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Purpose This paper aims to examine the dynamic interactions between monetary and financial variables in the Indian context. Design/methodology/approach In this paper, the authors have applied a recently developed asymmetric autoregressive distributed lag (ARDL) model by Shin et al. (2014), for detecting nonlinearities focusing on the long-run and short-run asymmetries among economic variables. Findings The results point toward the presence of asymmetric reaction of stock prices to changes in interest rate and exchange rate in full sample, as well as in pre-crisis. However, no asymmetry was found in the post-crisis period. The results further suggest that tight monetary policies appear to retard the stock prices, more than easy monetary policies that stimulate them. Practical implications The findings of the study can be helpful in understanding the policy transmission mechanism through asset price channel. Originality/value To the best of the authors’ knowledge, this is the first study that examines the interactions between monetary and financial variables in the Indian context in an asymmetric framework. The findings of this study are quite interesting and are different from several existing studies in the literature.

The study empirically examines correlation and volatility transmission across international stock markets by employing Bivariate GARCH model. The study uses weekly data for five major stock indices such as S&P 500(USA), BSE 30 sensex (India), FTSE 100(U.K), Nikkei 225(Japan) and Ordinary Share Price Index (Australia) from 30 th January, 1998 to 30 th July, 2011. Long run and short run integrations are investigated through Johansen cointegration and vector error correction models respectively. The results of Johansen test show that long run co-integration is found across international stock indices prices. Further, results suggest that the arrival of external news is simultaneously received by US and Japan stock markets and then transmitted to other Asian and European stock markets. The results of bivariate GARCH model reveal that there is a bidirectional volatility spillover between US and Indian stock markets. This is due to fact that these two economies are strongly integrated through international trade and investment. Finally, results show that a unidirectional volatility spillover from Japan and United Kingdom to India.

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This study examines the relationship between fiscal decentralization and economic growth in the case of India using panel data for 14 nonspecialized states for the period 1981-2014. The results revealed from panel cointegration, and dynamic ordinary least squares (DOLS) framework indicate that spending decentralization has a positive and significant impact on the state domestic product. On the other hand, revenue decentralization has a negative and significant effect on state domestic product. The overall measure of fiscal decentralization is found positively associated with the state income. This study is consistent with the divergence hypothesis in opposite to convergence hypothesis of Oates (1972).