Long Range Dependence and Market Efficiency: Evidence From the Indian Stock Market

Authors

  •   Srikanth Parthasarathy Assistant Professor, Bharathidasan Institute of Management, Trichy - 14, Tamil Nadu

Keywords:

Long Range Dependence

, Indian Stock Market, Hurst, Market Efficiency

G10

, G14

Abstract

This empirical investigation examines the long memory or long range dependence in the Indian stock market vis-à-vis market efficiency. The researcher examined the daily data of the major indices and large, liquid common stocks using the Rescaled range (R/S) analysis to measure the Hurst exponent using both static and dynamic approach. The researcher evidences significant long range dependence in all the tested indices and many individual stocks. The results are not consistent with weak form efficiency in the Indian stock market. The dynamic approach evidences time dependence and rejects both the notion of evolving efficiency through the passage of time and permanent increase in efficiency subsequent to both market reforms and improved trading practices in the Indian stock market. The results are robust to alternate time domain and frequency domain measures of Hurst exponent.

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Published

2013-01-01

How to Cite

Parthasarathy, S. (2013). Long Range Dependence and Market Efficiency: Evidence From the Indian Stock Market. Indian Journal of Finance, 7(1), 17–25. Retrieved from https://www.indianjournalofcapitalmarkets.com/index.php/IJF/article/view/72148

Issue

Volume 7, Issue 1, January 2013

Section

Articles

References

Aydogan K., Booth G. (1988) . “Are There Long Cycles In Common Stock Returns?†Southern Economic Journal, Vol. 55, Number 1, pp. 141 - 149.

Baillie, R. (1996). "Long Memory Processes and Fractional Integration in Econometrics." Journal of Econometrics, Vol. 73, Number 4, pp. 5-59.

Banerjee, D., Mulligan, R.F. (2010). “A Fractal Analysis of Market Efficiency For Indian Technology Equities.†Indian Journal of Finance, Vol 4, Number 7, pp. 3-9.

Barkoulas, J., Baum, C. (1996). "Long Range Dependence In Stock Returns.†Economic Letters, Vol. 53, Number 1, pp. 253-259.

Barkoulas, J., Baum, C., Travlos, N. (2000a). "Long Memory In The Greek Stock Market." Applied Financial Economics, Vol. 10, Number 2, pp. 177-84.

Beran, J. (1992). “Statistics For Long-Memory Processes.†Vol. 61 of Monographs on Statistics and Applied Probability. Chapman and Hall, New York, 1992.

Cajueiro, D.O., Tabak, B.M. (2004). “Evidence Of Long Range Dependence In Asian Stock Markets: The Role Of Liquidity And Market Restrictions.†Physica A, 342, Number 4, pp. 656 - 664.

Cheung, Y.W., Lai, K.S. (1995). “A Search For Long Memory In International Stock Returns.†Journal of International Money and Finance, Vol. 14, Number 4, pp. 597-615.

Clegg, R. (2006). “A Practical Guide To Measuring Hurst Parameter.†International Journal of Simulation: Systems, Science and Technology, Vol. 7, Number 2, pp. 3 - 14.

Costa, R.L., Vasconcelos, G.L., (2003) . “Long-Range Correlations And Nonstationarity In The Brazilian Stock Marketâ€, Physica A, 329, Number 2, pp. 231-250.

Doukhan, P., Oppenheim, G., and Taqqu, M. (2003) . “Theory And Applications Of Long-Range Dependence.†Birkhäuser, Boston Inc., Boston, MA, 2003: pp. 5-39, pp. 527-577.

Flandrin, P. (1992). "Wavelet Analysis And Synthesis Of Fractional Brownian Motion." IEEE Transactions on Information Theory, Vol. 38, Number 2, pp. 910-917.

Grau-Carles, P. (2000). “Empirical Evidence Of Long Range Correlations In Stock Returns.†Physica A,287, Number 3, pp. 396 - 404.

