Disparities Old and New in US Mental Health during the COVID-19 Pandemic*

The COVID-19 pandemic has reduced well-being and economic security on a number of dimensions, likely worsening mental health. In this paper, we assess how mental health in the US population has changed during the pandemic. We use three large, nationally representative survey sources to provide a picture of mental health prior to and during the pandemic. We find dramatic but broad-based declines in the level of mental health from pre-pandemic baseline measures across both people and places. Rates of poor mental health have jumped roughly 25 percentage points, from a base of roughly one-third. We document substantial disparities in mental health but show that the pandemic has generally preserved, rather than widened, these. Significant worsening in relative mental health among Hispanics and respondents aged 30 and older are exceptions. Consistent with an important role for pandemic-specific shocks, We find that income loss, food insecurity, COVID-19 infection or death in one's close circle, and personal health symptoms are all associated with substantially worse mental health. If anything, the decline in mental health is worsening as the pandemic wears on and is becoming less related to local COVID-19 case rates.     

Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors

This paper explores the link between personal experience with COVID-19 and US retail investors’ financial decision-making during the first COVID-19 wave. Do retail investors that have personally experienced COVID-19 change their investments after the pandemic outbreak, and if so, why? We use a cross-sectional dataset from an online survey of US retail investors collected in July and August 2020 to assess if and how respondents change their investment decisions after the COVID-19 outbreak. On average retail investors increase their investments during the first wave of COVID-19 by 4.7%, while many of them decrease their investments suggesting a high heterogeneity of investor behaviours. We provide the first evidence that personal experience with the virus can have unexpected positive effects on retail investments. Investors who have personal experience with COVID-19, who are in a vulnerable health category, who tested positive, and who know someone in their close circle of friends or family who died because of COVID-19, increase their investments by 12%. We explain our findings through terror management theory, salience theory and optimism bias, suggesting that reminders of mortality, focussing on selective salient investment information, and over-optimism despite personal vulnerable health contribute to the increase in retail investments. Increased levels of savings, saving goals and risk capacity are also positively associated with increased investments. Our findings are relevant to investors, regulators, and financial advisors, and highlight the importance of providing retail investors with access to investment opportunities in periods of unprecedented shocks such as COVID-19.     

Analysis of risk correlations among stock markets during the COVID-19 pandemic

The outbreak of the COVID-19 pandemic significantly negatively impacted the global economy and stock markets. This paper investigates the stock-market tail risks caused by the COVID-19 pandemic and how the pandemic affects the risk correlations among the stock markets worldwide. The conditional autoregressive value at risk (CAViaR) model is used to measure the tail risks of 28 selected stock markets. Furthermore, risk correlation networks are constructed to describe the risk correlations among stock markets during different periods. Through dynamic analysis of the risk correlations, the influence of the COVID-19 pandemic on stock markets worldwide is examined quantitatively. The results show the following: (i) The COVID-19 pandemic has caused significant tail risks in stock markets in most countries, while the stock markets of a few countries have been unaffected by the pandemic. (ii) The topology of risk correlation networks has become denser during the COVID-19 pandemic. The impact of the COVID-19 pandemic makes it easier for risk to transfer among stock markets. (iii) The increase in the closeness of the risk relationship between countries with lower economic correlation has become much higher than that between counties with higher economic correlation during the COVID-19 pandemic. For researchers and policy-makers, these findings reveal practical implications of the risk correlations among stock markets.     

The Mental Health Effects of the First Two Months of Lockdown during the COVID-19 Pandemic in the UK*

In this paper, we estimate the effects of the COVID-19 pandemic on mental health in the UK. We use longitudinal micro data for the UK over the period 2009–20 to control for pre-existing trends in mental health and construct individual-specific counterfactual predictions for April 2020, against which the COVID-19 mental health outcomes can be assessed. Our analysis reveals substantial effects at the population level, approximately equal in magnitude to the pre-pandemic differences between the top and bottom quintiles of the income distribution. This overall effect was not distributed equally in the population – the pandemic had much bigger effects for young adults and for women, which are groups that already had lower levels of mental health before COVID-19. Hence inequalities in mental health have been increased by the pandemic. Even larger effects are observed for measures of mental health that capture the number of problems reported or the fraction of the population reporting any frequent or severe problems, which more than doubled. Pre-existing health vulnerabilities had no predictive power for subsequent changes in mental health.     

