Convergence to market efficiency of top gainers
This study investigates the convergence process toward efficiency of daily top gainers. The convergence process toward efficiency is much clearer as a result of using a GARCH(1,Â 1) model compared to the OLS model, and exhibits a monotonic decline as the time interval increases. The relationship between volatility and order imbalances is, however, not strong enough, suggesting that market makers do have the capability to reduce price volatility. This study develops an imbalance-based trading strategy, which earns a positive profit but fails to outperform the buy-and-hold strategy (i.e., open-to-close returns). A nested causality approach, which examines the dynamic return-order imbalance relationship during the price-formation process, confirms the results.
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- Chakrabarty, Bidisha & Li, Bingguang & Nguyen, Vanthuan & Van Ness, Robert A., 2007. "Trade classification algorithms for electronic communications network trades," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3806-3821, December.
- Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2005. "Evidence on the speed of convergence to market efficiency," Journal of Financial Economics, Elsevier, vol. 76(2), pages 271-292, May.
- Rachev, Svetlozar & Jasic, Teo & Stoyanov, Stoyan & Fabozzi, Frank J., 2007. "Momentum strategies based on reward-risk stock selection criteria," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2325-2346, August.
- Darrat, Ali F. & Zhong, Maosen & Cheng, Louis T.W., 2007. "Intraday volume and volatility relations with and without public news," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2711-2729, September.
- YongChern Su & HanChing Huang, 2008. "Dynamic causality between intraday return and order imbalance in NASDAQ speculative top gainers," Applied Financial Economics, Taylor & Francis Journals, vol. 18(18), pages 1489-1499.
- Aktas, Nihat & de Bodt, Eric & Van Oppens, Hervé, 2008. "Legal insider trading and market efficiency," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1379-1392, July.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Chen, Chung & Wu, Chunchi, 1999. "The dynamics of dividends, earnings and prices: evidence and implications for dividend smoothing and signaling," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 29-58, January.
- Visaltanachoti, Nuttawat & Yang, Ting, 2010. "Speed of convergence to market efficiency for NYSE-listed foreign stocks," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 594-605, March.
- Chordia, Tarun & Subrahmanyam, Avanidhar, 2004. "Order imbalance and individual stock returns: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 72(3), pages 485-518, June.
- Durham, J. Benson, 2001. "Sensitivity analyses of anomalies in developed stock markets," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1503-1541, August.
- Brown, Philip & Walsh, David & Yuen, Andrea, 1997. "The interaction between order imbalance and stock price," Pacific-Basin Finance Journal, Elsevier, vol. 5(5), pages 539-557, December.
- Huang, Dayong & Wang, Fang, 2009. "Cash, investments and asset returns," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2301-2311, December.