The recently proposed class of MixN-GARCH models, which couple a mixed normal distributional structure with linked GARCH-type dynamics, has been shown to offer a plausible decomposition of the contributions to volatility, as well as admirable out-of-sample forecasting performance, for financial...

Most time series models used in econometrics and empirical finance are estimated withmaximum likelihood methods, in particular when interest centers on density and Value{at{Risk (VaR) prediction. The standard maximum likelihood principle implicitly placesequal weight on each of the observations...

A small strand of recent literature is occupied with identifying simultaneity in multipleequation systems through autoregressive conditional heteroscedasticity. Since thisapproach assumes that the structural innovations are uncorrelated, any contemporaneousconnection of the endogenous variables...

We propose a new dynamic model for volatility and dependence in high dimensions, that allows for departuresfrom the normal distribution, both in the marginals and in the dependence. The dependence is modeled with adynamic canonical vine copula, which can be decomposed into a cascade of bivariate...

Asset-backed securitisation (ABS) is an asset funding technique that involvesthe issuance of structured claims on the cash flow performance of a designatedpool of underlying receivables. Efficient risk management and asset allocation inthis growing segment of fixed income markets requires both...

This empirical study analyzes market and currency risk premia during financial and political crises within the theoretical framework of the international asset pricing model of Adler and Dumas (1983). The econometric specification extends the multivariate GARCH approach of De Santis and Gerard...

We investigate the consequences for value-at-risk and expected shortfall purposes of using a GARCH filter on various mis-specified processes. In general, we find that the McNeil and Frey (2000) two step procedure has very good forecasting properties. Using an unconditional non filtered tail...

This paper shows that in financial markets with endogenous asset supply and demand, both rational and noise traders do coexist in the long run. The finding implies that financial markets are neither informationally nor allocationally efficient. While rational traders have a consistently higher...

We consider time series models in which the conditional mean of the response variable given thepast depends on latent covariates. We assume that the covariates can be estimated consistentlyand use an iterative nonparametric kernel smoothing procedure for estimating the conditional meanfunction....