Constructing a positive sentiment index for COVID-19: Evidence from G20 stock markets

The present study investigates the degree of market responses through the scope of investors' sentiment during the COVID-19 pandemic across G20 markets by constructing a novel positive search volume index for COVID-19 (COVID19⁺). Our key findings, obtained using a Panel-GARCH model, indicate that an increased COVID19⁺ index suggests that investors decrease their COVID-19 related crisis sentiment by escalating their Google searches for positively associated COVID-19 related keywords. Specifically, we explore the predictive power of the newly constructed index on stock returns and volatility. According to our findings, investor sentiment positively (negatively) predicts the stock return (volatility) during the COVID-19. This is the first study assessing global sentiment by proposing a novel proxy and its impacts on the G20 equity market.     

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.     

Do online searches actually measure future retail investor trades?

Using the total daily amount traded exclusively by retail investors in the Brazilian stock market from 2018 to 2020, we find that online searches exhibit a strong association with the future trades of retail investors and that this relationship is observable under different market conditions. Moreover, we also document that the alternative approaches commonly used in the literature to capture investor attention with online searches, such as tickers versus company names, market index attention versus aggregated individual stock attention, or log-differences versus abnormal log-differences of search volumes, are all consistent measures to capture future investor trades. Overall, our findings strongly support the view that online searches are a coherent proxy for the presence of retail investors in the stock market.     

重大突发公共卫生事件下的金融市场反应

本文旨在评估金融市场对重大突发公共卫生事件的反应,尤其是上市公司所在地的公共治理能力是否会影响上市公司股票收益率。其中,城市公共治理能力以基于实时数据计算的防疫能力和复工复产能力指标来刻画。主要发现如下:第一,防疫能力会影响投资者情绪,但不会直接影响股票收益率;第二,所在地复工复产能力对股票收益率存在正向影响;第三,机制分析表明,经营基本面更容易受疫情影响的企业,如小企业、成长型企业、所在地数字金融基础设施较差的企业,其股票收益率对当地复工复产能力的反应更敏感。本文结论表明,在全国一盘棋的抗疫努力下,投资者对于战胜疫情有信心,短期内复工复产能力对金融市场更重要。从应对措施来看,短期内可对比较脆弱的企业实施精准果断的帮扶,长期内可考虑加强地区防疫能力建设和数字基础设施建设。     

The COVID-19 pandemic: How important is face-to-face interaction for information dissemination?

Does face-to-face interaction still facilitate information transfer despite proliferating communication technologies? We use the COVID-19 collapse in such interactions to examine their influence on information flow in the stock market around earnings announcements. Using daily, county-level abnormal mobility of U.S. residents to proxy for face-to-face interaction, we find that firms located in counties with lower abnormal mobility experience a weaker immediate price reaction to earnings announcements and a larger post-announcement drift. Our findings suggest that lower face-to-face interactions dampen price discovery in financial markets, and that investor attention is a potential mechanism of this effect.     

Investor attention and information diffusion from analyst coverage

This study examines the impact of investor attention and analyst coverage on the diffusion of information. Using trading turnover as a proxy for investor attention, the results show that attention is crucial to the information diffusion from financial analysts. The effect of analyst coverage on improving stock synchronicity is greater when investors are more attentive. Firms with less analyst coverage rely more heavily on investor attention to assimilate information. The lead–lag effect in high and low analyst-following firms is driven by the relative more attention given to firms that have high analyst coverage.     

Market uncertainty and the importance of media coverage at earnings announcements

We investigate whether increased investor demand for financial information arising from higher market uncertainty leads to greater media coverage of earnings announcements. We also investigate whether greater coverage during times of higher uncertainty further destabilizes financial markets because of greater attention-based trading or, alternatively, improves trading and pricing by lowering investor acquisition and interpretation costs. When uncertainty is higher, we find evidence of greater media coverage of earnings announcements and that the greater coverage leads to improvements in investor informedness, information asymmetry, and intraperiod price timeliness, and greater trade by both retail and institutional investors. In contrast to the media serving an expanded role in improving capital markets during more uncertain times, we fail to find that changes in firm-initiated disclosures lead to similar improvements and find that less frequent analyst forecast revisions exacerbate problems in capital markets during earnings announcements.     

