The Effects of Passenger Risk Perception During the COVID-19 Pandemic on Airline Industry: Evidence From the United States Stock Market

The COVID-19 pandemic has caused a dramatic reshaping of passenger risk perception for airline industry. The sharp increase in risk aversion by air passenger has caused a disastrous impact on the tourism service industry, particularly airline industry. Although the existing literature has provided a lot of studies on the impact of the pandemic on travel industry, there are very few studies discussing the impact of change in passenger risk perception on the stock market performance of airline industry. This study considers two types of airline companies, full-service and low-cost. In order to overcome the traditional problem of the Chow test, Quandt–Andrews test is used to identify structural change points during the pandemic in the stock prices of United States airline companies. The result shows that an industry-wide structural change in the stock market performance indeed is found to take place during the pandemic for United States airline companies. Meanwhile, no significant difference is found in the structural change date between the two types of airline companies. The selected airline companies are found to be clustered toward the end of 2020 (November and December) in their structural change dates. Although the strike of the COVID-19 pandemic on airline industry has proven to be widespread and profound, our investigation implies that air passengers have gradually adapted to the new normal of travel activities at some level and partly rebuild their sense of safety under the strict epidemic-control measures.

Stock Market Responses to Monetary and Fiscal Policies

This study analyzes the short-run and long-run effects of interaction between fiscal and monetary policies on stock market performance in four emerging Asian economies, which are China, India, Indonesia, and Malaysia, by using ARDL model. The study covers the period of 2003:Q1-2020:Q1. The findings from this study show monetary and fiscal policies play an important role in determining stock market returns. Also, the results theoretically support Richardian neutrality hypothesis for China and Indonesia, Keynesian positive effect hypothesis for India, and classical crowding out effect hypothesis for Malaysia, and interest channel of monetary transmission mechanism only for China.

The Impact of Corporate Social Responsibility on Firm Value During the COVID-19 Pandemic

In this chapter, the authors have investigated the effect of CSR on firm value during the pandemic. They used the event study technique and noted that an engagement in the CSR activities increases the stock returns to the hospitality firms during a pandemic crisis. The results showed that the hospitality firms that showed a better stock market performance during the pandemic invested in CSR activities. This would indicate a theoretical application and practical implication on their business duties towards the society, and any future research in CSR would allow them to successfully handle a critical disaster like this pandemic in the future.

The Role of Big Data Research Methodologies in Describing Investor Risk Attitudes and Predicting Stock Market Performance

The purpose of this chapter is to compare the performance of a deep learning modeling technique to predict market performance compared to conventional prediction modeling techniques. A secondary purpose of this chapter is to describe the degree to which financial risk tolerance can be used to predict future stock market performance. Specifically, the models used in this chapter were developed to test whether aggregate investor financial risk tolerance is of value in establishing risk and return market expectations. Findings from this chapter's examples also provide insights into whether financial risk tolerance is more appropriately conceptualized as a predictor of market returns or as an outcome of returns.

The ignored tool of corporate governance rating: An overview of the corporate world in the emerging market

Generally, the interest of stakeholders is to see the growth of their entities, also they benchmark their entities through business performance metrics or tools like return on equity, return on assets (Mishra & Kapil, 2018), earnings per share, gross profit margin, employee productivity, sales turnover, ratings given by prominent credit rating agencies, such as Investment Information and Credit Rating Agency (ICRA), Credit Rating Information Services of India Limited (CRISIL), Standard and Poor, etc. In addition to this, internal governance mechanisms, board of directors’ characteristics, their independence, transparency, concentration, and presence of employees in the ownership structure also influence financial and stock market performance (Braendle, Stiglbauer, Ababneh, & Dedousis, 2020). However, assessing the performance of entities through some of these limited angles is not always possible. One more criterion for assessing the performance of entities is corporate governance rating (CGR). However, it is not widely used as a tool to assess a firm’s performance in emerging markets. The present research paper is intended to address the scenario of corporate governance rating in Indian corporate world to assess a firm’s performance. With the help of majorly secondary sources of data, this study was conducted from 2003 to 2021 based on the CRISIL’s rating pattern. The results revealed that only 20 companies adopted the process of corporate governance rating. The findings showed the significance of corporate governance rating, its adoption and future research in the development of the rating mechanisms in India as well as in other emerging markets.

