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Time Varying Efficiency in Indian Sectors: An Event Study on Demonetization

  • Samit PaulEmail author
Original Article
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Abstract

The study examines the level of inefficiency present in three different sectors of India. More specifically, it applies different estimation techniques to measure the level of efficiency across the agriculture, service and manufacturing sectors by choosing twenty stocks from each of them. Since there are multiple industries belonging to a particular sector, capturing the intra-industry differential in their efficiencies is also crucial. Presence of long range dependence and the time-varying efficiency across the industries belonging to different sectors have been tested. Then, the impact of recent macroeconomic event of Demonetization on these industries have been explored using six event windows. The results confirm that the impact of this event on the industry returns are mostly negative and significant. However, the magnitude of impact varies across industries depending on the level of demand uncertainty and their cash dependence. Finally, the robustness of our findings has been checked using fixed effect panel regression which further validates the results of the event study.

Keywords

Efficiency Demonetization Industry Sector 

Notes

Acknowledgement

I would like to acknowledge the significant contribution made by Mr. Ujjawal Ranjan in preparing the initial draft. His skills and hardwork has enriched the quality of the paper.

References

  1. Antoniou, A., N. Ergul, and P. Holmes. 1997. Market efficiency, thin trading and non-linear behaviour: Evidence from an emerging market. European Financial Management 3 (2): 175–190.Google Scholar
  2. Barua, S.K., and V. Raghunathan. 1987. Inefficiency and speculation in the Indian capital market. Vikalpa 12 (3): 53–58.Google Scholar
  3. Bekaert, G. 1995. Market integration and investment barriers in emerging equity markets. World Bank Economic Review 9 (1): 75–107.Google Scholar
  4. Bhattacharya, U., H. Daouk, B. Jorgenson, and C. Kehr. 2000. When an event is not an event: The curious case of an emerging market. Journal of Financial Economics 55 (1): 69–101.Google Scholar
  5. Bhaumik, S.K., N. Driffield, and S. Pal. 2010. Does ownership structure of emerging-market firms affect their outward FDI? The case of the Indian automotive and pharmaceutical sectors. Journal of International Business Studies 41 (3): 437–450.Google Scholar
  6. Bollerslev, T. 1986. Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics 31 (3): 307–327.  https://doi.org/10.1016/0304-4076(86)90063-1.Google Scholar
  7. Breloff, P., and S. Rotman. 2011. An overview of the G2P payments sector in India. In: CGAP.Google Scholar
  8. Brown, K.C., W.V. Harlow, and S.M. Tinic. 1988. Risk aversion, uncertain information, and market efficiency. Journal of Financial Economics 22 (2): 355–385.Google Scholar
  9. Cajueiro, D.O., and B.M. Tabak. 2004. The Hurst exponent over time: Testing the assertion that emerging markets are becoming more efficient. Physica A: Statistical Mechanics and its Applications 336 (3/4): 521–537.Google Scholar
  10. Campbell, J.Y., A.W.C. Lo, and A.C. MacKinlay. 1997. The econometrics of financial markets. New Jersey: Princeton University Press.Google Scholar
  11. Carrington, S. 1992. The remonetisation of the commonwealth of independent states. American Economic Review Papers and Proceedings 82 (2): 22–26.Google Scholar
  12. Clarke, S. 1998. The financial system and demonetization of the economy. Warwick: University of Warwick. https://warwick.ac.uk/#News.
  13. Corazza, M., and A.G. Malliaris. 2002. Multi-fractality in foreign currency markets. Multinational Finance Journal 6 (2): 65–98.Google Scholar
  14. Cutland, N. J., P. E. Kopp, and W. Willinger. 1995. Stock price returns and the Joseph effect: A fractional version of the Black–Scholes model. In Seminar on stochastic analysis, random fields and applications (pp. 327–351). Springer.Google Scholar
  15. Ding, Z., C.W.J. Granger, and R.F. Engle. 1993. A long memory property of stock market returns and a new model. Journal of Empirical Finance 1 (1): 83–106.  https://doi.org/10.1016/0927-5398(93)90006-D.Google Scholar
  16. Eberstadt, N. 2013. Western aid: The missing link for North Korea’s economic revival? In North Korea in transition: Politics, economy, and society, ed. Kyung-Ae Park and Scott Snyder, 119–152. Lanham: Rowman and Littlefield Publishers.Google Scholar
