features of the approaches in a real dataset. -- generalized additive models ; GAMs ; simulation ; smoothing …P(enalized)-splines and fractional polynomials (FPs) have emerged as powerful smoothing techniques with increasing … restricted maximum likelihood (REML) for smoothing parameter selection. We evaluated the ability of P-splines and FPs to recover …

the underlying statistical distributions, a variety of analyticalmethods and simulation-based methods are available. Aside … orhistorical and Monte Carlo simulation methods. Although these approaches to overall VaR estimation have receivedsubstantial … and incremental VaR in either a non-normal analytical setting or a MonteCarlo / historical simulation context.This paper …

This appendix extends simulation and empirical results reported in Mancini and Trojani (2010). It discusses the choice … forecast evaluation; provides additional Monte Carlo simulation results on GARCH model estimation and VaR prediction; extends …