Layoffs and stock market performance during the COVID-19 pandemic: evidence from the US

PurposeThe authors examine the short-term stock market reaction surrounding US layoffs during the coronavirus disease 2019 (COVID-19) period. The authors’ specific interest is on any changes that may be observed in US stock markets during the COVID-19 outbreak. This information will help us assess the extent to which policymakers adopted at time revenue and expenditures measures to minimize its negative impact.Design/methodology/approachThe authors study the linkage between layoffs announced by firms and stock markets in US for the COVID-19 period between March 2020 and October 2020. This period shows important economic figures; a huge number of job cuts announced by blue-chip companies listed in the New York Stock Exchange (NYSE) due to widespread economic shutdowns. The authors examine whether and to what extent stock markets in US have reacted to layoff announcements during the COVID-19 pandemic using an event-study methodology.FindingsThe study’s results show that US layoffs during the pandemic did not cause any abnormalities on the stock returns, either positive or negative. Based on the mean-adjusted volume, the authors find that layoffs increase the stocks' trading volume, especially on the event date and the day following the event. US stocks become more volatile on the days following the event. Interestingly, on the event date, the authors find that stocks get the highest abnormal volatility; however, the result is statistically insignificant.Practical implicationsThe authors suggest that layoffs announcements follow the business cycle quite closely in most industries. The study’s results have implications for investors, regulators and policymakers as they permit to examine the effectiveness of the measures adopted.Social implicationsThe study’s results show that policymakers reduced uncertainty implementing intensive measures quickly and should follow similar policy in the future pandemic and/or unexpected events.Originality/valueThis paper contributes to the literature in two directions: First, to the best of the authors’ knowledge this is the first study that provides empirical evidence and assesses the extent to which a major global shock such as the COVID-19 pandemic may have altered the reaction of US stock markets to layoff announcements. Second, this is the first study on this topic that examines volume and volatility abnormalities, while the authors check the robustness of the findings with different methods to calculate abnormal returns.

Are ESG Shares a Safe Haven during COVID-19? Evidence from the Arab Region

The world experienced significant changes in its social and economic lives in 2020–21. Major stock markets experienced an immediate decline. This paper attempts to examine the impact of COVID-19 on stock market performance as well as to identify the differences between the responses of ESG stocks and normal stocks to pandemic conditions in the Arab region. Daily time series for three years between March 2019 and March 2021 were collected for the S&P Pan Arab Composite index and S&P/Hawkamah ESG Pan Arab Index. We used a generalized autoregressive conditional heteroscedasticity (GARCH) model to measure market shocks and a non-linear autoregressive distributed lagged (NARDL) regression model to display the relationship between COVID-19 measurements and the performance of stock indexes. The findings suggest that the volatilities of ESG portfolios and conventional ones were equally affected in the pre-COVID period. However, in the post-COVID period, the magnitude of volatility in the ESG stock index was significantly less compared to that of the conventional stock index. The results also revealed that in the ESG market, shock tended to remain for a shorter period. Furthermore, the ESG index was not affected by the number of confirmed cases and deaths. However, evidence of asymmetric long-run cointegration existed between the S&P index and number of cases and deaths. Increases in the numbers of cases and deaths caused a decline in market index, whereas the reverse trends were observed in the retreat of the pandemic.

Stock market development: a reflection of governance regulatory framework in Nigeria

PurposeThe article examines the possible long-run and short-run impact of regulatory quality on stock market performance in Nigeria for 1996–2019 period.Design/methodology/approachThe study adopts autoregressive distributed lag (ARDL) bounds test and cointegrating regression techniques.FindingsFindings reveal that regulatory quality positively and significantly influences the performance of stock market, which strengthens the view that market-enhancing governance can engender an improvement in stock market performance. The study further demonstrates that quality of the regulatory environment is a critical component of market operations, since the improvement of the operation of stock market performance depends on appropriate policy measures, which could be the outcome of improved governance.Practical implicationsIt is suggested that, while improving the institutional environment is a challenge to regulators, there is need for strong and effective regulatory mechanism to enhance the development of stock market in the country.Originality/valueBased on the two competing hypotheses and limited attention, previous studies accorded the role of regulatory quality in the performance of stock market in the context of Nigeria. This study assessed the gap in the literature by taking the task of validating the impact of regulatory quality on stock market development.

Companies’ Stock Market Performance in the Time of COVID-19: Alternative Energy vs. Main Stock Market Sectors

The paper aims to detect the differences in stock market performance between companies from the alternative energy sector and main stock market sectors in the first and second years of the COVID-19 pandemic. We used Global Industry Classification Standard to analyse eleven main stock market sectors and the alternative energy sector. Based on the one-factor variance analysis—ANOVA, we reveal the statistically significant differences between the analysed stock market sectors in both 2020 and 2021. The analysis implied that the performance of stock market companies during COVID-19 is sector-specific. Tukey’s Honestly Significant Difference (HSD) test for pairwise comparison indicates that the alternative energy sector shows the most differentiation. Its average rate of return in 2020 is the highest and is significantly different for all eleven stock market sectors, while the top constituents from the conventional energy and financial sectors suffered the most. In 2021, a reverse trend in the stock prices can be observed. Companies from the conventional energy and financial sectors achieved the highest positive average weekly rates of return among all of the analysed stock market sectors, while the alternative energy sector performed significantly worse than the other sectors did. Nevertheless, throughout the entire analyses period of 2020–2021, the companies from the alternative energy sector turned out to be the biggest stock market beneficiaries. This study might imply that the COVID-19 pandemic has not hampered but has instead accelerated growing concerns about the environment and climate change.