October' 22
The IUP Journal of Applied Finance
Focus
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Impact of Institutional Investors on Indian Stock Market Performance
The paper analyzes the impact of Foreign Institutional Investors (FIIs) and Domestic Institutional Investors (DIIs), as these are the two primary institutions on which the Indian stock market is dependent. The research design and statistical tools used in the study are: Vector Error Correction Model (VECM), Granger Causality, Variance Decomposition Analysis, and Impulse Response Function. During the Covid-19 pandemic, high volatility was witnessed in the global markets, so it is important to evaluate the behavior of the Indian stock market with respect to the inflows and outflows of institutional investors on a daily basis. The paper concludes that Indian stock market return (Nifty 50) has more significant impact on FIIs, as compared to DIIs (mutual funds).
Predicting Financial Distress Through Liquidity Analysis: A Study of Indian Steel Companies
The recent spate of global crises, including Covid-19 pandemic, Russia-Ukraine war and the Sri Lankan crisis, have hindered the economic growth of almost all nations. The prevailing economic downturn has forced many organizations to assess their financial future and the possibility of financial distress. Financial distress is detrimental to all types of organizations and it is always advisable to avoid it because it creates a tendency for firms to do things that are not in favor of debt holders and non-financial stakeholders, impairing access to credit and deteriorating stakeholder relationships. The objective of this study is to predict the financial distress of firms by analyzing their liquidity position over a period of time and by assessing their working capital management strategy. The purpose is clear: the sooner the detection, the easier it will be for companies to take various preventive measures. If it is possible to find out the situation well in advance, appropriate action can be taken to reverse the process before it is too late. The present study is an attempt to determine the possibility of financial distress in sample companies by analyzing their performance using various financial and statistical techniques. It was conducted by taking a sample of ten Indian steel companies for the period 2017-18 to 2021-22. The data has been analyzed using various financial ratios related to profitability, liquidity, solvency and Motaal's Liquidity Assessment Test and Spearman's Rank Coefficient of Correlation to find out whether companies are compromising their liquidity to increase profitability. The findings show that among the ten selected companies, NMDC has the best liquidity situation and is least prone to facing financial distress.
Behavioral Finance and Future Research Agenda: A Bibliometric Analysis
Behavioral finance is a new paradigm that provides alternatives to the assumptions of traditional finance and articulates investor psychology in investment decision-making. The study seeks to conduct a bibliometric analysis of behavioral finance, using the two most popular databases, Web of Science and Scopus. The combination of the two databases resulted in a huge volume, highlighting the growth in this particular area of study. The analysis of the collected sources has been done using Biblioshiny, a bibliometrics tool package in R software that provides various analyses, including citation analysis, bibliographic coupling, and keyword analysis, among others. The present study provides a comprehensive analysis of the behavioral finance field from the 1970s to 2022, including current publication trends, the most cited authors, influential studies, and research themes in this domain. The findings of the study will provide insight into behavioral finance and benefit further studies in the field.
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