The Role of Macroeconomic Variables on Stock Market Index in China and India

Hosseini, Seyed Mehdi and Ahmad, Zamri and Lai, Yew Wah (2011): The Role of Macroeconomic Variables on Stock Market Index in China and India. Published in: International Journal of Economics and Finance

Abstract

This paper investigates the relationships between stock market indices and four macroeconomics variables, namely crude oil price (COP), money supply (M2), industrial production (IP) and inflation rate (IR) in China and India. The period covers in this study is between January 1999 to January 2009. Using the Augmented Dickey-Fuller unit root test, the underlying series are tested as non-stationary at the level but stationary in first difference. The use of Johansen-Juselius (1990) Multivariate Cointegration and Vector Error Correction Model technique, indicate that there are both long and short run linkages between macroeconomic variable and stock market index in each of these two countries.

• Item Type: MPRA Paper
• Language: English
• Keywords: Crude oil price; money supply; Industrial production; Inflation rate; Stock market index
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q40 - General

References

Abugri, B. A. (2008). Empirical relationship between macroeconomic volatility and stock returns: Evidence from Latin American markets. International Review of Financial Analysis, 17(2), 396-410.

Apergis, N., & Eleftheriou, S. (2002). Interest rates, inflation, and stock prices: the case of the Athens Stock Exchange. Journal of Policy Modeling, 24(3), 231-236.

Asprem, M. (1989). Stock prices, asset portfolios and macroeconomic variables in ten European countries. Journal of Banking & Finance, 13(4-5), 589-612.

Binswanger, M. (2004). How important are fundamentals?--Evidence from a structural VAR model for the stock markets in the US, Japan and Europe. Journal of International Financial Markets, Institutions and Money, 14(2), 185-201.

Boyd, J. H., Levine, R. et al. (2001). The impact of inflation on financial sector performance. Journal of Monetary Economics, 47(2), 221-248.

Bulmash, S. B., & Trivoli, G. W. (1991). Time-lagged interactions between stock prices and selected economic variables. Journal of Portfolio Management (SUMMER 1991).

Boucher, C. (2006). Stock prices-inflation puzzle and the predictability of stock market returns. Economics Letters, 90(2), 205-212.

Campbell, J. Y., Lettau, M., Malkiel, B. G., & Xu, Y. (2001). Have individual stocks become more volatile? An empirical exploration of idiosyncratic risk. Journal of Finance, 56(1), 1-43.

Cong, R.-G., Wei, Y.-M., Jiao, J.-L., & Fan, Y. (2008). Relationships between oil price shocks and stock market: An empirical analysis from China. Energy Policy, 36(9), 3544-3553.

Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association, 74(366), 427-431.

Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: Journal of the Econometric Society, 49(4), 1057-1072.

Download entire World Economic Outlook database. Retrieved September 25, 2010, from International Monetary Fund website: http://www.imf.org/external/pubs/ft/weo/2010/01/weodata/download.aspx

Du, D. (2006). Monetary policy, stock returns and inflation. Journal of Economics and Business, 58(1), 36-54.

Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: Journal of the Econometric Society, 55(2), 251-276.

Energy Profile of China. (2009). Retrieved September 25, 2010, from Energy Information Administration: Official Energy Statistics from the U.S. Government website: http://www.eia.doe.gov/cabs/china/Profile.html

Energy Profile of India. (2009). Retrieved September 25, 2010, from Energy Information Administration: Official Energy Statistics from the U.S. Government website: http://www.eia.doe.gov/cabs/India/Profile.html

Ewing, B. T., & Thompson, M. A. (2007). Dynamic cyclical comovements of oil prices with industrial production, consumer prices, unemployment, and stock prices. Energy Policy, 35(11), 5535-5540.

Fama, E. F. (1981). Stock Returns, Real Activity, Inflation, and Money. American Economic Review, 71(4), 545–565.

