Short-term Overreaction in American Depository Receipts
DOI:
https://doi.org/10.47743/saeb-2020-0023Keywords:
American Depository Receipts, overreaction, market efficiency, short-term reversalAbstract
In this paper we examine for the first time the short-term predictability of American Depository Receipts (ADRs) in reaction to extreme price movements. Based on an analysis of 2,911 extreme price movements that took place within either normal trading hours or after-hours in the period 2001-2019, we conclude that those extreme returns were on average followed by significant reversals. This response represents an overreaction in prices, which challenges the weak version of the efficient market hypothesis. Price reversals are especially pronounced following extreme returns observed during after-hours, which lends support to the assertion that ADR markets are particularly inefficient during this trading period. These findings carry important implications for both market practitioners and regulators.
JEL Codes - G11; G14; G15
References
Alldredge, D. M., Blau, B. M., and Brough, T. J., 2012. Short selling after hours. Journal of Economics and Business, 64(6), 439-451. http://dx.doi.org/10.1016/j.jeconbus.2012.07.001
Amini, S., Hudson, R., and Keasey, K., 2010. Stock return predictability despite low autocorrelation. Economics Letters, 108(1), 101-103. http://dx.doi.org/10.1016/j.econlet.2010.04.031
Barclay, M. J., and Hendershott, T., 2003. Price Discovery and Trading after Hours. Review of Financial Studies, 16(4), 1041-1073. http://dx.doi.org/10.1093/rfs/hhg030
Barclay, M. J., and Hendershott, T., 2004. Liquidity Externalities and Adverse Selection: Evidence from Trading after Hours. The Journal of Finance, 59(2), 681-710. http://dx.doi.org/10.1111/j.1540-6261.2004.00646.x
Benou, G., 2003. Market Underreaction to Large Stock Price Declines: The Case of ADRs. Journal of Behavioral Finance, 4(1), 21-32. http://dx.doi.org/10.1207/S15427579JPFM0401_04
Bouges, J. C., Jain, R., and Puri, Y. R., 2009. American depository receipts and calendar anomalies. Applied Financial Economics, 19(1), 17-25. http://dx.doi.org/10.1080/09603100701748949
Braga-Alves, M. V., 2018. Political risk and the equity trading costs of cross-listed firms. The Quarterly Review of Economics and Finance, 69, 232-244. http://dx.doi.org/10.1016/j.qref.2018.03.004
Brown, K. C., Harlow, W. V., and Tinic, S. M., 1993. The Risk and Required Return of Common Stock following Major Price Innovations. The Journal of Financial and Quantitative Analysis, 28(1), 101-116. http://dx.doi.org/10.2307/2331153
Brown, S. J., and Warner, J. B., 1980. Measuring Security Price Performance. Journal of Financial Economics, 8(3), 205-258. http://dx.doi.org/10.1016/0304-405X(80)90002-1
Chen, C.-H., Yu, W.-C., and Zivot, E., 2012. Predicting stock volatility using after-hours information: Evidence from the NASDAQ actively traded stocks. International Journal of Forecasting, 28(2), 366-383. http://dx.doi.org/10.1016/j.ijforecast.2011.04.005
Davis, S., Madura, J., and Marciniak, M., 2009. Performance and Risk Among Types of Exchange-Traded Funds During the Financial Crisis. ETFs and Indexing(Fall), 182-188.
De Bondt, W. F. M., and Thaler, R. H., 1985. Does the Stock Market Overreact? The Journal of Finance, 40(3), 793-805. http://dx.doi.org/10.1111/j.1540-6261.1985.tb05004.x
De Bondt, W. F. M., and Thaler, R. H., 1987. Further Evidence on Investor Overreaction and Stock Market Seasonality. The Journal of Finance, 42(3), 557-581. http://dx.doi.org/10.1111/j.1540-6261.1987.tb04569.x
Demirer, R., Kutan, A. M., and Zhang, H., 2014. Do ADR investors herd? Evidence from advanced and emerging markets. International Review of Economics & Finance, 30, 138-148. http://dx.doi.org/10.1016/j.iref.2013.10.006
Diacogiannis, G. P., Patsalis, N., Tsangarakis, N. V., and Tsiritakis, E. D., 2005. Price limits and overreaction in the Athens stock exchange. Applied Financial Economics, 15(1), 53-61. http://dx.doi.org/10.1080/09603100412331313587
Fuertes, A. M., and Thomas, D. C., 2006. Large market shocks and abnormal closed-end-fund price behavior. Journal of Banking & Finance, 30(9), 2517-2535. http://dx.doi.org/10.1016/j.jbankfin.2005.10.008
Fung, A. K., Mok, D. M. Y., and Lam, K., 2000. Intraday price reversals for index futures in the US and Hong Kong. Journal of Banking & Finance, 24(7), 1179-1201. http://dx.doi.org/10.1016/S0378-4266(99)00072-2
Hamelink, F., 2003. Systematic patterns before and after large price changes: Evidence from high frequency data from the Paris Bourse. Journal of Forecasting, 22(6-7), 533-549. http://dx.doi.org/10.1002/for.874
Jain, A., Jain, C., and Jiang, C., 2019. Early Movers Advantage? Evidence from Short Selling during After-Hours on Earnings Announcement Days. Financial Review, 54(2), 235-264. http://dx.doi.org/10.1111/fire.12174
