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The COVID-19 epidemic has brought attention to the vulnerability of new illnesses, and immunization remains a viable option for resuming normal life. This paper examines the influence of COVID-19 vaccination on the death rate and the performance of stock market in India. For this study, COVID-19 vaccination and death rate data is gathered from the Ministry of Health and Family Welfare (MoHFW) portal, and the data for the stock index is taken from the Bombay Stock Exchange (BSE), India. In order to achieve a precise representation of feature significance and distribution, EDA (Exploratory Data Analysis) is utilized in this study. The impact of COVID-19 immunization on the mortality rate and stock market index is investigated using both statistical analysis and Machine Learning Regression-based models. The models are remarkably accurate in reproducing actual result. The empirical study suggests that vaccination has a strong positive impact on the stock market and reducing the death rate. Furthermore, the policies recommended by government and monetary authorities coupled with COVID-19 vaccine supported the stock market recovery in pandemic. [ABSTRACT FROM AUTHOR]

Foreign institutional investors (FIIs) play a vital role in the stock market of a country and Indian stock markets are no exception to this. FIIs bring liquidity, buoyancy and growth in stock markets but at the same time they also enhance the level of volatility and instability. Over past few years the stock markets in India have shown an impressive growth. The stock market indices are making new strides and increasing number of shares are making new highs. Following India's impressive growth story, increasing corporate profitability and competitiveness, and better integration with the world economy, the investment by foreign institutional investors (FIIs) in the stock markets of India has gone up tremendously. Investment decisions of foreign institutional investors in India are affected by so many factors. Investment behavior of domestic institutional investors (DIIs) is one such important factor. This research paper is an attempt to analyze the impact of domestic institutional investors on the investment decision of foreign institutional investors in India. In other words, this study explores whether Domestic Institutional Investors affect the investment decisions of Foreign Institutional Investors in India or not. For this purpose, researchers have used regression analysis. Mutual fund investments have been taken as proxy for investment by DIIs. Investment patterns of FIIs and DIIs have been divided into eight variables i.e. FII Equity Purchases, FII Equity Sales, FII Debt Purchases, FII Debt Sales, MF Equity Purchases, MF Equity Sales, MF Debt Purchases and MF Debt Sales respectively. The study reveals that investment decisions of DIIs affect the investment decisions of FIIs. [ABSTRACT FROM AUTHOR]

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Purpose - The purpose of this paper is to estimate time-varying conditional volatility, and examine the extent to which trading volume, as a proxy for information arrival, explain the persistence of futures market volatility using National Stock Exchange S&P CRISIL NSE Index Nifty index futures. Design/methodology/approach - To estimate the volatility and capture the stylized facts of fat-tail distribution, volatility clustering, leverage effect, and mean-reversion in futures returns, appropriate ARMA-generalized autoregressive conditional heteroscedastic (GARCH) and ARMA-EGARCH models with generalized error distribution have been used. The ARMA-EGARCH model is augmented by including contemporaneous and lagged trading volume to determine their contribution to time-varying conditional volatility. Findings - The paper finds evidence of leverage effect, which indicates that negative shocks increase the futures market volatility more than positive shocks of the same magnitude. In addition, the results indicate that inclusion of both contemporaneous and lagged trading volume in the GARCH model reduces the persistence in volatility, but contemporaneous volume provides a greater reduction than lagged volume. Nevertheless, the GARCH effect does not completely vanish. Practical implications - Research findings have important implications for the traders, regulatory bodies, and practitioners. A positive volume-price volatility relationship implies that a new futures contract will be successful only to the extent that there is enough price uncertainty associated with the underlying asset. Higher trading volume causes higher volatility; so, it suggests the need for greater regulatory restrictions. Originality/value - Equity derivatives are relatively new phenomena in Indian capital market. This paper extends and updates the existing empirical research on the relationship between futures price volatility and volume in the emerging Indian capital market using improved methodology and recent data set. [ABSTRACT FROM AUTHOR]