Retail investor attention and herding behavior

In this paper, we argue that when individual investors can obtain information from public resources such as Google search, the degree of investor attention to a particular underlying company is positively linked with herding behavior for retail investors. Empirical results confirm that Google Search Volume Index can be a proxy for the information demand of uninformed individual investors. Empirical evidence also shows that reaching the price limit generates an attention-grabbing effect. Further, in general, small cap firms generate more intensive individual investor herding. In addition, we explore the asymmetric impact of abnormal search volume index on individual investor herding behavior for bull and bear markets, and confirm that the individual investor buy herding phenomenon is stronger in bull markets, especially for small capitalization firms. In bear markets, with greater price deterioration for large cap firms, we detect herding behavior on the sell side.     

Information demand during the COVID-19 pandemic

We investigate the demand for financial information during the initial months of the COVID-19 pandemic. Using Google search data for individual stocks, we show that the Abnormal Google Search Volume Index declined significantly between March and June of 2020. We find a similar effect around earnings announcements dates, which confirms that the demand for financial information by retail investors declined during the pandemic. Our results are indicative of potentially important consequences for information diffusion, price discovery and market efficiency under extreme uncertainty. We discuss possible explanations for these results.     

How does the COVID-19 pandemic shape the relationship between Twitter sentiment and stock liquidity of US firms?

Using a new investor sentiment metric derived from Twitter, this paper examines how the pandemic's death rate influences the impact of investor sentiment on stock liquidity. Recent literature remains inconclusive regarding the effect of COVID-19 information and investor sentiment on financial markets. Using panel smooth transition regression (PSTR) for daily data on 338 listed firms in the S&P500 from January 2, 2020, to May 26, 2021, the findings reveal that the impact of Twitter sentiment on stock liquidity is nonlinear and changes over time and across firms in the function of the pandemic's death rate in the US. The results exhibit a threshold level of 4.32%, above which investor sentiment boosts stock liquidity. The speed of the transition from low to high pandemic death rate regime occurred abruptly rather than smoothly. This translates to severe changes in investor perception and demonstrates that investors are rapidly updating their beliefs during the COVID-19 outbreak.     

Pandemic-driven financial contagion and investor behavior: Evidence from the COVID-19

This paper studies the pandemic-driven financial contagion during the COVID-19 period and the impact of investor behavior on it by constructing three types of direct behavior measurements based on Google search volumes. More specifically, using a sample of 26 major stock markets around the world during the COVID-19 pandemic, we construct a non-linear financial contagion network via a dynamic mixture copula-EVT (extreme value theory) model to quantitatively detect and measure the complex nature of pandemic-driven financial contagion. Furthermore, through constructing direct investor behavior measurements including investor attention, sentiment, and fear, we find investor behavior plays an important role in explaining pandemic-driven financial contagion. We also find that the impacts of investor behavior on the pandemic-driven financial contagion are heterogeneous under several different settings, including market conditions, market development levels, regional subsets, and contagion directions.     

Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence

We investigate stock market uncertainty spillovers to commodity markets using wavelet coherence and a general stock market-related Google search trends (GST)-based index to proxy for uncertainty. GST reflect stock market uncertainty over short-, medium- and long-term horizons. Periods of association between GST and the VIX, a widely used proxy for stock market uncertainty, coincide with economic, financial, and geopolitical events. The association between the VIX and GST has grown over time. In line with economic psychology, this implies that during times of heightened uncertainty investors increasingly search for stock market-related information. Our analysis further reveals that some commodities are more susceptible to uncertainty spillovers from stock markets, notably energy commodities. We demonstrate how GST may be used to isolate the impact of specific events and show that COVID-19 had a disproportionate impact on commodity price volatility. We also find that energy, livestock and precious metals are increasingly integrated with stock markets. Spillover analysis repeated using the VIX produces similar results and reflects information that is also reflected in GST, confirming an uncertainty narrative. The use of wavelet analysis and GST to proxy for general and event specific uncertainty offers an alternative perspective to traditional econometric approaches and may be of interest to econometricians, analysts, investors and researchers.     

Investor attention,ETF returns,and country-specific factors

Using the data of 47 single-country exchange-traded funds (ETFs) traded in the U.S. from 36 countries during 2004–2017, this research examines the impact of investor attention proxied by Google Search Volume Index and home country-specific factors on different quantile of their returns. Evidence first shows that compared with U.S. investor attention, home country investor attention largely correlates with low to medium ETF returns, supporting the attention-induced price pressure hypothesis. Second, home country-specific factors significantly affect ETF returns at different conditional quantiles. We also find that investors prefer investing in a country with strong similarity to that of the U.S., supporting the cross-country information asymmetry hypothesis. Third, an intervening effect of home country-specific factors exists on the relationship between U.S. investor attention and ETF returns. These findings should help government authorities find appropriate strategies to attract foreign investment and upgrade the value of their capital market as well as provide a reference on efficiency for equity investors.     

