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Stock Market Crashes and the Performance of Circuit Breakers: Empirical Evidence

Journal of Finance 1993 48(5), 1909
This study examines the behavior of a small stock market with circuit breakers and with a one-hour preauction order imbalance disclosure, during the October 1987 crash. The crash and its aftershocks lasted for a week and selling pressure was concentrated in higher beta, larger capitalization, and lower leverage firm stocks. Circuit breakers when implemented reduced the next-day opening order imbalance and the initial price loss; however, they had no effect on the long-run response. Some price overreaction and reversal phenomena also are documented.

Stock Market Crashes and the Performance of Circuit Breakers: Empirical Evidence

Journal of Finance 1993 48(5), 1909-1925
This study examines the behavior of a small stock market with circuit breakers and with a one‐hour preauction order imbalance disclosure, during the October 1987 crash. The crash and its aftershocks lasted for a week and selling pressure was concentrated in higher beta, larger capitalization, and lower leverage firm stocks. Circuit breakers when implemented reduced the next‐day opening order imbalance and the initial price loss; however, they had no effect on the long‐run response. Some price overreaction and reversal phenomena also are documented.

The determinants of CDS spreads

Journal of Banking & Finance 2014 41, 271-282
This study proposes models that can be used as shorthand analysis tools for CDS spreads and CDS spread changes. For this purpose, we examine the determinants of CDS spreads and spread changes on a broad database of 718 US firms during the period from early 2002 to early 2013. Contrary to previous studies, we find that market variables have explanatory power after controlling for firm-specific variables inspired by structural models. Three explanatory variables appear to outperform the other variables examined in this paper: Stock Return, the change in stock return volatility, and the change in the median CDS spread in the rating class. We also find that models used in the event study literature to explain spread changes can be improved by adding market variables. Furthermore, we show that ratings explain cross-sectional variation in CDS spreads even after controlling for structural model variables.