Greene, T.M., Fielitz, B.D. (1977). “Long Term Dependence In Common Stock Returns.†Journal of Financial Economics, Vol. 4, Number 3, pp. 339-349.

Greene, T.M., Fielitz, B.D. (1979). “The Effect Of Long Term Dependence On Risk Return Models Of Common Stocks.†Operations Research, Vol. 27, Number 5, pp. 944 -982.

Higuchi, T. (1988) . “Approach To An Irregular Time Series On The Basis Of Fractal Theory.†Physica D, Vol. 31, Number 2, pp. 277-283.

Istas, J.; Lang, G. (1994). “Quadratic Variations And Estimation Of The Local Hölder Index Of A Gaussian Process.†Annales de Insitute Henri Poincaré, Vol. 33, Number 4, pp. 407-436.

Karagiannis, T., Faloutsos, M., and Riedi, R.H. (2002) . “Long-Range Dependence: Now You See It, Now You Don't!†IEEE GLOBECOM, Global Internet Symposium, TAIPEI, Date of Conference: 17-21, Nov. 2002, Vol. 1, Number 1, pp. 2165 - 2169.

Lillo, F., Farmer, J.D. (2004). “The Long Memory Of The Efficient Market.†Studies in Nonlinear Dynamics and Econometrics, Vol. 8, Number 3, pp. 1 - 33.

Lipka, J. M., Los, C. A. (2003). “Long Term Dependence Characterstics Of European Stock Indices.†Economics Working Paper Archive, EconWPA, Finance Nº0409044.

Lo, A. W. (1991). “Long-Term Memory In Stock Market Prices.†Econometrica, Vol. 59, Number 5, pp. 1279-1313.

Mandelbrot, B. B. (1969) . “Long - Run Linearity, Locally Gaussian Process, H-Spectra, And Infinite Variances.†International Economic Review, Vol. 10, Number 1, pp. 82 - 111.

Mandelbrot, B. B. (1971). “When Can Price Be Arbitraged Efficiently? A Limit To The Validity Of The Random Walk And Martingale Models.†Review of Economics and Statistics, Vol. 53, Number 1, pp. 225-236.

Mandelbrot, B.B. (1972). “Statistical Methodology for Non-Periodic Cycles: From the Covariance to R/S Analysis.â€Annals of Economic and Social Measurement, Vol.1: Number 3, pp. 259-290.

Nath G.C. (2001). “Long Memory And Indian Stock Market An Empirical Evidence.†National Stock Exchange of India Ltd., Mumbai.

Nawrocki, D. (1995) . "R/S Analysis and Long Term Dependence In Stock Market Indices." Managerial Finance, Vol. 21, Number 7, pp. 78- 91.

Oh, G., Um, C.J., Kim, S. (2006). “Long Term Memory And Volatility Clustering In Daily And High Frequency Price Changes.†http://arxiv.org/pdf/physics/0601174.pdf, accessed on June 22, 2011.

Peng, C. K., Buldyrev, S. V., Simons, M., Stanley, H. E., and Goldberger,A. L. (1994). “Mosaic Organization Of DNA Nucleotides.†Physical Review E, Vol. 49, Number 2, pp. 1685 - 1689.

Rea, W., Oxley, L., Reale, M., and Brown, J., (2009), “Estimators For Long Range Dependence: An Empirical Study.†http://arxiv.org/pdf/0901.0762.pdf, accessed on May 20, 2011.

Sadique, S., Silvapulle, P., (2001). “Long Term Memory In Stock Returns: International Evidence.†International Journal of Finance and Economics, Vol. 6, Number 1, pp. 59-67.

Taqqu, M.S., Teverovsky V., and Willinger W. (1995), “Estimators For Long-Range Dependence: An Empirical Study.†Fractals, Vol. 3, Number 4, pp. 785-788.

Weron, R. (2002) . “Estimating Long Range Dependence: Finite Sample Properties And Confidence Intervals.†Physica A, 312, Number 2, pp. 285 - 299.