The Price Transmission in European Stock Markets
Abstract
We investigate the dynamic price relationships among ten major stock indexes in Europe before, during and after the recent financial crisis. Using an error-correction model we find that the stock markets are cointegrated with three cointegrating vectors before the crisis and that the markets are cointegrated with only one cointegrating vector during and after the crisis. We further apply directed acyclic graph (DAG) analysis on the contemporaneous correlations innovation matrix to explore the instantaneous transmission pattern. The results show that France and Spain appear to share leadership roles before the crisis while leadership role is less obvious during and after the crisis. We also find a decreasing number of instantaneous casual relationships between the markets after the crisis, indicating that the markets are becoming more independent.Downloads
References
Fisher, R. A. (1921). "On the 'probable error' of a coefficient of correlation deduced from a small sample". Metron. 1: 3–32.
Francis, B., and L. Leachman. "Superexogeneity and the Dynamic Linkages among International Equity Markets." Journal of International Money and Finance, 17, 1998, 475-92.
Glymour, C., and Cooper, G. (1999). Computation, Causation, and Discovery. MIT Press, Cambridge, MA.
Johansen, S. "Estimation and Hypothesis Testing of Cointegration vectors in Gaussian Vector Autoregressive Models." Econometrica, 59, 1991, 1551-80.
Haigh M. S., Nomikos, N. K., and Bessler, D. A. (2004). Integration and causality in the international freight markets:modeling with error correction and directed acyclic graphs. Southern Economic Journal 71, 145–162.
Li, G., J. F. Refalo and L. Wu (2008). "Causality-in-Variance and Causality-in-Mean among European Government Bond Markets." Applied Financial Economics 18(19-21): 1709-1720.
Jayech, S. (2011) The contagion channels of July–August-2011 stock market crash: A DAG-copula based approach, European Journal of Operational Research, Volume 249, Issue 2, 1 March 2016, Pages 631–646.
Masih, R., and A. M. M. Masih. "Long and Short Term Dynamic Causal Transmission amongst International Stock Markets." Journal of International Money and Finance, 20, 2001, 563-87.
Refalo, J. F. (2009). "China's Impact on Price Shocks in the World Oil Markets." Journal of Energy Markets 2(1): 89-113.
Spirtes, P., C. Glymour and R. Scheines (2000). Causation, prediction, and search, Second edition.
Yang, J. and D. A. Bessler (2004). "The International Price Transmission in Stock Index Futures Markets." Economic Inquiry 42(3): 370-386.
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