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포털 검색 강도가 주가 급락에 미치는 영향에 관한 연구

The Effect of Portal Search Intensity on Stock Price Crash

  • Kim, Min-Su (Department of Economics and Finance, Soonchunhyang University) ;
  • Kwon, Hyuk-Jun (Department of IT Finance Management, Soonchunhyang University)
  • 투고 : 2017.04.14
  • 심사 : 2017.05.17
  • 발행 : 2017.05.31

초록

최근 주식의 수익률과 거래량을 설명하는 요인 중 하나로 투자자들의 관심이나 주식관련 정보 전파의 효율성 등이 중요하게 인식되고 있다. 또한 기업관련 정보가 투자자들에게 투명하게 전파되지 않을 때 기업 주가의 급락(crash) 위험을 증가시킨다는 연구 결과들이 축적되고 있다. 본 연구에서는 네이버 트렌드를 이용하여 포털에서의 검색 강도가 증가하는 것이 주식 수익률의 급락에 어떤 영향을 미치는지를 분석하였다. 다양한 주가급락 위험의 측정변수와 검색 강도 측정치를 이용한 분석에서 포털 검색강도가 상대적으로 높은 기업-연도에서 주가 급락의 위험이 감소하는 것으로 관찰되었다. 이러한 결과는 기업 관련 정보 전파가 투자자들에게 효율적으로 이루어지지 않을 때 미래의 주가급락을 초래한다는 논의와 일치하는 결과이다. 또한 이러한 결과는 분석에 발생가능한 내생성을 통제한 후에도 유의하게 성립하는 것으로 관찰되었다.

Recent studies focus on the role of investor attention and transparency in stock-related information in explaining stock return and trading volume. Moreover, recent literatures predict that firm opacity will increase the likelihood of future stock price crashes. In this paper, we investigate, using Naver Trend, the relation between portal search intensity and stock price crash. Using various alternative measures of stock price crash risk and search intensity, we demonstrate that stocks with larger volume of portal search are less likely to experience stock price crashes. These results are consistent with our hypothesis that accumulated firm opacity cause future stock price crash. Finally, our results still hold even after we control for the potential effect of endogeneity in the regression specifications.

