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This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the potential for different models to provide inconsistent outcomes, is shown to be increasing with and caused by market uncertainty. During calm periods, the underlying risk...
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Epidemics are often modeled using non-linear dynamical systems observed through partial and noisy data. In this paper, we consider stochastic extensions in order to capture unknown influences (changing behaviors, public interventions, seasonal effects, etc.). These models assign diffusion...
Persistent link: https://www.econbiz.de/10010746158
We introduce a copula-based dynamic model for multivariate processes of (non-negative) high-frequency trading variables … multiplicative error model we map the resulting residuals into a Gaussian domain using a Gaussian copula. Based on high … proposed copula-based transformation is supported by the data and allows capturing (multivariate) dynamics in higher order …
Persistent link: https://www.econbiz.de/10010958506
We propose an iterative procedure to efficiently estimate models with complex log-likelihood functions and the number of parameters relative to the observations being potentially high. Given consistent but inefficient estimates of sub-vectors of the parameter vector, the procedure yields...
Persistent link: https://www.econbiz.de/10010958791
consistent framework. Credit spreads are modelled by geometric Brownian motions with a dependence structure powered by a t-copula …
Persistent link: https://www.econbiz.de/10010745286
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This report summarises the findings of an ad hoc working group that reviewed the academic literature relevant to the regulatory framework for the trading book. This project was carried out in the first half of 2010 acting upon a request from the Trading Book Group to the Research Task Force of...
Persistent link: https://www.econbiz.de/10009238143
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