Showing 1 - 9 of 9
Persistent link: https://www.econbiz.de/10012164694
Persistent link: https://www.econbiz.de/10011996785
Persistent link: https://www.econbiz.de/10012174201
We propose a new measure of financial intermediary constraints based on how the intermediaries manage their tail risk exposures. Using a unique dataset for the trading activities in the market of deep out-of-the-money S&P 500 put options, we identify periods when the variations in the net amount...
Persistent link: https://www.econbiz.de/10012905688
We propose a new measure of financial intermediary constraints based on how the intermediaries manage their tail risk exposures. Using data for the trading activities in the market of deep out-of-the-money S&P 500 put options, we identify periods when the variations in the net amount of trading...
Persistent link: https://www.econbiz.de/10012891794
We introduce an information-based fragility measure for GMM models that are potentially misspecified and unstable. A large fragility measure signifies a GMM model's lack of internal refutability (weak power of specification tests) and external validity (poor out-of-sample fit). The fragility of...
Persistent link: https://www.econbiz.de/10012856937
We introduce an information-based fragility measure for GMM models that are potentially misspecified and unstable. A large fragility measure signifies a GMM model's lack of internal refutability (weak power of specification tests) and external validity (poor out-of-sample fit). The fragility of...
Persistent link: https://www.econbiz.de/10012858416
We propose a new measure of financial intermediary constraints based on how the intermediaries manage their tail risk exposures. Using data for the trading activities in the market of deep out-of-the-money S&P 500 put options, we identify periods when the variations in the net amount of trading...
Persistent link: https://www.econbiz.de/10012479526
We introduce an information-based fragility measure for GMM models that are potentially misspecified and unstable. A large fragility measure signifies a GMM model's lack of internal refutability (weak power of specification tests) and external validity (poor out-of-sample fit). The fragility of...
Persistent link: https://www.econbiz.de/10012480441