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significantly improve both in-sample model fit and out-of-sample forecasting accuracy. The improvements in forecasting accuracy are …
Persistent link: https://www.econbiz.de/10011108267
Persistent link: https://www.econbiz.de/10011634271
A general formulation of Mixed Proportional Hazard models with K random effects is provided. It enables to account for a population stratified at K different levels. We then show how to approximate the partial maximum likelihood estimator using an EM algorithm. In a Monte Carlo study, the...
Persistent link: https://www.econbiz.de/10014193924
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modelling bias and estimation (in)efficiency. In forecasting, the proposed adaptive approach significantly outperforms a MEM …-frequency processes ; trading volume ; forecasting …
Persistent link: https://www.econbiz.de/10009526607
We compare and evaluate two different approaches to estimate overall survival curvesfrom censored data of recurrent events: (1) standard survival time analysis, and (2) a multistate framework that explicitly estimates the mortality rate during censored periods. With both models, we estimate...
Persistent link: https://www.econbiz.de/10011869851
A bank that lends money to a household faces two types of risk. Most commonly mentioned is the risk of a default. Hardly ever referred to is the risk of an early redemption of the loan - leading to dormancy. We model consumer loans' transition from an active to a dormant state and estimate a...
Persistent link: https://www.econbiz.de/10005190868
Not available.
Persistent link: https://www.econbiz.de/10005423753
We analyze portfolio credit risk in light of dynamic quot;frailty,quot; by which the credit qualities of different firms depend on common unobservable time-varying default covariates. Frailty is estimated to have a large impact on estimated conditional mean default rates, above and beyond those...
Persistent link: https://www.econbiz.de/10003966209
This paper studies the effects of systematic distress and sectoral distress in the context of default …-wide systematic distress and sectoral distress based on distance to default, which is a powerful proxy to evaluate a firm's credit … risk. I find that including such distress factors as covariates can improve the intensity model's performance to predict …
Persistent link: https://www.econbiz.de/10013139978