Testing of causality relationship between Indian and Australian mutual funds performance: standard vs customized benchmarks
-
DOIhttp://dx.doi.org/10.21511/imfi.17(3).2020.18
-
Article InfoVolume 17 2020, Issue #3, pp. 231-245
- 657 Views
-
97 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Most Australian domestic investors rely on fund managers, and in India, this is not the same as they are primarily in direct investment rather than indirect. The study attempts to investigate the causal relationship between the returns of the standard indices, namely BSE500 and ASX300, and customized indices, MIMF and MAMF, for both India and Australia. The study uses econometric tools and techniques such as unit root test, vector error correction model, Wald test, Johansen co-integration, and model efficacy assumptions on the historical closing NAV of the selected mutual fund schemes for the period from April 2008 to March 2018. The econometric investigation using Johansen’s Co-Integration test confirmed the co-integration between BSE500, ASX300 and customized indices. Empirical evidence suggests that the Australian customized MAMF index is not Granger-caused by the Indian customized index MIMF, and therefore the MIMF index value cannot be used to predict the future rate of index MAMF returns, and vice versa.
- Keywords
-
JEL Classification (Paper profile tab)G11, G17, G23, G41
-
References45
-
Tables12
-
Figures4
-
- Figure 1. MIMF and BSE500 quarterly returns from April 2008 to March 2018
- Figure 2. ASX300 and MAMF quarterly returns from April 2008 to March 2018
- Figure 3. Normality test for MIMF and BSE500
- Figure 4. Normality test for MAMF and ASX300
-
- Table 1. Country-wise contribution of the world’s largest 500 asset managers
- Table 2. Worldwide open-end funds – total net assets
- Table 3. ADF test – MIMF and BSE500
- Table 4. ADF test – ASX300 and MAMF
- Table 5. Johansen co-integration test outcome – MIMF and BSE500
- Table 6. Johansen co-integration test outcome – MAMF and ASX300
- Table 7. Co-integrating vector of MIMF and BSE500
- Table 8. Long-run causality variable (least squares) of MIMF and BSE500
- Table 9. Long-run causality variable (least squares) of MAMF and ASX300
- Table 10. Wald test results for MIMF and BSE500 and MAMF and ASX300
- Table 11. Heteroskedasticity and serial correlation test
- Table 12. Granger causality test
-
- 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.
- Allen, D. E., & Macdonald, G. (1995). The long-run gains from international equity diversification: Australian evidence from cointegration tests. Applied Financial Economics, 5(1), 33-42.
- Aro-Gordon, S. (2017). Econometric analysis of exchange rate and export performance in a developing economy. Asian Economic and Financial Review, 7(4), 334-348.
- Australia Trade and Investment Commission (Austrade). (2017). Australia’s Managed Funds 2017 Update (Trade and Investment Note). Canberra AU: The Commonwealth of Australia.
- Australian Government. (2018). All India Economic Strategy 2035 (Chapter 2. The Investment Story).
- Benson, K. L., & Faff, R. W. (2006). Conditional performance evaluation and the relevance of money flow for Australian international equity funds. Pacific-Basin Finance Journal, 14(3), 231-249.
- Ben-Zion, U., Choi, J. J., & Hauser, S. (1996). The price linkages between country funds and national stock markets: Evidence from cointegration and causality tests of Germany, Japan, and UK funds. Journal of Business Finance & Accounting, 23(7), 1005-1017.
- Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
- Boudreaux, D. O., Rao, U. S. P., Ward, D., & Ward, S. (2007). Empirical Analysis of international mutual fund performance. International Business & Economics Research Journal, 6(5), 19-22.
- Brown, S. J., & Goetzmann, W. N. (1995). Performance Persistence. The Journal of Finance, 50(2).
- Chittedi, K. R. (2010). Integration of international stock markets: With special reference to India. GITAM Journal of Management, 9(3), 1-16.
- Chu, P. K. K. (2010). The price linkages between the equity fund price levels and the stock markets: Evidence from the cointegration approach and causality analysis of the Hong Kong Mandatory Provident Fund (MPF). International Review of Financial Analysis, 19(4), 281-288.
- CIA Factbook. (2020a). Australia Economy 2020.
- CIA Factbook. (2020b). India Economy 2020.
- Connor, G., & Korajczyk, R. A. (1988). Risk and return in an equilibrium APT: Application of a new test methodology. Journal of Financial Economics, 21(2), 255-289.
- Debasish, S. S. (2009). Investigating the performance of equity-based mutual fund schemes in Indian scenario. KCA Journal of Business Management, 2(2), 1-15.
