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Do Macroeconomic Variables Affect Stock Returns in Brics Markets? An ARDL Approach


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1 Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, India
     

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The Arbitrage Pricing Theory (APT) propounded by Ross in 1976 argued for a variety of macroeconomic variables (sources of systematic risk) in explaining stock returns. In the same vein, this paper examines the relationship between macroeconomic variables (GDP, inflation, interest rate, exchange rate, money supply, and oil prices) and aggregate stock returns in BRICS markets over the period 1995-2014 using quarterly data. We have applied Auto Regressive Distributed Lag (ARDL) model to document such a relationship for individual countries as well as for panel data.

Contrary to general belief, we find that GDP and inflation are not found to be significantly affecting stock returns in most of BRICS markets mainly because Stock returns generally tend to lead rather than follow GDP and inflation. In line with the theory and literature, we find significant negative impact of interest rate, exchange rate and oil prices on stock returns and a positive impact of money supply.

This study would be a valuable addition to the growing body of empirical literature on the subject besides being useful to policy makers, regulators and investment community. Policy makers and regulator should watch out for impact of fluctuations in exchange rate, interest rate, money supply, and oil prices on volatility in their stock markets. Investor can search for arbitrage opportunities in BRICS markets on the basis of these variables but not the basis of GDP or inflation.


Keywords

Macroeconomic Variables, Stock Returns, BRICS, Auto Regressive Distributed Lag (ARDL), Panel Analysis.
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  • Do Macroeconomic Variables Affect Stock Returns in Brics Markets? An ARDL Approach

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Authors

Vanita Tripathi
Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, India
Arnav Kumar
Department of Commerce, Delhi School of Economics, University of Delhi, Delhi, India

Abstract


The Arbitrage Pricing Theory (APT) propounded by Ross in 1976 argued for a variety of macroeconomic variables (sources of systematic risk) in explaining stock returns. In the same vein, this paper examines the relationship between macroeconomic variables (GDP, inflation, interest rate, exchange rate, money supply, and oil prices) and aggregate stock returns in BRICS markets over the period 1995-2014 using quarterly data. We have applied Auto Regressive Distributed Lag (ARDL) model to document such a relationship for individual countries as well as for panel data.

Contrary to general belief, we find that GDP and inflation are not found to be significantly affecting stock returns in most of BRICS markets mainly because Stock returns generally tend to lead rather than follow GDP and inflation. In line with the theory and literature, we find significant negative impact of interest rate, exchange rate and oil prices on stock returns and a positive impact of money supply.

This study would be a valuable addition to the growing body of empirical literature on the subject besides being useful to policy makers, regulators and investment community. Policy makers and regulator should watch out for impact of fluctuations in exchange rate, interest rate, money supply, and oil prices on volatility in their stock markets. Investor can search for arbitrage opportunities in BRICS markets on the basis of these variables but not the basis of GDP or inflation.


Keywords


Macroeconomic Variables, Stock Returns, BRICS, Auto Regressive Distributed Lag (ARDL), Panel Analysis.

References