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Two of the fastest growing frontiers in econometrics and quantitative finance are time series and financial econometrics. Significant theoretical contributions to financial econometrics have been made by experts in statistics, econometrics, mathematics, and time series analysis. The purpose of...
Persistent link: https://www.econbiz.de/10010491413
Two of the fastest growing frontiers in econometrics and quantitative finance are time series and financial econometrics. Significant theoretical contributions to financial econometrics have been made by experts in statistics, econometrics, mathematics, and time series analysis. The purpose of...
Persistent link: https://www.econbiz.de/10010484894
price variation and jumps. This paper proposes a tobit multivariate factor model for the jumps coupled with a standard …
Persistent link: https://www.econbiz.de/10008467332
jumps in asset value or stochastic volatility challenge the robustness of DD. We propose a volatility adjustment of the …
Persistent link: https://www.econbiz.de/10011118085
We develop novel methods for estimation and filtering of continuous-time models with stochastic volatility and jumps …
Persistent link: https://www.econbiz.de/10010892068
In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...
Persistent link: https://www.econbiz.de/10009019649
In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...
Persistent link: https://www.econbiz.de/10010636027
In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...
Persistent link: https://www.econbiz.de/10010304613
In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...
Persistent link: https://www.econbiz.de/10008939079
In this paper, we analyzed a dataset of over 2000 crypto-assets to assess their credit risk by computing their probability of death using the daily range. Unlike conventional low-frequency volatility models that only utilize close-to-close prices, the daily range incorporates all the information...
Persistent link: https://www.econbiz.de/10014350946