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This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the … periods, the underlying risk forecast models produce similar risk readings; hence, model risk is typically negligible. However … the reliability of risk readings. Finally, particular conclusions on the underlying reasons for the high model risk and …
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We present a method for computing a normalized measure of model risk. The method is based on the definition of a …
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Despite the widespread realization that financial models for contingent claim pricing, asset allocation and risk …
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We develop a method to identify the most important predictors of long-term asset returns and use it to analyze the impact of model uncertainty on long-term investors. We find that the impact of model uncertainty changes a lot over time which leads to considerable time-variation in all moments of...
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risk and market dynamics. This paper demonstrates how macroeconomic factor models, based on Bayesian model averaging (BMA …), can help address the challenges in some specific investment analytic tasks from three perspectives: (1) selecting risk … factors and estimating risk factor exposure in risk allocation, (2) modeling the dynamic exposure of multiple asset classes to …
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