  17. Fama, E.F. 1970. Efficient capital markets: A review of theory and empirical work. Journal of Finance 25 (2): 383–417.Google Scholar
  18. Fama, E.F. 1991. Efficient markets: II. Journal of Finance 46 (5): 1575–1617.Google Scholar
  19. Fama, E.F., L. Fisher, M.C. Jensen, and R. Roll. 1969. The adjustment of stock prices to new information. International Economic Review 10 (1): 1–21.Google Scholar
  20. Fama, E.F., and K.R. French. 1992. The cross-section of expected stock returns. Journal of Finance 47 (2): 427–465.Google Scholar
  21. Fatum, R., and M.M. Hutchison. 2003. Is sterilised foreign exchange intervention effective after all? An event study approach. The Economic Journal 113 (487): 390–411.Google Scholar
  22. Greene, M.T., and B.D. Fielitz. 1977. Long-term dependence in common stock returns. Journal of Financial Economics 4 (3): 339–349.Google Scholar
  23. Gu, F. 2005. Innovation, future earnings, and market efficiency. Journal of Accounting, Auditing and Finance 20 (4): 385–418.Google Scholar
  24. Gunjan, M.S., K. Gupta, and R. Bandyopadhyay. 2012. Financial challenges in the Indian hospitality industry. Worldwide Hospitality and Tourism Themes 4 (2): 163–173.Google Scholar
  25. Hlaing, K.Y. 2005. Myanmar in 2004: Another year of uncertainty. Asian Survey 45 (1): 174–179.Google Scholar
  26. Hurst, H.E. 1951. Long-term storage capacity of reservoirs. Transactions of the American Society of Civil Engineers 116: 770–808.Google Scholar
  27. Jensen, M.C. 1978. Some anomalous evidence regarding market efficiency. Journal of Financial Economics 6 (2/3): 95–101.Google Scholar
  28. Kothari, S.P., and J.B. Warner. 2006. Econometrics of event studies. In Handbook of corporate finance: Empirical corporate finance, ed. B.E. Eckbo, 3–36. North Holland: Elsevier.Google Scholar
  29. Kumar, D., and S. Maheswaran. 2013. Detecting sudden changes in volatility estimated from high, low and closing prices. Economic Modelling 31: 484–491.Google Scholar
  30. Lo, A.W.C. 1991. Long-term memory in stock market prices. Econometrica 59: 1279–1313.Google Scholar
  31. Mandelbrot, B.B. 1971. When can price be arbitraged efficiently? A limit to the validity of the random walk and martingale models. The Review of Economics and Statistics 53 (3): 225–236.Google Scholar
  32. Mandelbrot, B.B. 1997. Fractal and scaling in finance: Discontinuity, concentration, risk. New York: Springer.Google Scholar
  33. Mishra, P.K., K.B. Das, and B.B. Pradhan. 2009. Empirical evidence on Indian stock market efficiency in context of the global financial crisis. Global Journal of Finance and Management 1 (2): 149–157.Google Scholar
  34. Mummolo, J., and E. Peterson. 2018. Improving the interpretation of fixed effects regression results. Political Science Research and Methods 6 (4): 829–835.Google Scholar
  35. Nath, G.C. 2001. Long memory and Indian stock market: An empirical evidence. Mumbai: National Stock Exchange of India Ltd.Google Scholar
  36. Orfila-Sintes, F., and J. Mattsson. 2009. Innovation behavior in the hotel industry. Omega 37 (2): 380–394.Google Scholar
  37. Peress, J. 2010. Product market competition, insider trading, and stock market efficiency. Journal of Finance 65 (1): 1–43.Google Scholar
  38. Peters, E.E. 1991. Chaos and order in the capital markets. A new view of cycle, prices, and market volatility. New York: Wiley.Google Scholar
  39. Rosenberg, B., K. Raid, and R. Lanstein. 1985. Persuasive evidence of market inefficiency. Journal of Portfolio Management 11 (3): 9–17.Google Scholar
  40. Stein, J. 1989. Efficient capital markets, inefficient firms: A model of myopic corporate behavior. Quarterly Journal of Economics 104 (4): 655–669.Google Scholar
  41. Thornhill, S., and R.E. White. 2007. Strategic purity: A multi-industry evaluation of pure vs. hybrid business strategies. Strategic Management Journal 28 (5): 553–561.Google Scholar
  42. Zunino, L., D.G. Pérez, A. Kowalski, M.T. Martín, M. Garavaglia, A. Plastino, and O.A. Rosso. 2008. Fractional Brownian motion, fractional gaussian noise, and Tsallis permutation entropy. Physica A 387 (24): 6057–6068.Google Scholar

Copyright information

© The Indian Econometric Society 2019

Authors and Affiliations

  1. 1.Indian Institute of Management, CalcuttaKolkataIndia

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