The calibration of financial models is laborious, time-consuming and expensive, and needs to be performed frequently by … financial institutions. Recently, the application of artificial neural networks (ANNs) for model calibration has gained interest …. This paper provides the first comprehensive empirical study on the application of ANNs for calibration based on observed …

given point in time (calibration error) and the model risk due to the recalibration of model parameters (in contradiction to …

In this paper, two modified, design-based calibration ratio-type estimators are presented. The suggested estimators … using normal, chi-square, exponential and gamma populations. The results of the study indicate that the proposed calibration …

holds for several standard calibration strategies developed for the model with constant returns, alternative bargaining …

, we propose a new calibration procedure, carry out extensive analyses of parameter stability and assess the goodness of …

) conditions a penalty function considering the calibration fit and deviations from given parameters. To deal with non-convexity, a … provide calibration targets. The approach recovers the true parameters and thus allows for systematic and automated … calibration. …