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Titlebook: Mathematical and Statistical Methods for Actuarial Sciences and Finance; MAF 2018 Marco Corazza,María Durbán,Marilena Sibillo Book 2018 Spr

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楼主: gratuity
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Inference in a Non-Homogeneous Vasicek Type Model,e deterministic time-dependent functions. The stochastic inference based on discrete sampling in time is established using a methodology based on the moments of the stochastic process. In order to evaluate the goodness of the proposed methodology a simulation study is discussed.
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Combining Multivariate Volatility Models,adaily returns. Examples of the former are the Multivariate GARCH (MGARCH) models while models fitted to Realized Covariance (RC) matrices are examples of the latter. A second option, strictly related to the RC matrices, is given by the identification of the frequency at which the intradaily returns
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Automatic Detection and Imputation of Outliers in Electricity Price Time Series,reme prices. The present study relates to a method for automatically determining and replacing outliers. The core of our method is the construction of a reference time series through the rolling decomposition into trend-cycle and seasonal components of the original time series. Deviations of residua
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Bayesian Factorization Machines for Risk Management and Robust Decision Making, the past, can be made with more confidence than others, that correspond to more innovative strategies. Selecting a few relevant features of the predicted probability distribution leads to a . problem, and the Pareto front contains the most interesting media plans. Using expected return and standard
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The Bank Tailored Integrated Rating,Mantovani et al., Int Res J Appl Finance IV:458–489, 2013 and Mantovani et al., J Bus Econ Finance 3:18–49, 2014 regarding the heterogeneity risk analysis in corporate firms), named bank tailored integrated rating (BTIR). The approach is inherently coherent with the challenging frontier of forecasti
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