi Arabia literature focuses on evaluating the funds’ performance. Hence, this study seeks to close this gap by providing a framework to explain the equity fund performance. Several risks adjusted performance measures are applied such as Jensen’s alpha, lower partial moment alpha, Sharpe ratio, LPM-Sharpe ratio using the dynamic panel specification over the period 2010–2019. Based on the LPM alpha, the risk-adjusted return analysis reveals that the Saudi equity funds outperformed their benchmark over the full sample period. The empirical results show that major fund-specific characteristics such as fund size, past performance, and flow explain future performance. Besides, the evidence confirms that Saudi funds benefit from the economies of scale and expertise, while funds requiring higher levels of initial investment tend to exhibit lower performance levels. These findings provide investors and fund managers with useful information to make the optimal investment decisions in the mutual fund industry.
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JEL Classification (Paper profile tab)G23, G12, G11
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References60
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Tables5
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Figures0
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- Table 1. Descriptive statistics on mutual fund-specific characteristics and subsample fund return distribution
- Table 2. Summary statistics on performance measurement by fund groups
- Table 3. Correlation matrix and variance inflation factor
- Table 4. Influence of fund-specific factors on future performance for the full sample
- Table 5. Influence of fund-specific factors on future performance for the two subsamples: Growth funds/Income & growth funds
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- Afza, T., & Rauf, A. (2009). Performance evaluation of Pakistani mutual fund. Pakistan Economic and Social Review, 47(2), 199-214.
- Aragon, G. O. (2007). Share restrictions and asset pricing: Evidence from the hedge fund industry. Journal of Financial and Economics, 83(1), 33-58.
- Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carol evidence and an application to employment equation. Review of Economic Studies, 58, 277-29.
- Anderson, T. W., & Hsiao, C. (1981). Estimation of dynamic models with error components. Journal of American Statistical Association, 76.
- Babbar, S., & Sehgal, S. (2018). Mutual fund characteristics and investment performance in India. Management and Labour Studies, 43(1), 1-30.
- Baghdadabad, M. T. (2015). An empirical analysis of funds’ alternative measures in the mean absolute deviation (MAD) framework. International Journal of Emerging Markets, 10(4), 726-746.
- Barber, B., Odean, T., & Zheng, L. (2005). Out of sight, out of mind – the effects of expenses on mutual fund flows. Journal of Business, 78, 2095-2119.
- Barras, L., Scaillet, O., & Wermers, R. (2010). False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas. Journal of Finance, 65(1), 179-216.
- Bawa, V., & Lindenberg, E. (1977). Capital market equilibrium in a mean-lower partial moment framework. Journal of Financial Economics, 5, 89-200.
- Bekaert, G., Erb, C., Harvey, C., & Viskanta, T. (1998). Distributional Characteristics of Emerging Market Returns and Asset Allocation. Journal of Portfolio Management, 24, 102-116.
- Bello, Z., & Frank, L. (2010). A re-examination of the impact of expenses on the performance of actively managed equity mutual funds. European Journal of Finance & Banking Research, 3(3), 39-49.
- Belgacem, S. B., & Hellara, S. (2011). Predicting Tunisian mutual fund performance using dynamic panel data model. The Journal of Risk Finance, 12(3), 208-225.
- Bikker, J., Steenbeek, O., & Torracchi, F. (2012). The impact of scale, complexity and service quality on the administrative costs of pension funds: a cross-country comparison. Journal of Risk and Insurance, 79(2), 477-514.
- Blake, D., & Timmermann, A. (1998). The Birth and death processes of mutual funds. European Finance Review, 2, 57-77.
- Bollen, N., & Busse, J. (2004). Short-term Persistence in Mutual Fund Performance. Review of Financial Studies, 18, 569-597.
- Brown, S. J., & Goetzmann, W. (1995). Performance persistence. Journal of Finance, 50, 679-698.
- Budiono, D. P., & Martens, M. (2009). Persistence in Mutual Fund Performance and Time-Varying Risk Exposures (Working Paper, SSRN).
- Burger, J. D., & Warnock, F. E. (2007). Foreign participation in local currency bond markets. Review of Financial Economics, 16(3), 291-304.
- Carhart, M. (1997). On persistence in mutual fund performance. Journal of Finance, 52, 57-82.
- Chevalier, J., G., & Ellison. (1997). Risk taking by mutual funds as a response to incentives. Journal of Political Economy, 105, 1167-1200.
- Chen, J., Hong, H., Huang, M., & Kubik, J. (2004). Does fund size erode performance? Liquidity, organizational diseconomies, and active money management. American Economic Review, 94, 1276-1302.
- Dahlquist, M., Engstrom, P., & Soderlind, P. (2000). Performance and characteristics of Swedish mutual fund. Journal of Financial and Quantitative Analysis, 35(3), 409-423.
- Dumitrescu, A., & Gil-Bazo, J. (2018). Market frictions, investor sophistication, and persistence in mutual fund performance. Journal of Financial Markets, 40, 40-59.
- Edelen, R. M. (1999). Investor Flows and the assessed performance of open-end mutual funds. Journal of Financial Economics, 53, 439-466.
- Elton, E. J., Gruber, M. J., & Blake, C. R. (1996a). The Persistence of risk-adjusted Mutual Fund Performance. Journal of Business, 69, 133-157.
- Elton, E. J., Gruber, M. J., & Blake, C. R. (1996b). Survivorship Bias and Mutual Fund Performance. Review of Financial Studies, 9(4), 1097-1120.
