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Stock Return, Volume and Volatility in the EGARCH model

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I use EGARCH model to study the asymmetric impact of negative and positive shocks on stock return volatility. I find the asymmetric effects exist and the impact on volatility of a negative shock is greater than that of a positive shock. Furthermore, I examine the dynamic relationship between returns, volume and volatility of stock index by introducing trading volume as an exogenous variable into the EGARCH model. The results indicate that trading volume contributes some information to the returns processes of stock indexes. However, the persistence of volatility remains even after incorporating lagged volume effects, which are proxies for information flow. Granger causality tests demonstrate stronger evidence of returns causing volume than volume causing returns.

Abstract

I use EGARCH model to study the asymmetric impact of negative and positive shocks on stock return volatility. I find the asymmetric effects exist and the impact on volatility of a negative shock is greater than that of a positive shock. Furthermore, I examine the dynamic relationship between returns, volume and volatility of stock index by introducing trading volume as an exogenous variable into the EGARCH model. The results indicate that trading volume contributes some information to the returns processes of stock indexes. However, the persistence of volatility remains even after incorporating lagged volume effects, which are proxies for information flow. Granger causality tests demonstrate stronger evidence of returns causing volume than volume causing returns.

참고문헌 (14)

  1. Black, F., "Business and Economics Statistics Section", pp.177~181 (1976)
  2. Chiang, T., "New evidence on the relation between return volatility and trading volume", Journal of Forecasting, 29, pp.502~515 (2010)
  3. Chou, Ray Y., "Volatility Persistence and Stock Valuations: Some Empirical Evidence Using GARCH", Journal of Applied Econometrics, 3, pp.279~294 (1988)
  4. Day, T., "Stock market volatility and the information content of stock index options", Journal of Econometrics, 52, pp.267~287 (1992)
  5. Dickey, D., "Distribution of the Estimators for Autoregressive Time Series with a Unit Root", Journal of American Statistical Association, 74, pp.427~431 (1979)
  6. Gallant, A., "Stock prices and volume", Review of Financial Studies, 5, pp.199~242 (1992)
  7. Glosten, L., "On the relation between the expected value and the volatility of the nominal excess return on stocks", Journal of Finance, 48, pp.1779~1801 (1993)
  8. Granger, C., "Investigating causal relations by econometric models and cross-spectral methods", Econometrica, 37, pp.424~438 (1969)
  9. Harris, L., "Cross-security tests of the mixture of distributions hypothesis", Journal of Financial and Quantitative Analysis, 21, pp.39~46 (1986)
  10. Karpoff, J., "The Relation Between Price Changes and Trading Volume : A Survey", Journal of Financial and Quantitative Analysis, 22, pp.109~126 (1987)
  11. Lamoureux, C., "Endogenous trading volume and momentum in stock-return volatility", Journal of Business and Economic Statistics, 12, pp.253~260 (1994)
  12. Phillips, P., "Testing for a Unit Root in Time Series Regression", Biometrika, 75, pp.335~346 (1988)
  13. Standard and Poor’s Corporation, "Standard and Poor’s Statistical Service: Security Price Index Record", ~ (1988)
  14. Tauchen, G., "The Price Variability-Volume Relationship on Speculative Markets", Econometrica, 51, pp.485~505 (1983)

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