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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Open Access Original Article

Revisiting the Weak Form Efficiency with Structural Breaks: Evidence from the Indian Stock Market

Srikanth Parthasarathy1

1 Associate Professor, Rajalakshmi School of Business, Chennai-Bangalore Highway, Chembarambakkam, Kuthambakkam Post, Chennai - 600 124

Volume 13
Issue 10
Pages 7–21
Year 2019
Received: Aug. 18, 2018 Accepted: Aug. 25, 2019 Published: Oct. 31, 2019
Abstract

This study investigated the weak form efficiency in the Indian stock market after accounting for structural breaks. The parametric and non-parametric Wright (2000) sign variance ratio test and its multiple variance ratio extensions, after accounting for structural breaks based on Bai and Perron (2003), were used in this study. This study found that the large, middle, and small capitalization indices were not weak form efficient based on the variance ratio tests on daily data for the 2000-2017 period. However, once the structural breaks were accounted for, this study found the large capitalization indices to be weak form efficient. However, the middle and small capitalization indices were not weak form efficient, even after accounting for structural breaks. The notion of adaptive or evolving market efficiency was also supported in this study. The traders will not get abnormal economic profits by trading in the large capitalization space. However, outside the large capitalization space, there is potential for abnormal economic profits. This study supports the assertion that if the structural breaks were not considered, weak form of market efficiency tests might give misleading results. The present study is different from most other studies in the Indian market by accounting for the structural breaks in the weak form of efficiency tests.

Keywords Weak Form Market Efficiency Variance Ratio Structural Breaks India /p> JEL Classification
How to Cite

Srikanth Parthasarathy (2019). Revisiting the Weak Form Efficiency with Structural Breaks: Evidence from the Indian Stock Market. Indian Journal of Finance, 13(10), 7–21. https://doi.org/10.17010/ijf/2019/v13i10/147744

