Examining mean-volatility spillovers across national stock markets

Authors

  • Vinodh Kesavaraj Natarajan Department of Management Studies, Narayanaguru College of Engineering, Anna University Chennai, Tamilnadu, India
  • Azariah Robert Raja Singh Department of Management Studies, Narayanaguru College of Engineering, Anna University Chennai, Tamilnadu, India
  • Nagarajan Chidham Priya Scott Christian College (Autonomous), Manonmaniam Sundaranar University, Tamilnadu, India

Keywords:

Stock market index, Volatility, Spillovers, GARCH-M model

Abstract

The study of the stock market in a country and the understanding of the influence of stock market crashes within and across the markets has been the subject matter of many researches, academicians and analysts during recent times. In this study we investigate the mean-volatility spillover effects that happen across international stock markets. The study, by taking into consideration the stock market returns based on various indices, investigates the mean-volatility spillover effects using the GARCH in Mean model for the period January 2002 to December 2011. The GARCH-M model seeks to provide useful insights into how information is transmitted and disseminated across stock markets. In particular, the model examines the precise and separate measures of return spillovers and volatility spillovers. The analysis provides the evidence of strong mean and volatility spillover across some stock exchanges.

DOI: http://dx.doi.org/10.1016/j.jefas.2014.01.001

Downloads

Download data is not yet available.

References

Agmon, T. (1972). The relations among equity markets: A study of share price comovements in the United States, United Kingdom, Germany and Japan. The Journal of Finance, 27, 839–855.

Chan, L., Lien, D., & Weng, W.(2008). Financial interdependence between Hong Kong and the US: A band spectrum approach. International Review of Economics and Finance, 17, 507–516.

Engle, R. F. (1982). A general approach to lagrange multiplier model diagnostics. Journal of Econometrics, Elsevier, 20(1), 83–104.

Engle, R. F., & Patton, A. J. (2001). What good is a volatility model? Quantitative Finance, 1, 237–245.

Eun, C., & Shim, S. (1989). International transmission of stock market movements. Journal of Financial and Quantitative Analysis, 24, 241–256.

Hamao, Y., Masulis, R. W., & Ng, V. (1990). Correlations in price changes and volatility across international stock markets. The Review of Financial Studies, 3, 281–307.

Hilliard, J. E. (1979). The relationship between equity indices on world exchanges. The Journal of Finance, 34, 103–114.

King, M. A., & Wadhwani, S. (1990). Transmission of volatility between stock markets. The Review of Financial Studies, 3, 5–33.

Li, H. (2007). International linkages of the Chinese stock exchanges: A multivariate GARCH analysis. Applied Financial Economics, 17, 285–297.

Liu, A. Y., & Pan, M. S. (1997). Mean and volatility spillover effects in the U.S. and Pacific-basin stock markets. Multinational Finance Journal, Camden, 1, 47–62.

Panton, D. B., Lessig, V. P., & Joy, O. M. (1976). Co-movement of international equity markets: A taxonomic approach. The Journal of Financial and Quantitative Analysis, 11, 415–432.

Ripley, D. M. (1973). Systematic elements in the linkage of national stock market indices. The Review of Economics and Statistics, 55, 356–361

Downloads

Published

2014-06-30

How to Cite

Natarajan, V. K., Raja Singh, A. R., & Chidham Priya, N. . (2014). Examining mean-volatility spillovers across national stock markets. Journal of Economics, Finance and Administrative Science, 19(36), 55–62. Retrieved from https://revistas.esan.edu.pe/index.php/jefas/article/view/197

Issue

Section

Artículos