- Ferreira, M. A., Miguel, A., & Ramos, S. (2006). The determinants of mutual fund performance: A cross-country study (Swiss Finance Institute Research Paper, 30).
- Ferreira, M., Keswani, A., Miguel, A., & Ramos, S. (2012). The determinants of mutual fund performance: A cross-country study. Review of Finance, 17(2), 483-525.
- Ferson, W., & Schadt, R. (1996). Measuring Fund Strategy and Performance in Changing Economic Conditions. Journal of Finance, 51, 425-462.
- Gilbert, A., Scott, A., & Xu, S. (2019). Economies of scale: the case of Kiwi Saver fees. Pacific Accounting Review, 31(4), 695-710.
- Goel, S., Mani, M., & Sharma, R. (2012). A review of performance indicators of mutual fund. Journal of Arts, Science and Commerce, 3(4), 100-107.
- Golec, J. (1996). The Effect of mutual fund managers’ characteristics on their portfolio performance, risk and fees. Financial Services Review, 5(2), 133-148.
- Grinblatt, M., & Titman, S. (1989b). Portfolio performance evaluation: Old issues and new insights. The Review of Financial Studies, 2, 393-416.
- Gruber, M. (1996). Another puzzle: The growth in actively managed mutual funds. Journal of Finance, 51, 783-810.
- Hendricks, D., Patel, J., & Zeckhauser, R. (1997). The j-Shape of performance persistence given survivor bias. Review of Economics and Statistics, 79(2), 161-166.
- Hwang, S., & Pedersen, C. S. (2004). Asymmetric risk measures when modeling emerging markets equities: evidence for regional and timing effects. Emerging Markets Review, 5(1), 109-128.
- Ippolito, R. A. (1989). Efficiency with costly information: a study of mutual fund performance, 1965–1984. Quarterly Journal of Economics, 104-123.
- Investment Company Institute. (2020). Investment Company Fact Book.
- Jensen, M. (1968). The Performance of mutual funds in the period 1945–1964. Journal of Finance, 23(2), 389-416.
- Kalpakam, G., & Smita, R. (2018). Do the Winners repeat their performance? A Case Indian Mutual Funds, Proceedings of International Academic Conferences. International Institute of Social and Economic Sciences.
- Kaur, I. (2018). Effect of mutual fund characteristics on their performance and trading strategy: a dynamic panel approach. Cogent Economic and Finance, 6.
- Khan, K., Jamil, S. A., & Uddin, M. A. (2016). Performance evaluation of mutual funds in Oman: investor’s perspective. Journal of Business and Retail Management Research, 10(2).
- Lamphun, P. N., & Wongsurawat, W. (2012). A survey of mutual fund fees and expenses in Thailand. International Journal of Emerging Markets, 7(4), 411-429.
- Latzko, D. A. (1999). Economies of scale in mutual fund administration. Journal of Financial Research, 22, 331-339.
- Low, S. (2010). Relationship between fund performance and characteristics of the Malaysian unit trust fund. Singapore Management Review, 32(1), 29-44.
- Mansor, F., Bhatti, M., & 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 and Money, 35(1), 102-115.
- Matos, P., Penna, C. M., & Silva, A. (2012). Mutual Investments Funds in Shares in Brazil: Incentives, Management and Convergence. Brazilian Business Review, 12(2).
- Matos, P., & Rocha, T. (2009). Stocks and Mutual Funds: Common Risk Factors?
- Milena, J., Predrag, M., & Miljan, L. (2017). A multi-criteria decision-making approach to performance evaluation of mutual funds: a case study in Serbia. Yugoslav Journal of Operations Research, 3, 385-414.
- Otten, R., & Bams, D. (2004). How to measure mutual fund performance: Economic versus statistical relevance. Accounting and Finance, 44(2), 203-222.
- Payne, T. H., Parther, L., & Bertin, W. (1999). Value creation and determinants of equity fund performance. Journal of Business Research, 45, 69-74.
- Sharpe, W. F. (1966). Mutual Fund Performance. Journal of Business, 39, 119-138.
- Singh, A. B., & Tandon, P. (2021). Association between fund attributes and fund’s performance: a panel data approach. Benchmarking: An International Journal.
- Sirri, E., & Tufano, P. (1998). Costly Search and Mutual Fund Flow. Journal of Finance, 35, 1589-1622.
- Sortino, F., & Van Der Meer, R. (1991). Downside risk. Journal of Portfolio Management, 27-32.
- Rakowski, D. (2003). Fund flow volatility and performance (Working paper). Georgia State University.
- Zabiulla. (2014). Portfolio strategies of fund managers in the Indian capital market. IIMB Management Review, 26(1), 28-58.
- Zheng, L. (1999). Is Money Smart? Is Money Smart? A Study of Mutual Fund Investors’ Fund Selection Ability. Journal of Finance, 54, 901-933.
- Walsh, L. (2004). The costs and benefits to fund shareholders of 12b-1 plans: an examination of fund flows, expenses and returns (Working paper). Securities and Exchange Commission.
- Wang, J. (2002). Economies of scale in mutual fund administration: an empirical study on U.S market. Madison: University of Wisconsin.
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Rashmi Chaudhary ,
Priti Bakhshi
doi: http://dx.doi.org/10.21511/imfi.18(3).2021.02
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Silviana ,
Faisal Hamdani
doi: http://dx.doi.org/10.21511/imfi.15(1).2018.01
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doi: http://dx.doi.org/10.21511/imfi.16(2).2019.09
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