Search

The present study aims to empirically analyze the relationship between the growth in money supply and the long-term interest rates in India through the application of efficient market theory. The study uses quarterly data over a period from 2010 to 2023. The advantage of the efficient market approach is that it provides a theoretical structure for explaining the relationship between the money stock and long-term rates. From the evidence, it can be suggested that there is no strong evidence for the view that growth in money supply is negatively correlated with changes in long-term interest rates. The implications of the study depend on the treatment of money supply processes in terms of exogeneity. If the growth in money supply is assumed to be exogenous, then the result of the present study opposes the commonly held view that an increase in the money supply would decrease the long-term interest rate.

AbstractThe study investigates the influence of foreign institutional investment on the risk-return profile of firms. Corporate risk is analyzed as business risk and financial risk in this study. The impact of foreign institutional investor’s (FII) holding on business and financial risk taking behavior is studied on 174 listed non-financial firms in India using panel quantile regression methodology for a span of 20 years which include the pre and post 2008 financial crisis periods as well. Panel fixed effect model was found to be appropriate in this study The impact of FII holding is also studied through the distribution of the risk through panel quantile regression. The impact of FII holding on risk taking behaviour of the firms is studied primarily across high, average and low proportion of corporate risk. Overall FII holding has an inverse relationship with corporate risk taking behavior of firms. The positive impact of FII holding across all types of firms in terms of the risk-return profile indicates that their presence is long term and reduces risk taking behaviour of the corresponding firm. The implications of this study will be significant in regulating FII inflows and outflows to ensure discipline on the part of firm management in improving its risk-return profile.

The present study explores the effectiveness of the credit channel of monetary policy transmission in India from the perspective of magnitude, timing, and composition puzzles. To validate, further investigation of the effectiveness of the balance sheet channel and bank lending channel using the corporate cash flows and interest rate spreads, respectively, has been done. The study employs the structural vector autoregression model using the long-time quarterly series sample period from June 1998 to June 2022. The findings show that the anomalies concerning magnitude, timing, and composition effect do not exhibit a strong presence in the Indian context. The analysis of the weighted average call money rate and coverage ratio suggests a weak presence of the balance sheet channel in India with a weak negative correlation of 0.2943 (p < 0.05). The overall behavior of spread analysis also shows a weak presence of the bank lending channel in India. Although some presence of the bank lending channel is seen on banks’ managed liability side, the effect of external finance premium is not reflected in the lending rates with a correlation of 0.0577 (p > 0.05) between prime lending rate spread and weighted average call money rate spread. From the evidence, the study concludes the weak presence of the credit channel in India. Therefore, the monetary authorities might have to rely on other channels or may devise other unconventional mechanisms like Operation Twist and Long-Term Repo Operations observed during the COVID-19 pandemic to steer the real economy.

The paper examines the impact of a firm’s financial leverage on its investment decisions in the period 2011–2019, which occurred between two financial crises (2008–2010 and 2020–2022) and was globally marked by low interest rates and high leverage. The study focuses on non-financial listed firms in world’s top 13 largest economies consisting of 11 OECD+ countries and two emerging nations. The analysis explores the relationship between firm leverage and investment decisions, considering the growth opportunities and corporate risks of the firms, as well as the type of economy they operate in. The findings indicate that, overall, there is a negative relationship between leverage and investment. In developed nations, such as the OECD+ countries, this negative effect is more pronounced for firms with limited growth opportunities. Contrary to the existing literature, emerging economies exhibit a positive relationship between firm leverage and investment. Specifically, in China and India, firms with low growth opportunities display a stronger positive correlation between leverage and investment. These results suggest that in developed countries, debt continues to have a disciplining effect on firm investment, even in a high liquidity environment. However, in high-growth emerging economies, both firm management and lending institutions show less concern regarding leverage. Lastly, the study finds that firm risk has an adverse impact on investment decisions. These empirical findings highlight the non-uniform nature of the relationship between firm leverage and investment, which depends on the type of economy and the growth opportunities of the firms. AcknowledgmentsThe infrastructural support provided by Management Development Institute, Murshidabad, India and FORE School of Management, New Delhi, India in completing this paper is gratefully acknowledged.

The purpose of the study is to examine the investment style of the large-cap equity mutual funds in India using style-exposure analysis proposed by Sharpe (1992). The study uses the constrained quadratic optimisation factor model over the period January 2011–April 2015. To assess the dynamic drift in the style of a fund, a rolling-period exposure style analysis of the funds has been carried out by using a 36-month rolling-period window. The results of the study show that the fund managers exhibit some level of active management and a good selection capability. Keywords: Return-based style analysis, Rolling-period exposure analysis, Style benchmarks, Large-cap equity mutual funds