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We employ extreme value theory to identify stock price crashes, featuring low-probability events that produce large, firm-specific negative outliers in the conditional distribution. Traditional methods employ approximations under Gaussian assumptions and central moments. This is inherently...
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To study coordination in complex social systems such as financial markets, the authors introduce a new prediction market set -up that accounts for fundamental uncertainty. Nonetheless, the market is designed so that its total value is known, and thus its rationality can be evaluated. In two...
Persistent link: https://www.econbiz.de/10012001782
A vast literature investigating behavioural underpinnings of financial bubbles and crashes relies on laboratory experiments. However, it is not yet clear how findings generated in a highly artificial environment relate to the human behaviour in the wild. It is of concern that the laboratory...
Persistent link: https://www.econbiz.de/10012001796
We propose that speculative trading arising from the joint effect of investor disagreement and short-sale constraints plays an important role in explaining the idiosyncratic volatility (IVOL) puzzle, the correlation among IVOL, market beta and trading volume, and the co-movement of IVOL....
Persistent link: https://www.econbiz.de/10013234143
To study coordination in complex social systems such as financial markets, the authors introduce a new prediction market set-up that accounts for fundamental uncertainty. Nonetheless, the market is designed so that its total value is known, and thus its rationality can be evaluated. In two...
Persistent link: https://www.econbiz.de/10012231540
We provide an entropy approach for measuring asymmetric comovement between the return on a single asset and the market return. This approach yields a model-free test for stock return asymmetry, generalizing the correlation-based test proposed by Hong, Tu, and Zhou (2007). Based on this test, we...
Persistent link: https://www.econbiz.de/10012856552
This paper explores the issue that the idiosyncratic volatility (IVOL) puzzle documented in Ang et al. (2006) can partly be attributed to estimation bias when assessing systematic risk with information not in investor’s information set. We first analytically show that there exists a...
Persistent link: https://www.econbiz.de/10013295450