Abstract:We use the horrific events of September 11, 2001 ("nine-eleven") as a natural test of the hypothesis that closed-end mutual fund discounts from fund net asset values reflect small investor sentiment. Because nine-eleven was a sudden, unforeseen, and significantly negative and exogenous shock to the world, the capital markets, and investor sentiment, our test avoids many of the problems of extant studies. Discounts worsened dramatically following the event, and then recovered alongside the broader market. This … Show more
“…Hence, our findings do not support the contention in Burch et al (2003) that the pattern in closed-end fund discounts following large market-wide shocks is driven by the sentiment of investors who look to the broader market's overall movement for guidance.…”
Section: Introductioncontrasting
confidence: 99%
“…In the event that financial intermediaries would need to sell assets to meet these requirements, prices would fall still further. 14 In this environment where financial intermediaries become consumers of 13 Despite the marked persistence in mean discounts and notwithstanding the low power of standard unit root tests, the augmented Dickey-Fuller and Phillips-Perron test statistics at À2.817 and À2.815 (computed on the full sample period) confirm that discounts are stationary in line with the findings in Pontiff (1995) and Burch et al (2003). In our analysis, a model is fitted to the average discount.…”
Section: The Decay In Mispricing and The Market-wide Nature Of Shockssupporting
confidence: 51%
“…Third, Burch et al (2003) investigate the post-'Nine-Eleven' discount behaviour on a sample of US-traded equity and bond closed-end funds. They find that discounts widen significantly from 3.3% on the last trading Friday before the 9/11 shock (seventh September 2001) to 7.7% on the first trading Friday post-shock (21st September).…”
Section: Background Literaturementioning
confidence: 99%
“…Although several studies (Thompson, 1978;Anderson, 1986;Pontiff, 1995) investigate the long-term behaviour of the discount, no study, apart from Burch et al (2003), examines the short-term discount pattern during periods of market stress. In contrast to Burch et al, however, we do not limit ourselves to investigating the closed-end fund price reaction to the 9/11 terrorist attacks.…”
“…Hence, our findings do not support the contention in Burch et al (2003) that the pattern in closed-end fund discounts following large market-wide shocks is driven by the sentiment of investors who look to the broader market's overall movement for guidance.…”
Section: Introductioncontrasting
confidence: 99%
“…In the event that financial intermediaries would need to sell assets to meet these requirements, prices would fall still further. 14 In this environment where financial intermediaries become consumers of 13 Despite the marked persistence in mean discounts and notwithstanding the low power of standard unit root tests, the augmented Dickey-Fuller and Phillips-Perron test statistics at À2.817 and À2.815 (computed on the full sample period) confirm that discounts are stationary in line with the findings in Pontiff (1995) and Burch et al (2003). In our analysis, a model is fitted to the average discount.…”
Section: The Decay In Mispricing and The Market-wide Nature Of Shockssupporting
confidence: 51%
“…Third, Burch et al (2003) investigate the post-'Nine-Eleven' discount behaviour on a sample of US-traded equity and bond closed-end funds. They find that discounts widen significantly from 3.3% on the last trading Friday before the 9/11 shock (seventh September 2001) to 7.7% on the first trading Friday post-shock (21st September).…”
Section: Background Literaturementioning
confidence: 99%
“…Although several studies (Thompson, 1978;Anderson, 1986;Pontiff, 1995) investigate the long-term behaviour of the discount, no study, apart from Burch et al (2003), examines the short-term discount pattern during periods of market stress. In contrast to Burch et al, however, we do not limit ourselves to investigating the closed-end fund price reaction to the 9/11 terrorist attacks.…”
“…Chen and Siems (2004) study fewer than twenty events and conclude that, although stock market returns are generally negative, U.S. capital markets are more resilient now than they have been in the past and recover sooner than other capital markets. Burch, Emery, and Fuerst (2003) study the impact of the 9/11 terrorist attacks on closed-end mutual fund discounts and find that discounts worsened dramatically following the event, presumably as a reflection of negative sentiment, but subsequently recovered alongside the broader market. Our study also focuses on immediate impact as it seeks to isolate the sentiment-based response to terrorism and to identify any predictable patterns in equity returns.…”
This study examines a comprehensive data set of all terrorist activities that directly affected Americans between 1973 and 2003, exploring the reaction of hospitality stocks to these events. Hospitality stocks' returns following terrorist events are well in excess of those experienced by the rest of the stock market, beating the market by 10 to 15 percent per annum. These results persist despite controls for the type of event, number of casualties, location of the event, changes in market risk, and resulting impacts on room demand and average daily rates. The most severe one hundred events, after an initial negative reaction, are followed by returns nearly four times larger than those of the average event. Findings are consistent with sentiment playing a substantial role in hospitality stock returns.
Are large biological extinctions such as the Cretaceous/Tertiary KT boundary due to a meteorite, extreme volcanic activity or self-organized critical extinction cascades? Are commercial successes due to a progressive reputation cascade or the result of a well orchestrated advertisement? Determining the chain of causality for extreme events in complex systems requires disentangling interwoven exogenous and endogenous contributions with either no clear or too many signatures. Here, I review several efforts carried out with collaborators, which suggest a general strategy for understanding the organization of several complex systems under the dual effect of endogenous and exogenous fluctuations. The studied examples are: Internet download shocks, book sale shocks, social shocks, financial volatility shocks, and financial crashes. Simple models are offered to quantitatively relate the endogenous organization to the exogenous response of the system. Suggestions for applications of these ideas to many other systems are offered.
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