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There are studies available that study the influence of corruption on economic growth, but no existing literature studies the asymmetric relationship in context to BRICS countries. In this study, we try to fill the gap in the literature by studying the symmetric and asymmetric association between corruption, political stability and economic growth in BRICS economies where gross fixed capital formation and final consumption expenditure are considered additional variables. Further, we employ panel non-linear autoregressive distributed lag model from 1996–2018. In the long run, the non-linear estimation results confirm an asymmetric relationship while all variables show the asymmetric relationship in the short run. Additionally, the study has employed Dumitrescu– Hurlin (2012) test to find the direction of causality among the variables. The test confirms the causality in particular variables taking economic growth as dependent variable and the decomposed explanatory variables. The article’s findings provide new insight into the relationship between corruption, political stability and economic growth. JEL Codes: D73, F35

We examine the spillover effect from the Indian stock market to Mexico, Indonesia, Nigeria and Turkey (MINT) stock markets in order to check if suitable diversification opportunities are available to global portfolio managers investing in India. We apply Granger causality test, vector auto-regression (VAR) and dynamic conditional correlation (DCC)–MGARCH to investigate the level of integration between India and MINT economies. We observe bidirectional causality between India and Nigeria, unidirectional causality in Mexico and Indonesia, while no causality is found between India and Turkey. Our VAR results suggest that none of the MINT economies impact the return of the Indian stock market; rather returns of the Indian stock market are more affected by their own lagged values. Finally, by applying DCC–MGARCH, we observe that there is no volatility spillover from India to any of the MINT economies. We recommend that portfolio managers investing in the Indian economy may explore MINT economies as possible destinations to diversify their risk. Our study has implications for both academia and portfolio managers.