stock volatility
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2022 ◽  
pp. 204-230
Author(s):  
Ezaz Ahmed ◽  
Md. Mahadi Hasan ◽  
Zakir Hossen Shaikh ◽  
Mohammad Irfan

Researchers examine stock volatility in emerging (E7) nations prior to and during COVID-19 announcements using multiple volatility estimations. The correlation coefficient matrix indicates that there is a strong positive correlation between the specified volatility estimators in the pre-COVID-19 and post-COVID-19 periods. Rogers-Satchell standard deviation has the first rank, and Garman-Klass has the last position in the pre-post-COVID-19 analysis volatility estimators. However, the authors discover a considerable influence of pre-post COVID-19 on the world's E7 countries. The findings' primary implication is that post-COVID-19 volatility is greater than pre-COVID-19 volatility. This means that investors' financial portfolios should be rebalanced to favor industries that are less impacted by COVID-19. Additionally, it serves as an early warning signal for investors and the government to take preventative measures in the event that it occurs again in the future.


2021 ◽  
Vol 14 (12) ◽  
pp. 611
Author(s):  
Ender Demir ◽  
Renatas Kizys ◽  
Wael Rouatbi ◽  
Adam Zaremba

The COVID-19 pandemic has elevated both the risk and volatility of energy companies. Can mass vaccinations restore stability within this sector? To answer this question, we investigate stock market data from fifty-eight countries from January 2020 to April 2021. We document that vaccination programs assist in decreasing the volatility of energy stocks around the world. The drop in volatility is statistically and economically significant and robust to many considerations. The observed phenomenon survives a broad battery of control variables; it is also independent of the employed regression model or the volatility measurement approach. Moreover, the effect is not driven by the dynamics of the pandemic itself or the associated government interventions. Finally, we find the influence of vaccinations on energy stock volatility to be more pronounced in developed markets rather than in emerging ones. Our findings bear clear practical implications: policy makers around the world should consider the essential role of vaccinations in the energy sector.


2021 ◽  
Vol 22 (3) ◽  
pp. 1449-1468
Author(s):  
Wai-Yan Wong ◽  
Chee-Wooi Hooy

This study investigates the relationship between political connection and firm stock volatility. We examine whether stock return volatility of politically connected firms differ from non-connected firms during four events. These four events are general election, change of leadership, announcement of government budget, and announcement of policies by the government. This paper uses a volatility event study technique to calculate the abnormal stock return volatility during the four events. We use the data of public-listed firms in Malaysia from 2002 to 2013. The result shows that political connection is associated with higher stock volatility in certain events. They appear to be the most volatile in the event of general election and least volatile during budget announcement. Besides budget announcement, the other three events showed a stronger volatility as they are considered as more of a surprise announcement rather than scheduled announcement. The paper adds to a limited body of literature investigating the relationship between political connection and market behavior in Malaysia and hopes to show that political connection can impact the stock return volatility of firms during high-visibility events in Malaysia.


2021 ◽  
pp. 097215092110542
Author(s):  
Rodrigo Fernandes Malaquias ◽  
Dermeval Martins Borges Júnior

This article aims to analyse the effects of positive tone in management reports on stock return volatility. It is expected that this article contributes to the literature about disclosure by proposing an objective textual content analysis of management reports, focussing on optimistic words or expressions employed by firms and their effect on stock return volatility. The sample consisted of management reports and financial data from 576 different Brazilian firms’ stocks. Regarding volatility, our measure is based on daily stock returns from 1 April 2011 to 23 October 2020. The data related to positive tone and control variables were based on the fiscal years 2010–2019. Therefore, the database contains 3,945 stock-year observations. The study hypothesis was tested through a regression model with panel data. The main results suggest that companies with higher positive disclosure tone scores do not necessarily present lower stock return volatility in the subsequent period. The objective content of financial reports (for example, in relation to profitability) seems to be related to stock volatility; however, the tone of subjective expressions does not represent the main determinant of stock volatility.


2021 ◽  
Vol 5 (1) ◽  
pp. 215-225
Author(s):  
IRFAN ULLAH ◽  
DR. MUHAMMAD ZAHID ◽  
ZAIN ULLAH

The main purpose of the current study is to investigate the impact of behavioural biases such as confidence, optimism, and pessimism on stock volatility evidence from Pakistan Stock Exchange (PSX). Prospect theory and overconfidence theory formed the foundation of this study. The methodology composed of positivist philosophical stance, deductive approach and quantitative methods with secondary data. Data analysis involved the use of descriptive statistics, correlation and regression. The study consists ofa 10-years analysis from June 2008 to June 2018 and includes daily trading volumes KSE-100 index in PSX. Results reveal that behavioral biases such as confidence have a positive impact on stock volatility. Similarly, optimism bias has also a positive impact on stock volatility. While pessimism bias has recorded a negative impact on stock volatility. Therefore, it is concluded that behavioural biases have an impact on stock volatility. The current study has a contribution to the body of knowledge on the ground that it attempts to change the traditional notion of society who believes in the efficient market hypothesis. The study has implications for different stakeholders of stock markets.


2021 ◽  
Vol 3 (2) ◽  
pp. 53-58
Author(s):  
ARIF HUSSAIN ◽  
AHMAD BILAL HUSSAIN ◽  
SHAHID ALI

Apprehension pertaining to Stock return volatility always has been producing the appreciable significance in the various current research works and it has been lucrative to many researchers for forecasting stock market volatility. This study is about the forecasting of stock returns volatility on the basis of interest rate volatility in the well established Pakistan Stock Exchange (PSX). The stock returns are calculated on the basis of KSE 100 index and interest rate volatility is calculated on the basis of monthly treasury bills rate during a period of 1994 to 2016. Various volatility models like Auto Regressive Conditional Heteroscedasticity (ARCH) and Generalized Auto Regressive Conditional Heteroscedasticity (GARCH) were used to predict stock return volatility on the basis of interest rate volatility in Pakistan. ARCH model is one of the well known methods to forecast the error term in the data and which will certain our forecast regarding stock prices. In the Pakistan Stock Exchange the ARCH (1, 1) has been statistically significantly proved. The GARCH (1, 1) model is also used to estimate the stock volatility. This model shows the short run volatility affect the lagged stock returns and is contributing to the overall volatility. The sum of α and β is less than 1 so the short run volatility is positively related to the overall stock volatility. The GARCH (1, 1) model has outperformed the other volatility models in the case of Pakistan Stock Exchange.


2021 ◽  
pp. 27-49
Author(s):  
Janga Bahadur Hamal ◽  
Rishi Raj Gautam

This paper aims to identify the impact of the COVID-19 pandemic on stock market volatility and market return as well as the impact of government response to the COVID-19 pandemic on stock market performance. To analyze the same, the paper has adopted Systematic Literature Review (SLR) approach and conducted a review of 40 journal articles published between between2020 to mid-2021. The paper identified that the short-term impact of the COVID-19 outbreak and government policy measures had a significant and adverse impact on stock market volatility, return and overall performance. In the longer term, the stock markets slowly started to stabilize and revive. This effect on the stock market was also attributed to investor sentiment and thus, in the later stages, targeted government response had a positive effect on boosting investor confidence towards the market.


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