A New Perspective to Measuring Interdependence among Stock, Oil and Currency Markets: A Canonical Correlation Analysis
Keywords:canonical correlation analysis, macroeconomic variables, regression
With a view to explaining various seemingly-contrasting results often reported in financial linkages literature, the study investigates the possibility of the existence of more than one unique relationship among stock, oil and currency markets. It also quantified the impact of selected macroeconomic variables on these relationships. Three prominent markets of stock, oil and exchange rates were examined from the United States, United Kingdom and Nigeria. The model adopted was the canonical correlation specification. Canonical solution identified two significant unique association patterns each among US, UK and Nigerian markets, indicating that their linkages vary with time. We also observed that the effect of macroeconomic variables on the link among financial markets vary by country and data frequency. Overall, inflation rates played the most significant role in the linkages among financial markets. The study concluded that the previous results on interdependence among financial markets are not conflicting but rather complimentary as they evidenced the multiple patterns of association among markets.
Aliyu, S. (2009). Stock Prices and Exchange Rate Interactions in Nigeria: An Intra-global Financial Crisis Maiden Investigation. MPRA Paper No. 13283. Munich Personal RePEc Archive.
Amano, R., van Norden, S. (1995). Exchange Rates and Oil Prices. Bank of Canada, Working Paper 8.
Amano, R. and S. van Norden (1998). Exchange Rates and Oil Prices. Review of International Economics, 6(4): 683â€“694.
Ayodeji, S., and Obilade, T. (2016). A Predictive Model for Canonical Correlation Analysis with Implications for the Simple and Multiple Correlations. Theoretical Mathematics and Applications, 6: 99â€“113.
Beckmann, J. and Czudaj, R. (2012). Oil Price and U.S. Dollar Exchange Rates Dynamics, University of Duisburg- Essen, Department of Economics.
Branson, W. (1983). Macroeconomic Determinants of Real Exchange Rate Risk. In Managing Foreign Exchange Rate Risk, edited by R. J. Herring, 33â€“74. Cambridge: Cambridge University Press.
Chen, N., Roll, R. and Ross, S. (1986). Economic Forces and the Stock Market. Journal of Business, 59(3): 383-403.
Chow, E., Lee, W. and Solt, M. (1997). The Exchange Rate Risk Exposure of Asset Returns. Journal of Business, 70: 105â€“123.
Cox, J., Ingersoll, J. and Ross, S. (1985). An Intertemporal General Equilibrium Model of Asset Prices. Econometrica ,53: 363-384.
Dornbusch, R., and Fischer, S. (1980). Exchange Rates and the Current Account. American Economic Review, 70: 960â€“971.
Frankel, J. (1983). Monetary and Portfolio Balance Models of Exchange Rate Determination.â€ In Economic Interdependence and Flexible Exchange Rates, edited by J. S. Bhandari and B. H. Putnam, 84â€“115. Cambridge: MIT Press.
Furman, J. and Stiglitz, J. (1998). Economic crises: Evidence and Insights from East Asia. Brooking Papers on Economic Activity, 2, Brooking Institution, Washington D. C.
Ghosh, S. (2011), Examining Crude Oil Price Exchange Rate Nexus for India during the Period of Extreme Oil Price Volatility. Applied Energy, 88: 1886â€“1889.
Hair, J, Jr., Anderson, R., Tatham, R. and Black, W. (1998). Multivariate Data Analysis, 5th edition, Prentice Hall, Inc.
Hamilton, J. (1983). Oil and the Macroeconomy Since World War II. J. Pol. Econ., 91: 228- 248.
Hamilton, J. (1989), A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica: 57: 357â€“384.
Hotelling, H. (1935). The Most Predictable Criterion. Journal of Experimental Psychology, 26: 139â€“142.
Huang, R., Masulis, R., and Stoll, H. (1996). Energy Shocks and Financial Markets. Journal of Futures Market, 16: 1â€“27.
Klaassen, F. (2005). Long Swings in Exchange Rates: Are They Really in the Data? Journal of Business and Economic Statistics, 23: 87â€“95.
Merton, R. (1973). An Intertemporal Capital Asset Pricing Model. Econometrica, 41: 867-887.
Narayan, K., Narayan, S., Prasad, A. (2008). Understanding the Oil Price-Exchange Rate Nexus for the Fiji Islands. Energy Economics. 30: 2686â€“2696.
Olomola, P. and Adejumo, A. (2006). Oil Price Shock and Macroeconomic Activities in Nigeria. International Research Journal of Finance and Economics, 3: 28â€“34.
Olowe, R. (2007). â€˜The Relationship between Stock Prices and Macroeconomic Factors in the Nigerian Stock Market. African Review of Money, Finance and Banking, 79 â€“ 98.
Poon, S. and Taylor, S. (1991). Macroeconomic Factors and the UK Stock Market. Journal of Business Finance and Accounting, 18(5): 619 â€“ 636.
Ratti, R. and Vespignani, J. (2016). Oil Prices and Global Factor Macroeconomic Variables. Energy Economics, 59: 198â€“212.
Rencher, A. (1998). Multivariate Statistical Inference and Applications, New York, Wiley.
Roll, R. (1992). Industrial Structure and Comparative Behavior of International Stock Indices. Journal of Finance, 47: 3â€“41.
Sadorsky, P. (1999). Oil Price Shocks and Stock Market Activity. Energy Economics, 21: 449-469 .
Salisu, A., Swaray, R.and Oloko, T. (2019). Improving the Predictability of The Oilâ€“US Stock Nexus: The Role of Macroeconomic Variables. Economic Modelling, 76: 153-171.
Stock, J. and Watson, M. (2005). Macroeconomic Forecasting Using Diffusion Indexes. J. Bus. Econ. Stat., 20: 147â€“162.
Tabachnick, B., and Fidell, L. (2007). Using multivariate statistics. 5th ed. Boston: Pearson Education. Inc.
Wei, Y., Qin, S., Li, X., Zhu, S. and Wei, G. (2019). Oil Price Fluctuation, Stock Market and Macroeconomic Fundamentals: Evidence from the China before and after the Financial Crisis. Finance Research Letters, 30(C): 23 â€“ 29.
Zhang, Y., Fan, Y., Tsai, H. and Wei, Y. (2008). Spillover Effect of US Dollar Exchange Rate on Oil Prices. J. Policy Model, 30: 973â€“991.