COVID-19 Sentiment and the Chinese Stock Market: Evidence from the Official News Media and Sina Weibo

This study quantitatively measures the Chinese stock market’s reaction to sentiments regarding the Novel Coronavirus 2019 (COVID-19). Using 6.3 million items of textual data extracted from the official news media and Sina Weibo blogsite, we develop two COVID-19 sentiment indices that capture the moods related to COVID-19. Our sentiment indices are real-time and forward-looking indices in the stock market. We discover that stock returns and turnover rates were positively predicted by the COVID-19 sentiments during the period from December 17, 2019 to March 13, 2020. Consistent with this prediction, margin trading and short selling activities intensified proactively with growth sentiment. Overall, these results illustrate how the effects of the pandemic crisis were amplified by the sentiments.     

Does corporate social responsibility protect shareholder value from the shock of COVID-19? Evidence from China

Our study examines whether and how increased engagement in social responsibility activities by a firm affects movements in its stock prices during the COVID-19 public health crisis, which is regarded as an exogenous shock to economic ties between focal firms and their customers, employees, and suppliers. We find that corporate social responsibility has an inverted U-shaped relationship with shareholder value. The nonlinear relationship is more dominant at firms with higher cash-flow constraints and weaker cost-adjustment capabilities. Our research also generates meaningful implications for business practices.     

Effects of investor sentiment and country governance on unexpected conditional volatility during the COVID-19 pandemic: Evidence from global stock markets

This paper first investigates the relationship between investor sentiment, captured by internet search behaviour, and the unexpected component of stock market volatility during the COVID-19 pandemic. According to data on 12 major stock markets, our research indicates a positive correlation between the Google search volume index on COVID-19 and the unexpected volatility of stock markets. The result suggests that greater COVID-19-related investor sentiment during this pandemic is associated with higher stock market uncertainty.Our study further examines whether country-level governance plays a role in protecting stock markets during this pandemic and reveals that the unexpected conditional volatility is lower when a country's governance is more effective. The impact of investor sentiment and country governance on unexpected volatility after the initial shock of COVID-19 is also investigated. The findings demonstrate the importance of establishing good country-level governance that can effectively reduce stock market uncertainty in the context of this pandemic, and support continual policy development related to investor protection.     

Sovereign credit ratings during the COVID-19 pandemic

Using 603 sovereign rating actions by the three leading global rating agencies between January 2020 and March 2021, this paper shows that the severity of sovereign ratings actions is not directly affected by the intensity of the COVID-19 health crisis (proxied by case and mortality rates) but through a mechanism of its negative economic repercussions such as the economic outlook of a country and governments' response to the health crisis. Contrary to expectations, credit rating agencies pursued mostly a business-as-usual approach and reviewed sovereign ratings when they were due for regulatory purposes rather than in response to the rapid developments of the pandemic. Despite their limited reaction to the ongoing pandemic, sovereign rating news from S&P and Moody's still conveyed price-relevant information to the bond markets.     

Explaining stock markets' performance during the COVID-19 crisis: Could Google searches be a significant behavioral indicator?

The purpose of this study is to examine the impact of the pandemic on the performance of stock markets, focusing on the behavioral influence of the fear due to COVID-19. Using a data set of 10 developed countries during the period December 31, 2019, to September 30, 2020, we examine the impact of COVID-19 on the performance of the stock markets. We incorporate the impact of the COVID-19 pandemic using the following variables: (a) the number of new COVID-19 cases, which was widely used as the main explanatory variable for market performance in early financial studies, and (b) a Google Search index, which collects the number of Google searches related to COVID-19 and incorporates the health risk and the fear of COVID-19 (the higher the number of searches for Covid terms, the higher the index value, and the higher the fear index). We employ our input into an EGARCH(1,1,1) model, and the findings show that the Google Search index enables us to draw statistically significant information regarding the impact of the COVID-19 fear on the performance of the stock markets. On the other hand, the variable of the number of new COVID-19 cases does not have any statistically significant influence on the performance of the stock markets. Google searches could be a useful tool for supporters of behavioral finance, scholars, and practitioners.     

Does real flexibility help firms navigate the COVID-19 pandemic?

Building on the investment-based asset pricing framework, we show that firms' ability to timely scale down their operations reduces the sensitivity of their equity value to large adverse productivity shocks. Using U.S. data in the times of the COVID-19 pandemic, we provide empirical evidence consistent with our model's predictions. Real flexibility curbs losses in firm value and reduces return volatility, especially for firms with high book-to-market or high COVID-19 exposure, consistent with the idea that the benefits of real flexibility are associated primarily with contraction options during the COVID-19 crisis. Our analysis shows that real flexibility provides incremental and complementary protection beyond financial flexibility. Besides its impact on stock prices, real flexibility also helps firms sustain earnings during 2020, compared with 2019 when the pandemic had not struck. Our work demonstrates that real flexibility is an important tool for corporate managers in navigating episodes of disasters.     

Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market

In the wake of recent pandemic of COVID-19, we explore its unprecedented impact on the cryptocurrencies' market. Specifically, we check how the changing intensity of the COVID-19 represented by the daily addition in new infections worldwide affects the daily returns of the top 10 cryptocurrencies according to the market capitalization. The results from Quantile-on-Quantile Regression (QQR) approach reveal that the changing intensity levels of the COVID-19 affect the Bearish and the Bullish market scenarios of cryptocurrencies differently (asymmetric impact). Additionally, there are differences between these currencies in their responses to the changing levels of this pandemic's intensity. Most of the currencies absorbed the small shocks of COVID-19 by registering positive gains but failed to resist against the huge changes except Bitcoin, ADA, CRO, and up to some extent Ethereum. Our results reveal new and asymmetric dynamics of this emerging asset class against an extremely stressful and unpredictable event (COVID-19). Moreover, these results are robust to the use of alternative proxy (COVID-19 deaths) for pandemic intensity. Our findings help to improve investors and policymakers' understanding of the cryptocurrencies' market dynamics, especially in the times of extremely stressful and unseen events.     

The impact of COVID-19 on the stock market crash risk in China

This study investigates the impact of the COVID-19 pandemic on the stock market crash risk in China. For this purpose, we first estimated the conditional skewness of the return distribution from a GARCH with skewness (GARCH-S) model as the proxy for the equity market crash risk of the Shanghai Stock Exchange. We then constructed a fear index for COVID-19 using data from the Baidu Index. Based on the findings, conditional skewness reacts negatively to daily growth in total confirmed cases, indicating that the pandemic increases stock market crash risk. Moreover, the fear sentiment exacerbates such risk, especially with regard to the impact of COVID-19. In other words, when the fear sentiment is high, the stock market crash risk is more strongly affected by the pandemic. Our evidence is robust for the number of daily deaths and global cases.     

Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US,Japan, and Germany

We analyzed the return and volatility spillover between the COVID-19 pandemic in 2020, the crude oil market, and the stock market by employing two empirical methods for connectedness: the time-domain approach developed by Diebold and Yilmaz (2012) and the method based on frequency dynamics developed by Barunik and Krehlik (2018). We find that the return spillover mainly occurs in the short term; however, the volatility spillover mainly occurs in the long term. From the moving window analysis results, the impact of COVID-19 created an unprecedented level of risk, such as plummeting oil prices and triggering the US stock market circuit breaker four times, which caused investors to suffer heavy losses in a short period. Furthermore, the impact of COVID-19 on the volatility of the oil and stock markets exceeds that caused by the 2008 global financial crisis, and continues to have an effect. The impact of the COVID-19 pandemic on financial markets is uncertain in both the short and long terms. Our research provides some urgent and prominent insights to help investors and policymakers avoid the risks in the crude oil and stock markets because of the COVID-19 pandemic and reestablish economic development policy strategies.     

When bitcoin lost its position: Cryptocurrency uncertainty and the dynamic spillover among cryptocurrencies before and during the COVID-19 pandemic

This paper examines the dynamic spillovers among the major cryptocurrencies under different market conditions and accounts for the ongoing COVID-19 health crisis. We also investigate whether cryptocurrency policy (CCPO) uncertainty and cryptocurrency price (CCPR) uncertainty affect the dynamic connectedness. We adopt the Quantile-VAR approach to capture the left and right tails of the distributions corresponding to return spillovers under different market conditions. Generally, cryptocurrencies show heterogeneous responses to the occurrence of the COVID-19 pandemic. We find that the total spillover index (TCI) varies across quantiles and rises widely during extreme market conditions, with a noticeable impact of the COVID-19 pandemic. Bitcoin lost its position as a dominant “hedger” during the health crisis, while Litecoin became the most dominant “hedger” and/or “safe-haven” asset before and during the pandemic period. Moreover, our analysis shows a significant impact of market uncertainties on total and net connectedness among the five cryptocurrencies. We argue that the COVID-19 pandemic crisis plays a vital role on the relationship between CCPO as well as CCPR and the dynamic connectedness across all market conditions.     

