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The study aims to identify the impact of monetary policy tools on the performance of banks in India, and this could be an excellent suggestion to the regulators in framing the favourable interest rates which would meet the macroeconomic objectives of the Indian economy.

The design adopted in this study is descriptive and analytical research. Correlation and regression analysis is used to determine the relationship between bank rate (BR) and the performance of public sector banks in India. The sample chosen for this study is the public sector banks actively performing in India.

The performance is measured by taking three factors, and they are deposits, loans and advances (L&A) and total asset value of the banks. All three factors have shown an impact of BR on them during the five years. L&A affected the least amongst the three factors, but the other two were significantly impacted by the change in BR by the Reserve Bank of India. So, there should be a favourable fluctuation in the BR which will bring flexibility in the banking system, and they can perform well in the economy and the central bank also can concentrate on the macro-economic situation in the country.

This paper helps in giving suggestions to the Central bank, researchers, financial institutions to look into the financial performance and monetary policy rates and the central bank also can concentrate on the macro-economic situation in the country.

This study aims to test the validity of the Rajan theory in South Africa and other selected emerging markets (Chile, Peru and Brazil) during the period 1975–2019.

In this study, the researchers used time-series data to estimate a Bayesian Vector Autoregression (BVAR) model with hierarchical priors. The BVAR technique has the advantage of being able to accommodate a wide cross-section of variables without running out of degrees of freedom. It is also able to deal with dense parameterization by imposing structure on model coefficients via prior information and optimal choice of the degree of formativeness.

The results for all countries except Peru confirmed the Rajan hypotheses, indicating that inequality contributes to high indebtedness, resulting in financial fragility. However, for Peru, this study finds it contradicts the theory. This study controlled for monetary policy shock and found the results differing country-specific.

The findings suggest that an escalating level of inequality leads to financial fragility, which implies that policymakers ought to be cautious of excessive inequality when endeavouring to contain the risk of financial fragility, by implementing sound structural reform policies that aim to attract investments consistent with job creation, development and growth in these countries. Policymakers should also be cautious when implementing policy tools (redistributive policies, a sound monetary policy), as they seem to increase the risk of excessive credit growth and financial fragility, and they need to treat income inequality as an important factor relevant to macroeconomic aggregates and financial fragility.