PurposeThe present study examines the long-run and short-run effects of monetary factors (money supply, interest rate, inflation and foreign currency exchange rate) on the Indian stock market.Design/methodology/approachThe study used sophisticated econometric tools to analyse monthly observations from January 1993 to December 2019.FindingsThe augmented Dickey–Fuller (ADF) test indicates that the variables involved in the present study are either I(0) or I(1). The Bai–Perron test multiple break point test identifies four breakpoint dates in the Indian stock market index series. The breakpoint dates are incorporated as different dummy variables in the autoregressive distributed lag-error correction model (ARDL-ECM) regression. The F-bounds test reveals that the variables in the study are cointegrated within the time period under consideration. This study’s findings show that the interest rate, which is a proxy for monetary policy instrument, and the foreign currency exchange rate have a negative impact on the Indian stock market. Furthermore, the authors find that structural changes significantly affect the performance of Indian stock market.Practical implicationsThe study's outcomes indicate that economic factors should be taken into account by investors and portfolio managers when formulating long-term investment strategies. The government, through the Reserve Bank of India, should exercise caution in avoiding discretionary actions that could increase interest rates since the flow of funds to the stock market will be disrupted. To reduce risk, investors should keep a close eye on how interest rates and foreign exchange rates are rising.Originality/valueThe study covers a long period of time, which the majority of previous work did not consider. Furthermore, the study uses different dummy variables in the ARDL model to represent structural breaks (as determined by the Bai–Perron multiple break point test).

The present article applies event study methodology in an attempt to investigate the impact of the announcement of 3-month moratorium by Reserve Bank of India on Indian public sector bank equity returns. For the present study, the estimation period is considered to be 120 trading days while the event window is considered to be 21 trading days. To compute the expected returns, the study uses a single-index model or the market model proposed by Fama [Fama, E., 1976. Foundations of finance. Basic Books]. The findings of the study suggest that the market responded to the news relating to the liquidity infusion by the Reserve Bank of India, falling global indices, development of potential coronavirus vaccine, and the announcement of 3 weeks period lockdown. The study further concluded that the market anticipated that the government may announce loan moratorium since industry bodies like The Associated Chambers of Commerce and Industry of India and The Federation of Indian Chambers of Commerce and Industry have recommended loan moratorium in order to safeguard the business enterprises especially the micro-, small- and medium-enterprise sector. Thus, the adjustment in the bank stock prices occurred before the announcement of the 3-month loan moratorium and as a consequence the average annual return on day ED-0 is found to be insignificant.

Understanding the effect of domestic macroeconomic forces on equity market is essential since macroeconomic forces have a systematic effect on the equity market returns. The present study uses monthly observations from India for the period from January 2012 to December 2019 to investigate the long-run and short-run relationship between the domestic macroeconomic forces and equity market. The study employed the autoregressive distributed lag (ARDL) bounds testing approach and pair-wise granger causality test to attain the objective. The long-run empirical results indicated that the Indian equity market and the domestic macroeconomic forces are cointegrated. The long-run coefficients of foreign exchange rate and money supply are found to be significant. The short-run coefficients suggest that money supply, inflation and foreign exchange rate significantly influence the Indian equity market. The study also observed the presence of feedback mechanism between foreign exchange rate and Indian equity market. The study provides the policy and managerial implications.

The present study investigates the effect of changes in money supply on both Indian stock market sensitive index and stock market overall capitalization by employing unit root test with break point, Johansen’s cointegration test, vector error correction (VEC) model, VEC Granger causality test, variance decomposition, and impulse response function. The result of the unit root test reveals that all the variables are nonstationary in levels but become stationary at the first-order difference. The unit root test further reveals that there are structural breaks in the mid-1990s or 2000s. The Johansen’s cointegration test reveals that the Indian stock market index and stock market capitalization are individually cointegrated with money supply. Further, the long-run co-movement between the Indian stock market and money supply and stock market capitalization and money supply is found to be positive. The results of the VEC model shows that the error correction term in the lnSENSEX–lnMS model is negative and statistically significant, while the error correction term in the lnMARCAP–lnMS model is found to be insignificant. The VEC Granger causality test shows that there is no short-run causal relationship between the variables. The variance decomposition indicates that both Indian stock market index and stock market capitalization are strongly exogenous. The impulse response function suggests that money supply has an immediate positive effect on both Indian stock market index and stock market capitalization. The investors and fund managers should take investment decisions keeping in view the positive co-movement of Indian stock market performance and broad money supply. The study recommends that the government should avoid aggressive tightening of money supply.

The present study examined the impact of the green policies announced during 2014 to 2020 on securities prices of firms constituting BSE Industrial index, by employing event study methodology. The study grouped the securities and observed that the announcements of the green policies did not impact the securities in group A, B and T. Further, on observing the impact of the individual events, the study found that the events having least binding at firm level has positive impact, whereas events with mandatory binding negatively impacted the returns. At sectoral level, the entire sectors except FMCG, Energy and Consumer Durables welcomed the green policies announcement positively.