When does attention matter? The effect of investor attention on stock market volatility around news releases

We empirically investigate how retail and institutional investor attention is related to the way stock markets process information. With a focus on 360 US stocks in the S&P 500 universe, our results show that higher retail investors’ attention around news releases increases the post-announcement stock return volatility, whereas institutional investor attention has a small but negative impact on volatility on days following news releases on average over the cross-section of companies. These findings are in line with the hypotheses that attention of retail investors slows price-adjustments to new information and attention of institutional investors results in the opposite reaction. We show that these effects are heterogeneous in the type of news and the topic of the information being released. A portfolio allocation application highlights that these results are not only statistically significant but also sizeable in economic terms and can lead to an overperformance as large as dozens of basis points.     

A leverage-based measure of financial stability

The size and the leverage of financial market investors and the elasticity of demand of unlevered investors define MinMaSS, the smallest market size that can support a given degree of leverage. The financial system’s potential for financial crises can be measured by the stability ratio, the ratio of total market size to MinMaSS. We use that financial stability metric to gauge the buildup of vulnerability in the run-up to the 1998 Long-Term Capital Management crisis and argue that policymakers could have detected the potential for the crisis.     

Stakeholder relations and stock returns: On errors in investors' expectations and learning

A significant number of institutional investors publicly state the belief that corporate stakeholder relations are associated with firm value in a manner that the financial market fails to understand. We investigate whether stakeholder information predicted risk-adjusted returns due to errors in investors' expectations and ultimately ceased to do so as attention for such information increased. We build a stakeholder-relations index (SI) for a wide range of U.S. firms over the period 1992–2009 and provide evidence that the SI explained errors in investors' expectations about firms' future earnings. The SI was positively associated with long-term risk-adjusted returns, earnings announcement returns, and errors in analysts' earnings forecasts over the period 1992–2004. However, as attention for stakeholder issues became more widespread, subsequently, these relationships diminished considerably. The results are consistent with the idea that increased investor attention for stakeholder issues eventually eliminates mispricing.     

DIVERGENT EXPECTATIONS AND THE ASIAN FINANCIAL CRISIS OF 1997

An important question concerning integration of global financial markets is whether local investors in an equity market react differently from international investors, particularly during periods of financial crisis. Considering local investors are closer to information, they might turn pessimistic before foreign investors before a crisis. We examine whether local investors in each of the six Asian stock markets—Indonesia, Korea, Malaysia, the Philippines, Taiwan, and Thailand—reacted differently from international investors during the 1997 Asian financial crisis. Our empirical results indicate that, in general, closed‐end country fund share prices (mainly driven by foreign investors) Granger‐cause the respective net asset values (NAVs, mainly driven by local investors). Moreover, this one‐way Granger‐causality effect from share prices to NAVs becomes much stronger during the crisis period after controlling for U.S. stock returns. Our results suggest international investors turned pessimistic before local investors. JEL classification: G15     

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.     

Retail investor attention and corporate innovation in the big data era

This paper explores the corporate governance role of retail investor attention from the perspective of corporate innovation. Using a sample of Chinese listed firms from 2011 to 2019, we find that retail investor attention significantly promotes corporate innovation. Thisresult ise robust to a series of robustness checks to address potential endogeneity concerns. I further conclude that the impact of retail investor attention on corporate innovation is mainly through alleviating a firm's financial constraints and deterring agency costs. In addition, such effects are more pronounced in firms with higher media and analyst coverage as well as those with more overconfident CEOs. The results provide empirical evidence of the corporate governance function of individual investors in the current digital era.     

Chinese jigsaw: Solving the equity market response to the COVID-19 crisis: Do alternative asset provide effective hedging performance?

Against COVID-19 risks, this paper examines the hedging performance of alternative assets including some financial assets and commodities futures for the Chinese stock market in a multi-scale setting. Dynamic conditional correlations and optimal hedge ratios of the Shanghai stock exchange with Bitcoin, Dow Jones Industrial Average, Gold, WTI, Bonds and VIX returns are estimated before and during the pandemic crisis. In the short-term, the use of wavelet decomposition shows that Bitcoin provides the best hedge to the Shanghai stock market. In the long-term, commodities dominate. Whereas WTI offers the highest hedging effectiveness, Gold ranks second by a slight margin. These results allow investors to choose the highest returns and protecting tail risk during the current sanitary crisis. Our findings suggest particularly more pronounced economic benefit of diversification including alternative financial assets while commodities futures serve as good hedge assets especially during unpredictable crisis like the current sanitary crisis relating to the covid-19.