This paper suggests a systematic approach to studying predictability and nonlinear dependence in the context of the Indian stock market, one of the most important emerging stock markets in the world. The proposed approach considers nonlinear dependence in returns and envisages appropriate specification of both the conditional first- and second-order moments, so that final conclusions are free from any probable statistical consequences of misspecification. To this end, a number of rigorous tests are applied on the returns, based on four major daily indices of the Indian stock market. It is found that the Indian stock market is predictable, and this observed lack of efficiency is due to serial correlation, nonlinear dependence, day-of-the week effects, parameter instability, conditional heteroskedasticity (GARCH), daily-level seasonality in volatility, the short-term interest rate (in some subperiods of some indices), and some dynamics in the higher-order moments. [ABSTRACT FROM AUTHOR]

This paper seeks to analyze the dynamical structure of the Indian stock market by considering two major Indian stock market indices, namely, BSE Sensex and CNX Nifty. The recurrence quantification analysis (RQA) is applied on the daily closing data of the two series during the period from January 2,2002, to October 10,2013. A Rolling Window of 100 and step size 21 are applied in order to see how both the series behave over time. The analysis based on three RQA measures, namely, % determinism (DET), laminarity (LAM), and trapping time (TT), provides conclusive evidence that the Indian equity market is chaotic in nature. Evidences for phase transition in the Indian equity market around the time of financial crisis are also found. [ABSTRACT FROM AUTHOR]

The onset of the COVID-19 pandemic and lockdown announcements by governments have created uncertainty in business operations globally. For the first time, a health shock has impacted the stock markets forcefully. India, one of the major emerging markets, has witnessed a massive fall of around 40% in its major stock indices' value. Therefore, we examined the short-term impact of the pandemic on the Indian stock market's major index (NIFTY50) and its constituent sectors. For our analysis, we used three different models (constant return model, market model, and market-adjusted model) of event study methodology. Our results are heterogeneous and largely depend on the sectors. All the sectors were impacted temporarily, yet the financial sector faced the worst. Sectors like pharma, consumer goods, and IT had positive or limited impacts. We discuss the potential explanations for the same. These results may be useful for investors in safeguarding equity portfolios from unforeseen shocks and making better investment decisions to avoid large, unexpected losses. [ABSTRACT FROM AUTHOR]

A robust small and medium enterprise (SME) sustainability disclosure index (SSDI) is developed to explore sustainability reporting (SR) practices across manufacturing SMEs listed in Bombay Stock Exchange, India. Content analysis is used to analyse the SR disclosures of twenty-nine manufacturing SMEs. The results indicate dearth SR practices particularly in the environmental and social dimension. A dimensional imbalance is identified where environmental and social disclosures are limited to purely descriptive narrations without any quantified information. The study tries to bridge the gap by providing SSDI as a mechanism to discharge and evaluate sustainability practices in SMEs. The authors recommend improving SR practices in SMEs (manufacturing) through strong policies and regulations. [ABSTRACT FROM AUTHOR]

Market liquidity ensures the marketability of security and is an indispensable feature of stock markets. Previous studies have emphasized the role of stock market liquidity in empirical finance. However, they have inadequately explored its multidimensional nature. This study eliminates the ambiguities related to market liquidity by precisely measuring it by using popular and proven liquidity measures. As such, the present study aims to evaluate market liquidity in terms of depth, breadth, tightness, and immediacy in the Indian equity market and also identifies crucial interdependencies between liquidity dimensions. The study selects 500 stocks constituting the NIFTY 500 index of the National Stock Exchange, India, as of 26th May 2019. The data on trading volume, bid price, ask price, the number of shares outstanding, closing share prices were retrieved for the period from 1st April 2009 to 31st March 2019. The study employs Share Turnover, Amihud Illiquidity Ratio, Relative Quoted Spreads, and Coefficient of Elasticity of Trading for liquidity measurement. The Vector Auto-Regressive (VAR) model is used to establish the simultaneous relationships between liquidity dimensions. The analysis is conducted at the aggregate market level as well as across turnover based stock groups divided based on their rankings in terms of stock specific share turnover. The empirical results evidenced the presence of consistent depth, strong breadth, and immediacy but lower tightness in the Indian equity market. The market depth and tightness appear to be relevant in determining dimensional interdependencies. Also, less frequently traded stocks exhibit higher illiquidity in the wake of lower tightness. The findings of this study will assist the investors to wisely understand the multifaceted nature of market liquidity and base their trading decisions accordingly. Moreover, the regulators of the stock exchange can devise liquidity enhancing policies based on the directional movements among liquidity dimensions. [ABSTRACT FROM AUTHOR]