Comparing the Volatility of Returns in Indian and Chinese Information Technology Sector
##plugins.themes.bootstrap3.article.main##
Abstract
The growth in Indian and Chinese economies has been attributed to major reforms in the modus
operandi of the capital market of the two economies. The stock market performance of the two
leading economies of Asia has been a topic of discussion globally; especially after 2008. In the
present research, the researcher has compared the performance and stock market volatility of
Indian and Chinese I.T. Indices Returns during 2004 to 2017 i.e. thirteen years. Information
Technology sector forms one of the major industries of any economy and contributes to the GDP
of that economy as well. Present study uses advance econometric tools like ADF test to study
stationarity, statistical tools to compare performance and Garch (1,1) model to study the volatility
pattern of the I.T. sector indices of the two economies. The results were calculated on E-Views 8
software
References
• Akgiray, V. (1989).Conditional Heteroscedasticity in Time series of Stock Returns: Evidence and For casts. The Journal of Business, 62, 55-80.
• Andersen, T. G., Bollerslev, T., & Diebold, F. X. (2007). Roughing It up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility. The Review of Economics and Statistics, 89(4), 701-720.
• Birãu, R., & Trivedi, J. (2013). Modeling Return Volatility of Bric Emerging Stock Markets Using Garch Family Models. Indian Journal of Applied Research, 3(11), 119-121.
• Bollerslev, T., Ray, Y. C., & Kroner, K. F. (1992). ARCH modeling in Finance. Journal of Econometrics, 52, 5-59.
• Chan, L.K.C., J. Karceski& J. Lakonishok (1998). The Risk and Return from Factors, Journal of Financial and Quantitative Analysis, 33, 159 – 188.
• Engle, R. F., & NG, V. K. (1993). Measuring and Testing the Impact of News on Volatility. The Journal of Finance, 48(5), 1749-1778.
• Guo, H., & Savickas, R. (2003). Idiosyncratic Volatility, Stock Market Volatility, and Expected Stock Returns . Federal Reserve Bank of St. Louis, Working Paper 2003- 028B.
• Joshi, P. (2010). Modeling Volatility in Emerging Stock markets of India and China. Journal of Quantitative
Economics, 8(1).
• Lei, G. & Kling, G. (2005). Calendar Effects in Chinese Stock Markets. Annals of Economics and Finance, 6(1), 75-88.
• Mahesh chandra, J. P. (2014). Long Memory Volatility of Stock Markets of India and Chin. International Journal of Science and Research, 3(7), 1198-1200.
• Mishra, A., Mishra, V., & Smyth, R. (2014). The Random-Walk Hypothesis on the Indian Stock Market. Discussion Paper 07/14, 1-28.
• Mobarak, A. M. (2005). Democracy, Volatility, and Economic Development. The Review of Economics and Statistics, 87(2), 348-361.
• Raju, M. T., & Ghosh, A. (2004). Stock Market Volatility– An International Comparison. Securities and Exchange Board of India.
• Schwert, W.G. (Dec 1989). Why does stock market volatility change over time? The Journal of Finance, 44(5).
• Then mozhi, M., & Chandra, A. (2013). India Volatility Index (India VIX) and Risk Management in the Indian Stock Market. National Stock Exchange of India, 1-50.
