Understanding what drives the capital flows has important policy implications for countries in managing the direction and magnitude of such flows. This paper empirically investigates the main drivers of capital flows into the fast‐growing BRICS countries, in the backdrop of their growing inward capital flows. Employing a fully balanced panel for the period 1995–2015, we focus on, among others, the hitherto commonly untested variables: sovereign credit ratings, economic freedom and ease of doing business ranking of these countries. In searching for the relevant interaction and causality among the drivers of capital flows, we employ the panel Granger causality test to arrive at the policy implications. The results suggest that market size is a significant driver of capital flows. In addition to infrastructure, economic freedom in the host countries, ease of doing business ranking and sovereign credit ratings are the main drivers in the long‐run growth of capital flows.

In this paper we examine the causal relationship between Foreign Direct Investment (FDI) and Growth of the BRICS countries. We employed Industrial Production Index (IPI) as a measure of Economic Growth. The stationarity of the data series are checked using Augmented Dickey Fuller (ADF) Test and tested for the existence of co-integration.  Johansen Co-integration model found that the Brazil alone co-integrated among the selected countries at levels. The Vector Error Correction Model (VECM) employed to trace the existence of long run relationship. The results of VECM found that Growth leads FDI bi-directionally for Brazil, Russia and South Africa and FDI leads Growth uni-directionally for India and China respectively.

This study examines the impact of Weather factors on return and volatility of the Indian stock market. The study uses the daily data of top four metros and tests its impact on the return and volatility of S&P CNX Nifty index from January 2008 to December 2013. This study applies GARCH (1, 1) model and find that the stock returns are influenced by temperature in Chennai and the stock return volatility influenced by the temperature in Mumbai, Delhi and Kolkata.

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