scholarly journals The performance of the Indian stock market during COVID-19

2020 ◽  
Vol 17 (3) ◽  
pp. 133-147
Author(s):  
Rashmi Chaudhary ◽  
Priti Bakhshi ◽  
Hemendra Gupta
Keyword(s):  
Standard Deviation ◽  
Stock Market ◽  
Stock Exchange ◽  
Health Care Information ◽  
Crisis Period ◽  
Daily Data ◽  
Composite Indices ◽  
Health Care Information Technology ◽  
Indian Stock Market ◽  
The Impact

The current empirical study attempts to analyze the impact of COVID-19 on the performance of the Indian stock market concerning two composite indices (BSE 500 and BSE Sensex) and eight sectoral indices of Bombay Stock Exchange (BSE) (Auto, Bankex, Consumer Durables, Capital Goods, Fast Moving Consumer Goods, Health Care, Information Technology, and Realty) of India, and compare the composite indices of India with three global indexes S&P 500, Nikkei 225, and FTSE 100. The daily data from January 2019 to May 2020 have been considered in this study. GLS regression has been applied to assess the impact of COVID-19 on the multiple measures of volatility, namely standard deviation, skewness, and kurtosis of all indices. All indices’ key findings show lower mean daily return than specific, negative returns in the crisis period compared to the pre-crisis period. The standard deviation of all the indices has gone up, the skewness has become negative, and the kurtosis values are exceptionally large. The relation between indices has increased during the crisis period. The Indian stock market depicts roughly the same standard deviation as the global markets but has higher negative skewness and higher positive kurtosis of returns, making the market seem more volatile.

Do Indian stock market sentiments impact contemporaneous returns?

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Temporal Dynamics ◽  
Stock Exchange ◽  
Principal Component ◽  
Stock Index ◽  
Content Type ◽  
Investor Sentiments ◽  
Indian Stock Market ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.

scholarly journals Chinese stock market sectoral indices performance in the time of novel coronavirus pandemic

2020 ◽  
Author(s):  
Venus Khim-Sen Liew ◽  
Chin-Hong Puah
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Composite Index ◽  
Chinese Stock Market ◽  
Health Care Information ◽  
Stock Market Performance ◽  
Health Care Information Technology ◽  
Novel Coronavirus ◽  
Regulatory Commission

Abstract This paper aims to quantify the effect of the deadly novel coronavirus (COVID-19) pandemic outbreak on Chinese stock market performance. Shanghai Stock Exchange Composite Index and its component sectorial indices are examined in this study. The pandemic is represented by a lockdown dummy, new COVID-19 cases and a dummy for 3 February 2020. First, descriptive analysis is performed on these indices to compare their performances before and during the lockdown period. Next, regression analysis with Exponential Generalized Autoregressive Conditional Heteroscedasticity specification is estimated to quantify the pandemic effect on the Chinese stock market. This paper finds that health care, information technology and telecommunication services sectors were relatively more pandemic-resistant, while other sectors were more severely hurt by the pandemic outbreak. The extent to which each sector was affected by pandemic and sentiments in other financial and commodity markets were reported in details in this paper. The findings of this paper are resourceful for investors to avoid huge loss amid pandemic outburst and the China Securities Regulatory Commission in handling future pandemic occurrence to cool down excessive market sentiments.

Impact on Stock Price by the Inclusion to and Exclusion from CNX Nifty Index

2012 ◽  
Vol 13 (1) ◽  
pp. 39-50 ◽  
Author(s):  
M. Selvam ◽  
G. Indhumathi ◽  
J. Lydia
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Research Study ◽  
Stock Exchange ◽  
Valuation Effect ◽  
Index Maintenance ◽  
Indian Stock Market ◽  
The Impact ◽  
Indian Perspective

Changes in an index are a regular phenomenon and they take place due to the inclusion and exclusion of stocks from the index. The inclusion or exclusion of stocks creates great impact on the value of the firm. However, these changes are simply a short-lived event with no permanent valuation effect. The present research study analyzed the impact of the inclusion into and exclusion of certain stocks from National Stock Exchange (NSE) S&P CNX Nifty index with Indian perspective. The study provides evidence on whether the announcements of Nifty index maintenance committee have any information content. This will also demonstrate the efficiency of Indian stock market with particular reference to NSE. The study revealed that on an average, no permanent effects were observed on stock prices. It is also found from the study that the NSE reacted unfavourably to the inclusion and exclusion of stocks and it is impossible to earn any excess returns where the particular stocks are included or excluded from the index.

