바로가기메뉴

본문 바로가기 주메뉴 바로가기
 
 

logo

  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

A Study on Reversals after Stock Price Shock in the Korean Distribution Industry

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2023, v.21 no.3, pp.93-100
https://doi.org/10.15722/jds.21.03.202303.93
이정환 (한양대학교)
박수규 (한양대학교)
손삼호 (순천향대학교)

Abstract

Purpose: The purpose of this paper is to confirm whether stocks belonging to the distribution industry in Korea have reversals, following large daily stock price changes accompanied by large trading volumes. Research design, data, and methodology: We examined whether there were reversals after the event date when large-scale stock price changes appeared for the entire sample of distributionrelated companies listed on the Korea Composite Stock Price Index from January 2004 to July 2022. In addition, we reviewed whether the reversals differed depending on abnormal trading volume on the event date. Using multiple regression analysis, we tested whether high trading volume had a significant effect on the cumulative rate of return after the event date. Results: Reversals were confirmed after the stock price shock in the Korean distribution industry and the return after the event date varied depending on the size of the trading volume on the event day. In addition, even after considering both company-specific and event-specific factors, the trading volume on the event day was found to have significant explanatory power on the cumulative rate of return after the event date. Conclusions: Reversals identified in this paper can be used as a useful tool for establishing a trading strategy.

keywords
Reversals, Large-Price Change, Large-Trading Volume, Overreaction, Drifts

참고문헌

1.

Barron, O. E., Harris, D. G., & Stanford, M. (2005). Evidence that Investors Trade on Private Event Period Information around earnings announcements. The Accounting Review, 80(2), 403- 421.

2.

Bremer, M., & Sweeney, R. J. (1997). Predictable Patterns after Large Stock Price Changes on the Tokyo Stock Exchange. Journal of Financial and Quantitative Analysis, 32(3), 345- 365.

3.

Cox, D. R., & Peterson, C. R. (1994). Stock Returns following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance. Journal of Finance, 49(1), 255-267.

4.

Harris, M., & Raviv, A. (1993). Differences of Opinion Make a Horse Race. Review of Financial Studies, 6(3), 473-506.

5.

Kandel, E., & Pearson, N. (1995). Differential Interpretation of Public Signal and Trade in Speculative Markets. Journal of Political Economy, 103(4), 831-872.

6.

Kim, O., & Verrecchia, R. E. (1997). Pre-Announcement and Event-Period Private Information. Journal of Accounting and Economics, 24(3), 395-419.

7.

Kudryavtsev, A. (2019). The Effect of Trading Volumes on Stock Returns following Large Price Moves. Economic Analysis, 65(220), 85-116.

8.

Lehmann, B. N. (1990). Fads, Martingales and Market Efficiency, Quarterly Journal of Economics, 105(1), 1-28.

9.

Lasfer, M. A., Melnik, A., & Thomas, D. (2003). Stock Price Reaction in Stressful Circumstances: An International Comparison. Journal of Banking and Finance, 27(10), 1959- 1977.

10.

Savor, P. (2012). Stock Returns after Major Price Shocks: The Impact of Information. Journal of Financial Economics, 106(2), 635-659.

11.

Schnusenberg, O., & Madura, J. (2001). Do U.S. Stock Market Indexes over- or Underreact? The Journal of Financial Research, 24(2), 179-204.

12.

Tversky, A., & Kahneman, D. (1973). Availability: A Heuristic for Judging Frequency and Probability. Cognitive Psychology, 5, 207-232.

13.

Zarowin, P. (1989). Short-Run Market Overreaction: Size and Seasonality Effects, Journal of Portfolio Management, 15(3), 26-29.

The Journal of Distribution Science(JDS)