키워드

참고문헌

  1. Allerano, M. and Bond, S., "Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations," Review of Economic studies, Vol. 58, pp. 277-297, 1991. https://doi.org/10.2307/2297968
  2. Antweiler, W. and Frank, M. Z., "Is all that talks just noise? The information content of internet stock message boards," Journal of Finance, Vol. 59, pp. 1259-1294, 2004. https://doi.org/10.1111/j.1540-6261.2004.00662.x
  3. Bank, M., Larch, M., and Peter, G., "Googel Search Volume and its influence on liquidity and returns of German Stocks," Financial Markets and Portfolio Management, Vol. 25, pp. 239-264, 2011. https://doi.org/10.1007/s11408-011-0165-y
  4. Barber, B. M. and Odean, T., "All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors," Review of Financial Studies, Vol. 21, pp. 785-818, 2008. https://doi.org/10.1093/rfs/hhm079
  5. Black, F., "Studies of stock price volatility changes," Proceedings of the 1976 Meetings of the American Statistical Association, Business and Economical Statistics Section, pp. 177-181, 1976.
  6. Blanchard, O. J. and Watson, M. W., "Bubbles, rational expectations, and financial Marekts," In Wachtel, P. (Ed.), Crisis in Economics and Financial Structure, Lexington Books, Ma, pp. 295-315, 1982.
  7. Bleck, A. and Liu, X., "Marekt Transparency and the Accounting Regime," Journal of Accounting Research, Vol. 45, pp. 229-256, 2007. https://doi.org/10.1111/j.1475-679X.2007.00231.x
  8. Chen, J., Hong, H., and Stein, J., "Forecasting crashes: Trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economimcs, Vol. 61, pp. 345-381, 2001. https://doi.org/10.1016/S0304-405X(01)00066-6
  9. Christie, A. A., "A stochastic behavior of common stock variances-value, leverage and interest rate effect," Journal of FInancial Economics, Vol. 10, pp. 407-432, 1982. https://doi.org/10.1016/0304-405X(82)90018-6
  10. Da, Z., Engelberg, J., and Gao, P., "In search of attention," Journal of Finance, Vol. 66, pp. 1461-1499, 2011. https://doi.org/10.1111/j.1540-6261.2011.01679.x
  11. French, K. R., Schwert, G. W., and Stambaugh, R. F., "Expected stock returns and volatility," Journal of Financial Economics, Vol. 19, pp. 3-29, 1987. https://doi.org/10.1016/0304-405X(87)90026-2
  12. Hong, H. and Stein, J. C., "Differences of opinion, short-sales constraints, and marekt crashes," Review of Financial Studies, Vol. 16, pp. 487-525, 2003. https://doi.org/10.1093/rfs/hhg006
  13. Hutton, A. P., Marcus, A. J., and Tehranian, H., "Opaque financial reports, $R^2$, and crash risk," Journal of Financial Economics, Vol. 94, pp. 67-86, 2009. https://doi.org/10.1016/j.jfineco.2008.10.003
  14. Jin, L. and Myers, C. S., "$R^2$ around the world: New theory and new tests," Journal of Financial Economics, Vol. 79, pp. 257- 292, 2006. https://doi.org/10.1016/j.jfineco.2004.11.003
  15. Joseph, K., Wintoki, M. B., and Zhang, Z., "Forecasting Abnormal Stock Returns and Trading Volume using Investor Sentiment: Evidence from Online Search," International Journal of Forecast, Vol. 27, pp. 1116-1127, 2011. https://doi.org/10.1016/j.ijforecast.2010.11.001
  16. Kim, J. and Kim, J., "Relationship between Internet Buzz Share and Market Share: Movie Ticket Case," The Journal of Society for e-Business Studies, Vol. 18, No. 2, pp. 241-255, 2015. https://doi.org/10.7838/jsebs.2013.18.2.241
  17. Kim, J. B., Li, Y., and Zhang, L., "Corporate tax avoidance and stock price crash risk: Firm-level analysis," Journal of Financial Econonmics, Vol. 100, pp. 639-662, 2011. https://doi.org/10.1016/j.jfineco.2010.07.007
  18. Kim, M. and Lim, H., "Tax avodicance, information quality and crash risk," The Korean Journal of Financial Management, Vol. 32, No. 1, pp. 35-68, 2015. https://doi.org/10.22510/kjofm.2015.32.1.002
  19. Koo, P. and Kim, M., "A Study on the Relationship between Internet Search Trends and Company's Stock Price and Trading Volume," The Journal of Society for e-Business Studies, Vol. 20, No. 2, pp. 1-14, 2015. https://doi.org/10.7838/jsebs.2015.20.2.001
  20. Lim, H. and Kim, M., "Corporate opacity and crash risk: Evidence from Korean listed firms," Journal of Money & Finance, Vol. 28, No. 3, pp. 35-68, 2014.
  21. Merton, R., "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, Vol. 42, No. 3, pp. 483-510, 1987. https://doi.org/10.1111/j.1540-6261.1987.tb04565.x
  22. Morck, R., Yeung, B., and Yu, W., "The information content of stock markets: why do emerging markets have synchronous stock price movement?," Journal of Financial Economics, Vol. 58, pp. 215-260, 2000. https://doi.org/10.1016/S0304-405X(00)00071-4
  23. Pindyck, R. S., "Risk, inflation, and stock marekt," American Economic Review, Vol. 83, pp. 334-351, 1984.
  24. Takeda, F. and Wakao, T., "Google Search Intensity and Its Relationship with Returns and Trading Volume of Japanese Stocks," Pacific-Basin Finance Journal, Vol. 27, pp. 1-18, 2014. https://doi.org/10.1016/j.pacfin.2014.01.003
  25. Vlastakis, N. and Markellos, R. N., "Information demand and stock market volatility," Journal of Banking and Finance, Vol. 366, pp. 1808-1821, 2012.