scholarly journals The Impact of Risk Anomalies on the Pharmaceutical Sector of the Indian Stock Market. A comparative analysis between pharmaceutical, FMCG and IT companies

2020 ◽  
Vol 71 (2) ◽  
pp. 58-63
Author(s):  
Prakash Pinto ◽  
Iqbal Thonse Hawaldar ◽  
Guruprasad Kemminje ◽  
Babitha Rohit ◽  
Cristi Marcel Spulbar ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Stock Market ◽  
Research Study ◽  
Stock Exchange ◽  
Pharmaceutical Sector ◽  
Research Article ◽  
Fast Moving Consumer Goods ◽  
Indian Stock Market ◽  
The Impact ◽  
It Risk

The main purpose of this research article is to provide a comparative framework on various implications of risk anomalies on Indian stock market based on an empirical study for the following sectors: Pharmaceutical, Fast-Moving Consumer Goods (FMCG) and IT. Risk anomaly is a notable anomaly because it is continual and all-inclusive. This research study aims to examine the existence of risk anomaly in the National Stock Exchange, India, and in particular providing a comparative analysis on the behavior of the pharmaceutical sector in India.

The Effect of Covid-19 Pandemic on Stock Returns: An Evidence of Indonesia Stock Exchange

2021 ◽  
Vol 4 (1) ◽  
pp. 28-37
Author(s):  
Ajeng Mugiarni ◽  
Permata Wulandari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Daily Growth ◽  
Daily Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Health Related ◽  
The Impact ◽  
Death Cases

The pandemic Covid-19 caused panic not only in health sectors but also weakened the world’s economy. The stock market, as one of the barometers of the economy, was hit by the pandemic Covid-19. The impact of Covid-19 on the stock market provides a signal for investors. Stock returns are what investors look for when investing in stocks. Returns on the stock exchange respond to several events, one of which is the news about health related to the Covid-19 pandemic. This study aims to seek whether the Covid-19 outbreak affects stock returns in Indonesia Stock Exchange. Using daily data of Covid-19 confirmed case, daily data of Covid-19 death cases, and stock returns data in Indonesia from January 2, 2020, to December 31, 2020. The panel-data regression model is used to estimate the result of the study. This study shows that stock returns in Indonesia Stock Exchange respond negatively significantly as the number of confirmed cases increases also stock returns in Indonesia respond negatively significantly to the daily growth of death cases. This study also finds that stock return in consumer goods and basic chemical industry were the impacted industries caused by pandemic Covid-19. Empirical findings could be used for the practitioner to consider investing in the stock market to avoid the significant impact of such outbreaks in the future.

Measuring liquidity on stock market: impact on liquidity ratio

2012 ◽  
Vol 18 (2) ◽  
pp. 183-193
Author(s):  
Siniša Bogdan ◽  
Suzana Bareša ◽  
Saša Ivanović
Keyword(s):  
Stock Market ◽  
Multiple Regression ◽  
Capital Market ◽  
Stock Exchange ◽  
Primary Data ◽  
Stock Liquidity ◽  
Daily Data ◽  
Key Variables ◽  
One Year ◽  
The Impact

The purpose – It is important to emphasize that liquidity on Croatian stock market is low, the purpose of this paper is to test empirically and find out which variables make crucial role in decision making process of investing in stocks. Design – This paper explores the impact of various liquidity variables on liquidity ratio since it is still insufficiently researched topic. Methodology –This research uses secondary and primary data available from Croatian stock market. Considering primary data this paper use daily data from Zagreb stock exchange for 196 stocks traded in one year, with the purpose of finding the key variables that make up some stocks more attractive to investors. Liquidity is measured with Amihud's liquidity ratio, which shows the amount of capital sufficient to change price by 1%. Approach – With more than 61.035 input data, using the method of multiple regression, this paper examined the influence of different variables on the stock liquidity on Croatian capital market. Findings – Key findings of this paper indicate that size of firm measured by market capitalization, number of issued stocks and achieved volume affects liquidity ratio. This paper uses multiple regression, and correlation matrix to show dependence among liquidity variables. There is strong correlation coefficient among liquidity variables and liquidity ratio, results are statistically significant. The originality of this research – The originality of this work rises from the obtained research results and the fact that this is first paper that studies problem of stock liquidity on Croatian capital market.

