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We compare several models for Bear Stearns' credit default swap spreads estimated via a Markov chain Monte Carlo algorithm. The Bayes Factor selects a CKLS model with GARCH-EPD errors as the best model. This model best captures the volatility clustering and extreme tail returns of the swaps...
Persistent link: https://www.econbiz.de/10008866347
We compare several models for Bear Stearns' credit default swap spreads estimated via a Markov chain Monte Carlo algorithm. The Bayes Factor selects a CKLS model with GARCH-EPD errors as the best model. This model captures the volatility clustering and extreme tail returns of the swaps during...
Persistent link: https://www.econbiz.de/10008604810
In this paper, the impact of the accounting rule (SFAS No.8) on stock market is analyzed with a new model, which is based on the 3-factor model of Fama-French (1993), the EGARCH-type volatility of Nelson (1991) and non-Normal distribution of SSAEPD of Zhu and Zinde-Walsh (2009). Fama-French 25...
Persistent link: https://www.econbiz.de/10012933571
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We compare several models for Bear Stearns' credit default swap spreads estimated via a Markov chain Monte Carlo algorithm. The Bayes Factor selects a CKLS model with GARCH-EPD errors as the best model. This model captures the volatility clustering and extreme tail returns of the swaps during...
Persistent link: https://www.econbiz.de/10013147024