Gallagher, L. A., & Taylor, M. P. (2002). The stock return-inflation puzzle revisited. Economics Letters, 75(2), 147-156.

Geske, R., & Roll, R. (1983). The fiscal and monetary linkage between stock returns and inflation. Journal of Finance, 1-33.

Gogineni, S. (2008). The Stock Market Reaction to Oil Price Changes. SSRN.

Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of economic dynamics and control, 12(2/3), 231-254.

Johansen, S., & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration with applications to the demand for money. Oxford Bulletin of Economics and statistics, 52(2), 169-210.

Kim, K.-h. (2003). Dollar exchange rate and stock price: evidence from multivariate cointegration and error correction model. Review of Financial Economics, 12(3), 301-313.

Lastrapes, W. D., & Selgin, G. (1995). The liquidity effect: Identifying short-run interest rate dynamics using long-run restrictions. Journal of Macroeconomics, 17(3), 387-404.

Malkiel, B. G. (1982). Risk and return: A new look, National Bureau of Economic Research Cambridge, Mass., USA.

Maysami, R. C., & Koh, T. S. (2000). A vector error correction model of the Singapore stock market. International Review of Economics & Finance, 9(1), 79-96.

Mookerjee, R., & Yu, Q. (1997). Macroeconomic variables and stock prices in a small open economy: The case of Singapore. Pacific-Basin Finance Journal, 5(3), 377-388.

Mukherjee, T. K., & Naka, A. (1995). Dynamic relations between macroeconomic variables and the Japanese stock market: an application of a vector error correction model. Journal of Financial Research, 18, 223-223.

Nandha, M., & Faff, R. (2008). Does oil move equity prices? A global view. Energy Economics, 30(3), 986-997.

Nasseh, A., & Strauss, J. (2000). Stock prices and domestic and international macroeconomic activity: a cointegration approach. The Quarterly Review of Economics and Finance, 40(2), 229-245.

Nelson, C. R. (1976). Inflation and rates of return on common stocks. Journal of Finance, 31(2), 471-483.

Omran, M., & Pointon, J. (2001). Does the inflation rate affect the performance of the stock market? The case of Egypt. Emerging Markets Review, 2(3), 263-279.

Park, J., & Ratti, R. A. (2008). Oil price shocks and stock markets in the U.S. and 13 European countries. Energy Economics, 30(5), 2587-2608.

Peebles, G., & Wilson, P. (1996). The Singapore Economy, Cheltenham: Edward Elgar.

Pesaran, M. H., Shin, Y. et al. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289-326.

Rogalski, R. J., & Vinso, J. D. (1977). Stock Returns, Money Supply and the Direction of Causality. The Journal of Finance, 32(4), 1017-1030.

Rozeff, M. S. (1974). The Money Supply and The Stock Market, SSRN.

Sadorsky, P. (2001). Risk factors in stock returns of Canadian oil and gas companies. Energy Economics, 23(1), 17-28.

Sadorsky, P. (2008). Assessing the impact of oil prices on firms of different sizes: Its tough being in the middle. Energy Policy, 36(10), 3854-3861.

Stock, J. H., Watson, M. W. et al. (1989). Interpreting Evidence on Money-Income Causality. Journal of Econometrics, 161-182.

Stock, J. H., & Watson, M. W. (1993). A simple estimator of cointegrating vectors in higher order integrated systems. Econometrica: Journal of the Econometric Society, 61(4), 783-820.

Weidenmier, M., Davis, J. H. et al. (2008). Is Sugar Sweeter at the Pump? The Macroeconomic Impact of Brazil's Alternative Energy Program. NBER Working Paper.

Wongbangpo, P., & Sharma, S. C. (2002). Stock market and macroeconomic fundamental dynamic interactions: ASEAN-5 countries. Journal of Asian Economics, 13, 27-51.

World Development Indicators. Retrieved September 25, 2010, from World Bank website: http://data.worldbank.org/data-catalog