Impact of Weather on Return and Volatility: Evidence from Indian Stock Market

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Vijayakumar N. ◽  
Dharani M. ◽  
Muruganandan S.
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Return ◽  
Return Volatility ◽  
Weather Factors ◽  
Stock Return Volatility ◽  
Daily Data ◽  
Indian Stock Market ◽  
The Impact

This study examines the impact of Weather factors on return and volatility of the Indian stock market. The study uses the daily data of top four metros and tests its impact on the return and volatility of S&P CNX Nifty index from January 2008 to December 2013. This study applies GARCH (1, 1) model and find that the stock returns are influenced by temperature in Chennai and the stock return volatility influenced by the temperature in Mumbai, Delhi and Kolkata.

Psychology of Indian Stock Market: An Evidence of Seasonal Affected Disorder

2020 ◽  
Vol 16 (2) ◽  
pp. 146-156
Author(s):  
Rajdeep Kumar Raut ◽  
Rohit Kumar
Keyword(s):  
Stock Market ◽  
Seasonal Affective Disorder ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Vital Role ◽  
Least Square ◽  
Market Return ◽  
Stock Market Return ◽  
Indian Stock Market ◽  
The Impact

This article examines the association between daylight hours as a proxy for the seasonal affective disorder (SAD) and stock market return. Past studies have documented different decision-making mechanisms induced by investors’ cognition mainly influenced by greed and fear. However, this study appears to be different from evidence where investors’ mood is affected by seasonality, which plays a vital role in risk-taking propensity. Data have been taken from three indexes of Bombay Stock Exchange (BSE), for the period between April 2003 and December 2016. The impact of SAD on stock market return was examined by using naïve ordinary least square (OLS) model. This study reports a negative relationship between daylight hours and pattern of midcap as well as smallcap indexes, which are in alignment with mood maintenance hypothesis (MMH). The result of negative correlation suggests a summer-type SAD, which is an addition to the findings of the existing literature.

Self-attribution, Overconfidence and Dynamic Market Volatility in Indian Stock Market

2018 ◽  
Vol 21 (4) ◽  
pp. 970-989
Author(s):  
Venkata Narasimha Chary Mushinada ◽  
Venkata Subrahmanya Sarma Veluri
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Stock Exchange ◽  
Empirical Evaluation ◽  
Market Volatility ◽  
Crisis Period ◽  
Asymmetric Volatility ◽  
Attribution Bias ◽  
Indian Stock Market ◽  
Overconfidence Bias

The article provides an empirical evaluation of self-attribution, overconfidence bias and dynamic market volatility at Bombay Stock Exchange (BSE) across various market capitalizations. First, the investors’ reaction to market gain when they make right and wrong forecasts is studied to understand whether self-attribution bias causes investors’ overconfidence. It is found that when investors make right forecasts of future returns, they become overconfident and trade more in subsequent time periods. Next, the relation between excessive trading volume of overconfident investors and excessive prices volatility is studied. The trading volume is decomposed into a first variable related to overconfidence and a second variable unrelated to investors’ overconfidence. During pre-crisis period, the analysis of small stocks shows that conditional volatility is positively related to trading volume caused by overconfidence. During post-crisis period, the analysis shows that the under-confident investors became very pessimistic in small stocks and tend to overweight the future volatility. Whereas, the analysis of large stocks indicates that the overconfidence component of trading volume is positively correlated with the market volatility. Collectively, the empirical results provide strong statistical support to the presence of self-attribution and overconfidence bias explaining a large part of excessive and asymmetric volatility in Indian stock market.

Impact of Stock Splits and Rights Issue Announcements on Market Price: Evidence from India

2016 ◽  
Vol 7 (2) ◽  
Author(s):  
Babitha Rohit ◽  
Prakash Pinto ◽  
Shakila B.
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Market Price ◽  
Abnormal Returns ◽  
Market Model ◽  
Stock Splits ◽  
Indian Stock Market ◽  
Rights Issue ◽  
The Impact

The current paper studies the impact of two events i.e stock splits and rights issue announcement on the stock returns of companies listed on the Bombay Stock Exchange. The study consists of a sample of 90 announcements for stock splits and 29 announcements for rights issue during the period 2011-2014. Market model is used to calculate the abnormal returns of securities. Positive Average Abnormal Returns were observed for the two events on the day their announcements, however they are not statistically significant. The study concludes that the Indian stock market is efficient in its semi-strong form.

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