Search results

It is generally believed that business spending on capital expenditure tends to decrease as interest rates rise, and vice versa, this is not always the case. The previous literature produces inconclusive results vis-à-vis the interest rate and investment nexus. This study analyzes the responsiveness of investment to changes in high and low levels of interest rates in India through a quantile-based, non-parametric method utilizing annual data from 1980 to 2022.

This study uses Quantile-on-quantile (QQ) technique proposed by Sim and Zhou (2015) to examine the impact of interest rate quantiles on quantiles of investment. In addition, long-term association and the direction of causality are estimated through the Cho et al. (2015) test of quantile cointegration and the Jeong et al. (2012) Granger causality in quantile (GCQ) test, respectively.

The empirical evidence validates that the linkage between investments and interest rate is not consistently negative and varies from quantile to quantile. The study finds a negative impact at median quantiles and a positive impact at extreme higher quantiles. Conversely, the impact at lower quantiles is negligible, which is also observed from quantile cointegration, indicating the presence of a statistically significant association above the median quantiles. Additionally, the study finds one interesting finding that there exists unidirectional causality from investment to interest rates in India rather than other way around.

The study provides significant implications for policymakers as it suggests that during extreme economic conditions, the effectiveness of traditional monetary policy tools to boost capital formation is restricted. Policymakers may consider alternative measures to stimulate investment during these time periods. The study additionally posits that the neoclassical theory of investment may not be readily applicable in emerging economies in its unaltered state, mostly due to the lack of well-developed financial markets.

There is a limited literature available on non-linear linkage between interest rates and investment. The present study adds to the existing knowledge by investigating how investment responds differently to fluctuations in interest rates, while incorporating the complete distribution of both the variables.

The study aims to report empirical evidence on the impact of mandatory adoption of International Financial Reporting Standards (IFRS) in India on the voluntary intellectual capital reporting (ICR) and its value relevance. The study also tests the effect of term-weighting schemes used for information retrieval studies in the domain area of ICR.

The study uses computational linguistics tools to measure ICR by Indian firms in the period 2014–2019. The study developed term frequencies for 23 ICR attributes using bag-of-words methodology from the annual reports. The word counts were used to construct two distinct measures of ICR, quantity and quality, deploying different term-weighting schemes, equal weighting and the term frequency-inverted document frequency (TF-IDF) weighting, respectively. A combination of parametric and non-parametric tests has been employed to examine the different hypothesis.

The quantity of ICR was found to have increased post-IFRS adoption. However, the quality of ICR had fallen significantly, which resulted in the loss of value relevance of ICR. Firms making higher disclosures but of inferior quality experienced suboptimal market returns. Variation in inter-firm ICR has reduced. Size effect and sector effect continue but have attenuated. The study acknowledges the enormous impact of term-weighting schemes, used for information retrieval studies, in the domain area of ICR.

The study strongly adds to the momentum in favour of a formal ICR standard to improve its quality, restore its value relevance and facilitate more effective decision-making where the valuation of a firm is a critical input. The study presages the firms not to make poor-quality disclosures to avoid suboptimal stock performance.

The study sheds light on the impact of the adoption of post-IFRS on ICR in India. The study establishes the effect of term-weighting schemes, used for linguistic studies, in the domain area of ICR and adds to the literature by explaining one of the critical reasons for the dichotomy in ICR trends.