- Diebold, F. X. (2007). Macroeconomic Volatility and Stock Market Volatility, Worldwide (NBER Working Paper 14269).
- Engle, R., & Granger, C. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276.
- Getmansky, M., Lo, A. W., & Makarov, I. (2004). An econometric model of serial correlation and illiquidity in hedge fund returns. Journal of Financial Economics, 74(3), 529-609.
- Glynn, J., Perera, N., & Verma, R. (2007). Unit Root Tests and Structural Breaks: A Survey with Applications. Journal of Quantitative Methods for Economics and Business Administration, 34(1), 63-79.
- Granger, C. W. J., & Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2(2), 111-120.
- International Investment Funds Association (IIFA). (2020). Industry Statistics.
- Ippolito, R. A. (1989). The efficiency with costly information: A study of mutual fund performance, 1965–1984. Quarterly Journal of Economics, 104(1), 1-23.
- Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254.
- Johansen, S., & Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration with Applications to Demand for Money. Oxford Bulletin of Economics and Statistics, 52(2), 169-210.
- Kirchgässner, G., & Wolters, J. (2007). Introduction to Modern Time Series Analysis.
- Levi, S., Garag, A. K., & Merlyn, S. (2016). An empirical study on the performance of emerging and developed stock markets concerning the Indian stock market. International Educational Scientific Research Journal, 2(12), 92-96.
- Low, S.-W. & Ghazali, N. A. (2007). The price linkages between Malaysian unit trust funds and the stock market: Short run and long run interrelationships. Managerial Finance, 33(2), 89-101.
- Mamta, & Ojha, S. C. (2017). Performance Evaluation of Mutual Funds: A Study of Selected Equity Diversified Mutual Funds in India. International Journal of Research in Business Management, 5(11), 85-92.
- Mandaviya, J. (2014). Indian stock market influenced by the global stock market: A study of select world major stock markets. Samzodhana – Journal of Management Research, 2(1), 12-24.
- Mohanasundaram, T., & Karthikeyan, P. (2015). Cointegration and stock market interdependence: Evidence from South Africa, India, and the USA. SAJEMS, 18(4), 475-485.
- Nadia, L. N., & Mora, B. R. (2018). A Comparative Analysis of Mutual Fund Schemes. International Journal of Engineering Technology Science and Research, 5(3), 712-717.
- Pandow, B. A., & Butt, K. A. (2017). Risk and Return Analysis of Mutual Fund Industry in India. International Journal of Banking and Financial Dynamics, 1(1), 54-65.
- Paramati, S. R., Gupta, R., & Roca, E. (2012). International Equity Markets Integration: Evidence from Global Financial Crisis and Structural Breaks.
- Perron, P. (1990). Testing for a Unit Root in a Time Series with a Changing Mean. Journal of Business and Economic Statistics, 8(2), 153-162.
- Pokhriyal, A., Singh, L., & Singh, S. (2011). Comparative analysis of the impact of various global stock markets and determinants on Indian stock market performance – A case study using multiple linear regression and neural networks. In S. Dua, S. Sahni, D.P. Goyal (Eds.), Information Intelligence, Systems, Technology and Management, 141 (pp. 277-286).
- Raju, J. K., Manjunath, B. R., & Rehaman, M. (2018). An Empirical study on the effect of Gross Domestic Product on Inflation: Evidence Indian Data. Academy of Accounting and Financial Studies Journal, 22(6), 1-11.
- Rani, G., & Hooda, V. S. (2017). Performance Evaluation of Mutual Fund Schemes: A Study of Selected Topper Schemes. IOSR Journal of Business and Management (IOSR-JBM), 19(10), 1-6.
- Rao, K. V., & Daita, N. (2011). Fundamental Factors influencing Investment in Mutual Funds-EIC Approach-A Case Study of RCAML. The Indian Journal of Commerce, 64(3), 61-73.
- Reuters. (2017). India eases foreign investment rules for corporate debt.
- Samadder, S., & Bhunia, A. (2018). Integration between Indian Stock Market and Developed Stock Markets. Journal of Commerce and Accounting Research, 7(1).
- Sharma, N. K. S., & Ravikumar, R. (2013). Analysis of The Risk and Return Relationship of Equity Based Mutual Fund in India. International Journal of Advancements in Research & Technology, 2(8), 289-295.
- Taneja, Y. P. (2012). Stock market integration: A study of the world’s major stock exchanges with special reference to India. Vision, 16(2), 109-120.
- Watson, J., & Wickramanayake, J. (2012). The relationship between aggregate managed fund flows and share market returns in Australia. Journal of International Financial Markets, Institutions, and Money, 22(3), 451-472.
- White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometric, 48(4), 817-838.