References
  1. Al-Khazali, O.M., Ding, D.K., & Pyun, C.S. (2007). A new variance ratio test of random walk in emerging markets: A revisit. Financial Review, 42(2), 303-317. <a href=https://dx.doi.org/10.1111/j.15406288.2007.00173.x target="_blank">https://dx.doi.org/10.1111/j.15406288.2007.00173.x</a>
  2. Bai, J., & Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1), 1-22. <a href=https://dx.doi.org/10.1002/jae.659 target="_blank">https://dx.doi.org/10.1002/jae.659</a>
  3. Bekaert, G., & Harvey, C.R. (2000). Capital flows and the behavior of emerging market equity returns. In, S. Edwards (ed.), Capital inflows to emerging markets (pp. 159-194). Chicago : NBER and University of Chicago Press.
  4. Bley, J. (2011). Are GCC stock markets predictable ? Emerging Markets Review, 12(3), 217-237.
  5. Campbell, J.Y., Lo, A.W., & MacKinlay, A.C. (1997). The econometrics of financial markets. Princeton, NJ : Princeton University Press.
  6. Charles, A., & Darne, O. (2009).Variance-ratio tests of random walk : An overview. Journal of Economic Surveys, 23(3), 503-527. <a href=https://dx.doi.org/10.1111/j.1467-6419.2008.00570.x target="_blank">https://dx.doi.org/10.1111/j.1467-6419.2008.00570.x</a>
  7. Charles, A., Darne, O., & Kim, J. H. (2011). Small sample properties of alternative tests for Martingale difference hypothesis. Economics Letters, 110(2), 151-154.
  8. Chow, K.V., & Denning, K. C. (1993). A simple multiple variance ratio test. Journal of Econometrics, 58(3), 385-401.
  9. Colletaz, G. (2006). A simple multiple variance-ratio test based on ranks (Working Paper). LEO, University of Orl'eans. Retrieved from <a href=https://halshs.archives-ouvertes.fr/halshs-00007801/document target="_blank">https://halshs.archives-ouvertes.fr/halshs-00007801/document</a>
  10. Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383-417.
  11. Hiremath, G.S., & Kamiah, B. (2010). Some further evidence on the behaviour of stock returns in India. International Journal of Economics and Finance, 2(2), 157-168.
  12. Hiremath, G. S., & Kumari, J. (2014). Stock returns predictability and the adaptive market hypothesis in emerging markets : Evidence from India. Springer Plus, 3(1), 428-442. <a href=https://dx.doi.org/10.1186/2193-1801-3-428 target="_blank">https://dx.doi.org/10.1186/2193-1801-3-428</a>
  13. Hoque, H.A.A.B., Kim, J.H., & Pyun, C.S. (2007). A comparison of variance ratio tests of random walk : A case of Asian emerging stock markets. International Review of Economics and Finance, 16(4), 488-502.
  14. Hung, J.-C., Lee, Y.-H., & Pai, T.-Y. (2009). Examining market efficiency for large-and small-capitalization of TOPIX and FTSE stock indices. Applied Financial Economics, 19(9), 735-744.
  15. Kim, J. H., & Shamsuddin, A. (2008). Are Asian stock markets efficient ? Evidence from new multiple variance ratio tests. Journal of Empirical Finance, 15(3), 518-532.
  16. Lazar, D., Todea, A., & Filip, D. (2012). Martingale difference hypothesis and financial crisis: Empirical evidence from European emerging foreign exchange markets. Economic Systems, 36(3), 338-350. <a href=https://dx.doi.org/10.1016/j.ecosys.2012.02.002 target="_blank">https://dx.doi.org/10.1016/j.ecosys.2012.02.002</a>
  17. Lo, A. W., & MacKinlay, A. C. (1988). Stock market prices do not follow random walks : Evidence from a simple specification test. Review of Financial Studies, 1(1), 41-66.
  18. Lo, A. W. (2004). The adaptive market hypothesis : Market efficiency from an evolutionary perspective. Journal of Portfolio Management, 30, 15-29.
  19. Luger, R. (2003). Exact non-parametric tests for a random walk with unknown drift under conditional heteroskedasticity. Journal of Econometrics, 115(2), 259-276.
  20. Mangala, D., & Lohia, V. (2017). Semi-monthly and turn-of-the-month seasonality in stock returns : Evidence from emerging markets. Indian Journal of Finance, 11(4), 39-52. <a href=https://dx.doi.org/10.17010/ijf/2017/v11i4/112629 target="_blank">https://dx.doi.org/10.17010/ijf/2017/v11i4/112629</a>
  21. Mishra, A., Mishra, V., & Smyth, R. (2015). The random-walk hypothesis on the Indian stock market. Emerging Markets Finance and Trade, 51(5), 879-892. <a href=https://dx.doi.org/10.13140/2.1.3180.2247 target="_blank">https://dx.doi.org/10.13140/2.1.3180.2247</a>
  22. Narayan, P. K., & Smyth, R. (2007). Mean reversion versus random-walk in G7 stock prices: Evidence from multiple trend break unit root tests. Journal of International Markets, Financial Institutions and Money, 17(2), 152-166.
  23. Parthasarathy, S. (2013). Long range dependence and market efficiency: Evidence from the Indian stock market. Indian Journal of Finance, 7(1), 17-25.
  24. Ryaly, V. R., Kumar, R.S.R.K., & Urlankula, B. (2014). A study on weak form of market efficiency in selected Asian stock markets. Indian Journal of Finance, 8 (11), 34-43. DOI: 10.17010/ijf/2014/v8i11/71842
  25. Ryaly, V. R., Raju, G. V. S., & Urlankula, B. (2017). Testing the weak-form market efficiency in the Indian stock market : Evidence from the Bombay Stock Exchange index (BSE) sensex. Indian Journal of Finance, 11 (3), 26-40. <a href=https://dx.doi.org/10.17010/ijf/2017/v11i3/111647 target="_blank">https://dx.doi.org/10.17010/ijf/2017/v11i3/111647</a>
  26. Smith, G. (2009). Martingales in European emerging stock markets: Size, liquidity and market quality. The European Journal of Finance, 15(3), 249-262. <a href=https://dx.doi.org/10.1080/13518470802423262 target="_blank">https://dx.doi.org/10.1080/13518470802423262</a>
  27. Wright, J.H. (2000). Alternative variance-ratio tests using ranks and signs. Journal of Business and Economic Statistics, 18(1), 1-9.
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