Abstract:We compare reactions in the prices and trading patterns of common stocks and closed-end funds (CEFs), securities with substantially different investor clienteles, to the Sept. 11, 2001 terrorist attacks. When the market reopened 6 days later, retail investors sold and there were sharp price declines, even in assets with net institutional buying. In the subsequent 2 weeks, price reversals were substantially security specific and thus not simply due to improved systematic sentiment. Consistent with microstructur… Show more
“…Our results indicate that, in line with the torn image that press articles, media reports, and expert opinions paint these days, investors’ trading activities are also not clear-cut. Our findings stand in contrast to investors’ reactions to other shocks that increase uncertainty, such as terrorist attacks, which are associated with reduced flows to risky asset classes ( Wang and Young, 2020 ) and heavy retail investor selling ( Burch et al., 2016 ). While investors increase their trading intensity and more readily open new positions, we nonetheless show that investors act more cautiously following the drop of the Dow on March 12.…”
Section: Discussioncontrasting
confidence: 93%
“…While the aggregate effect of the pandemic on the stock market ( Baker, Bloom, Davis, Kost, Sammon, Viratyosin, 2020a , Ramelli and Wagner, 2020 , Zhang et al., 2020 ) and the spending behavior of households ( Baker et al., 2020b ) have been documented, little is known about the behavior of retail investors during such a turbulent time. Considering that retail trades move stock prices in the direction of their trades ( Barber, Odean, Zhu, 2009 , Burch, Emery, Fuerst, 2016 , Han, Kumar, 2013 ) and in particular retail short selling has predictive ability for future (negative) stock returns ( Kelley and Tetlock, 2016 ), it is, however, important to investigate their behavior in these unprecedented conditions at the micro-level to better understand aggregate market outcomes. We investigate trading patterns and financial risk-taking of a large sample of retail investors based on their individual trading records during the outbreak of COVID-19.…”
Section: Introductionmentioning
confidence: 99%
“…Investor behavior in the aftermath of terrorist activity is associated with more risk averse choices, such as a reduced trading intensity and a reduced flow to risky assets ( Levy, Galili, 2006 , Luo, Chen, Lin, 2020 , Wang, Young, 2020 ). Burch et al. (2016) show heavy retail investor selling in the crisis period set off by 9/11 that drives down asset prices.…”
Highlights
We investigate trading patterns of retail investors during the outbreak of COVID-19.
Investors increase their weekly trading intensity and establish more new positions.
Investors add funds to their accounts and open more new accounts.
Investors significantly reduce the usage of leverage.
Investors marginally increase their tendency to engage in short selling.
“…Our results indicate that, in line with the torn image that press articles, media reports, and expert opinions paint these days, investors’ trading activities are also not clear-cut. Our findings stand in contrast to investors’ reactions to other shocks that increase uncertainty, such as terrorist attacks, which are associated with reduced flows to risky asset classes ( Wang and Young, 2020 ) and heavy retail investor selling ( Burch et al., 2016 ). While investors increase their trading intensity and more readily open new positions, we nonetheless show that investors act more cautiously following the drop of the Dow on March 12.…”
Section: Discussioncontrasting
confidence: 93%
“…While the aggregate effect of the pandemic on the stock market ( Baker, Bloom, Davis, Kost, Sammon, Viratyosin, 2020a , Ramelli and Wagner, 2020 , Zhang et al., 2020 ) and the spending behavior of households ( Baker et al., 2020b ) have been documented, little is known about the behavior of retail investors during such a turbulent time. Considering that retail trades move stock prices in the direction of their trades ( Barber, Odean, Zhu, 2009 , Burch, Emery, Fuerst, 2016 , Han, Kumar, 2013 ) and in particular retail short selling has predictive ability for future (negative) stock returns ( Kelley and Tetlock, 2016 ), it is, however, important to investigate their behavior in these unprecedented conditions at the micro-level to better understand aggregate market outcomes. We investigate trading patterns and financial risk-taking of a large sample of retail investors based on their individual trading records during the outbreak of COVID-19.…”
Section: Introductionmentioning
confidence: 99%
“…Investor behavior in the aftermath of terrorist activity is associated with more risk averse choices, such as a reduced trading intensity and a reduced flow to risky assets ( Levy, Galili, 2006 , Luo, Chen, Lin, 2020 , Wang, Young, 2020 ). Burch et al. (2016) show heavy retail investor selling in the crisis period set off by 9/11 that drives down asset prices.…”
Highlights
We investigate trading patterns of retail investors during the outbreak of COVID-19.
Investors increase their weekly trading intensity and establish more new positions.
Investors add funds to their accounts and open more new accounts.
Investors significantly reduce the usage of leverage.
Investors marginally increase their tendency to engage in short selling.
“…Black swan events, such as epidemics, could lead to a panic-selling response from international investors (Burch et al 2016). Nippani and Washer (2004) found a negative impact of the SARS period on Chinese and Vietnamese stock markets.…”
During crises, stock market volatility generally rises sharply, and as consequence, spillovers are identified across markets. This study estimates the volatility spillover among twelve European stock markets representing all four regions of Europe. The data consists of 10,990 intraday observations from 2 December 2019 to 29 May 2020. Using the methodology of Diebold and Yilmaz, we use static and rolling windows to characterize five-minute volatility spillovers. Our results show that 77.80% of intraday volatility forecast error variance in twelve European markets comes from spillovers. Furthermore, the highest gross directional volatility spillovers are found in Sweden and the Netherlands, while the minimum spillovers to other stock markets are observed in the stock markets of Poland and Ireland. However, German and Dutch markets transmit the highest net directional volatility spillovers. Splitting the whole sample in pre- and post-pandemic declaration (11 March 2020) we find more stable spillovers in the latter. The findings reveal important information about European stock market interdependence during COVID-19, which will be beneficial to both policy-makers and practitioners.
“…Such feelings can initiate a panic-selling response and may result in sharp stock market declines (Burch et al, 2016). Since stock prices incorporate investors' expectations, but may also react to sudden unanticipated shocks, the question of whether terrorism incidents affect stock prices and, if so, to what extent, has attracted increasing interest among scholars.…”
We consider terrorism acts in G7 countries over the period 1998-2017 and examine their impact on a sample of stock market indices from 66 countries. Using an event-study methodology we find that stock markets decline significantly on the event day and on the following trading day. We further consider the investor sentiment following the attacks, based on the content of country-level news stories and social media sources, and find that indices in countries associated with higher declines in the post-event sentiment, exhibit significantly higher economic losses. Our data and results are robust to several settings; these include using samples of events from different studies, excluding the 9/11 terrorist attack from the sample of events, excluding stock market indices of G7 countries from the sample of equity data and utilizing more sophisticated event-study methodologies.
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