Jiang, C. X., Likitapiwat, T., and McInish, T. H., 2012. Information Content of Earnings Announcements: Evidence from After-Hours Trading. Journal of Financial and Quantitative Analysis, 47(6), 1303-1330. http://dx.doi.org/10.1017/S002210901200049X
Kassimatis, K., Spyrou, S., and Galariotis, E., 2008. Short term patterns in government bond returns following market shocks: International evidence. International Review of Financial Analysis, 17(5), 903-924. http://dx.doi.org/10.1016/j.irfa.2007.06.007
Li, J., 2016. Slow Price Adjustment to Public News in After-Hours Trading. The Journal of Trading, 11(3), 16-31. http://dx.doi.org/10.3905/jot.2016.11.3.016
Lobão, J., 2019. Seasonal anomalies in the market for American depository receipts. Journal of Economics, Finance and Administrative Science, 24(48), 241-265. http://dx.doi.org/10.1108/JEFAS-09-2018-0088
Lobão, J., and Costa, A. I., 2020. Do Fixed-Income ETFs Overreact? Evidence of Short-term Predictability following Extreme Price Shocks. Cuadernos de Economia - Spanish. Journal of Economics and Finance, 42(122), 131-144. http://dx.doi.org/10.32826/cude.v42i122.145
Lobe, S., and Rieks, J., 2011. Short-term market overreaction on the Frankfurt stock exchange. The Quarterly Review of Economics and Finance, 51(2), 113-123. http://dx.doi.org/10.1016/j.qref.2010.12.002
Lou, D., Polk, C., and Skouras, S., 2019. A tug of war: Overnight versus intraday expected returns. Journal of Financial Economics, 134(1), 192-213. http://dx.doi.org/10.1016/j.jfineco.2019.03.011
Mazouz, K., Alrabadi, D. W. H., and Yin, S., 2012. Systematic liquidity risk and stock price reaction to shocks. Accounting and Finance, 52(2), 467-493. http://dx.doi.org/10.1111/j.1467-629X.2011.00403.x
Michayluk, D., and Neuhauser, K. L., 2006. Investor Overreaction during Market Declines: Evidence from the 1997 Asian Financial Crisis. Journal of Financial Research, 29(2), 217-234. http://dx.doi.org/10.1111/j.1475-6803.2006.00175.x
Nam, K., Kim, S. W., and Arize, A., 2006. Mean reversion of short-horizon stock returns: Asymmetry property. Review of Quantitative Finance and Accounting, 26(2), 137-163. http://dx.doi.org/10.1007/s11156-006-7213-0
Neumark, D., Tinsley, P. A., and Tosini, S., 1991. After-Hours Stock Prices and Post- Crash Hangovers. The Journal of Finance, 46(1), 159-178. http://dx.doi.org/10.1111/j.1540-6261.1991.tb03748.x
Otchere, I., and Chan, J., 2003. Short-term overreaction in the Hong Kong stock market: Can a contrarian trading strategy beat the market? Journal of Behavioral Finance, 4(3), 157-171. http://dx.doi.org/10.1207/S15427579JPFM0403_5
Pagan, A. R., and Sossounov, K. A., 2003. A Simple Framework for Analysing Bull and Bear Markets. Journal of Applied Econometrics, 18(1), 23-46. http://dx.doi.org/10.1002/jae.664
Patel, V., and Michayluk, D., 2016. Return predictability following different drivers of large price changes. International Review of Financial Analysis, 45, 202-214. http://dx.doi.org/10.1016/j.irfa.2016.03.004
Pham, V. T. L., Nguyen, D. Q. T., and To, T. D., 2007. Abnormal returns after large stock price changes: Evidence from Asia-Pacific markets. In S. J. Kim and M. D. McKenzie (Eds.), Asia-Pacific financial markets: integration, innovation and challenges, International Finance Review (pp. 205-227): Emerald. http://dx.doi.org/10.1016/S1569-3767(07)00010-6
Raudys, A., Mohr, E., and Schmidt, G., 2013. How (in)efficient is after-hours trading? Paper presented at the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), Singapore.
Richie, N., and Madura, J., 2015. Fragmentation of Day versus Night Markets. Research in Finance, 23, 99-125. http://dx.doi.org/10.1016/S0196-3821(06)23004-1
Rosenthal, L., 1983. An Empirical Test of the Efficiency of the ADR Market. Journal of Banking & Finance, 7(1), 17-29. http://dx.doi.org/10.1016/0378-4266(83)90053-5
Stambaugh, R. F., Jianfeng, Y., and Yuan, Y., 2012. The Short of It: Investor Sentiment and Anomalies. Journal of Financial Economics, 104(2), 288-302. http://dx.doi.org/10.1016/j.jfineco.2011.12.001
Suh, J., 2003. ADRs and US market sentiment. Journal of Investing, 12(4), 87-95. http://dx.doi.org/10.3905/joi.2003.319572
Urrutia, J., and Vu, J., 2006. Empirical evidence of nonlinearity and chaos in the returns of American Depository Receipts. Quarterly Journal of Business and Economics, 45(1-2), 15-30.
Visaltanachoti, N., and Yang, T., 2010. Speed of convergence to market efficiency for NYSE-listed foreign stocks. Journal of Banking & Finance, 34(3), 594-605. http://dx.doi.org/10.1016/j.jbankfin.2009.08.019
Webster, T. J., 1998. American Depositary Receipts, Listing and Market Efficiency: Three Case Studies. The Mid-Atlantic Journal of Business, 34(3), 273-293.
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