Risk contagion of COVID-19 in Japanese firms: A network approach

The novel coronavirus disease (COVID-19) is one of the worst pandemics in human history. Our research objective is to assess the contagion effect on Japanese firms and to evaluate the Japanese government's COVID-19 measures during the period from April 7, 2020, to May 25, 2020. We propose a susceptible-infected-recovered-dead model for COVID-19 and derive COVID-19 parameters for Japan. Subsequently, we analyze the effect of COVID-19 on Japanese firms through correlation-based network and credit risk analyses. The main findings are that the Tokyo Stock Price Index moved in the opposite direction of COVID-19 parameters and COVID-19 parameters are almost the only risk factors that impact a firm's credit risk during the period. Finally, we find that the interconnection analysis between the COVID-19 infection network and the financial networks contribute to the existing pandemic risk management knowledge.     

新冠肺炎疫情对发展中国家与新兴经济体包容性增长的影响研究

新冠肺炎疫情对全球经济发展造成巨大冲击,尤其给发展中国家与新兴经济体的包容性增长带来严重影响。本文通过分析新冠肺炎疫情对发展中国家和新兴经济体包容性增长的影响,总结发展中国家和新兴经济体在疫情冲击下的宏观经济政策,发现疫情对发展中国家与新兴经济体包容性增长产生的严重冲击主要包括经济遭受重创、贫困人口大幅反弹、收入不平等加剧和失业率上升等。基于此,提出发展中国家与新兴经济体要通过强化疫情防控、多种政策工具协同发力和加大对弱势群体的帮扶力度等措施,减弱疫情的影响,促进包容性增长。     

Exploring the Impacts of the COVID-19 Pandemic on Productivity: A Study of Accounting Faculty Who Are Caregivers of Children*

This study explores how the COVID-19 pandemic affected the productivity of accounting faculty who identify as caregivers of children. We examine the effects on caregivers of children because of the significant shift in the family-work interface that resulted from remote working and learning. We draw on existing family-work conflict research to develop four hypotheses that explore why the productivity of accounting faculty who are caregivers of children might be affected differently during the pandemic than that of accounting faculty who are non-caregivers of children. We surveyed accounting faculty primarily across Canada and the United States. We find that accounting faculty caring for children during the pandemic experienced reduced research, teaching, and service productivity because of increased family-work conflict and depletion. We supplement our main findings with an analysis of open-ended questions to further understand productivity changes and supports for research, teaching, and service. Our study contributes to research examining family-work conflict, employee productivity, and the accounting profession by making practical recommendations for providing targeted support for caregivers of children during times of crisis.     

Analyst Research Activity During the COVID-19 Pandemic

This paper documents that, in response to the COVID-19 pandemic, analysts increase their research activity and significantly revise their forecasts when compared to the pre-pandemic period. Uncertainty-adjusted forecast errors are either comparable or smaller during the pandemic compared to the pre-pandemic period. Investor attention and price reactions to analyst forecast revisions are higher during the pandemic and the effect is stronger in periods where investors actively search for information about firms. During the pandemic, investors value analyst price discovery role more than their role in interpreting public information. Jointly, the results suggest that analysts play an important information intermediation role during the COVID-19 pandemic.     

COVID-19, a blessing in disguise for the Tech sector: Evidence from stock price crash risk

In this paper we document that although COVID-19 has brought uncertainties to the overall economy, the Technology (tech) sector is the systematic beneficiary of the pandemic. Using a quasi-natural setup, we find a significant notion that the Stock Price Crash Risk (SPCR) of firms within the Tech sector decreases during the COVID-19 pandemic compared to the recent past and firms belonging to other sectors. Our analyses further reveal that firms in the Tech sector with stronger external monitoring and better information environment receive an even greater advantage from the pandemic. Overall, our study suggests that the higher systemic dependency on the Tech sector during the COVID-19 outbreak results in an economic benefit for this sector.     

Lost Generations: Long-Term Effects of the COVID-19 Crisis on Job Losers and Labour Market Entrants,and Options for Policy*

This paper discusses the potential long-run effects of large-scale unemployment during the COVID-19 crisis in the labour market on vulnerable job losers and labour market entrants in the United States. The paper begins by contrasting measures of the scale of job loss during the crisis. These measures are paired with estimates from past recessions indicating that the costs of job loss and unemployment can reduce workers’ earnings and raise their mortality for several decades. Focusing only on a subset of vulnerable job losers, the potential lifetime earnings losses from job loss related to the COVID-19 pandemic are predicted to be up to $2 trillion. Related losses in employment could imply a lasting reduction in the overall employment–population ratio. For these workers, losses in potential life years could be up to 24 million. Even at the low range, the resulting estimates are substantially larger than losses in potential life years from deaths directly due to COVID-19. New labour market entrants are at risk to suffer long-term losses in earnings and mortality as well. Based partly on experiences in other countries, the paper discusses potential reforms to short-time compensation programmes and unemployment insurance, which could help limit the short- and long-term harm from layoffs going forward.