We consider the extent to which different time-series models can generate simulated data with the same business cycle features that are evident in U.S. real GDP. We focus our analysis on whether multivariate linear models can improve on the previously documented failure of univariate linear...

In empirical work on multivariate financial time series, it is common to postulate a Multivariate GARCH model. We show that the popular Gaussian quasi-maximum likelihood estimator of MGARCH models is very sensitive to outliers in the data. We propose to use robust M-estimators and provide...

In this paper we present the extension of the copula approach to aggregation functions. In fact we want to focus on a class of aggregation functions and present them in the multilinear form with marginal copulae. Moreover we will define also the joint aggregation density function

We consider three sorts of diagnostics for random imputations: (a) displays of the completed data, intended to reveal unusual patterns that might suggest problems with the imputations, (b) comparisons of the distributions of observed and imputed data values, and (c) checks of the fit of observed...

Electronic recommendation agents have the potential to be valuable e-service tools in increasing consumer decision quality. Such agents are aimed at assisting consumers in the decision-making process and have the ability to enable consumers to make better choices for themselves. The definition...

An argument of Kihlstrom and Mirman concerning comparative risk aversion with many goods is formalized. Taking "more risk averse" to mean that an individual is less willing to accept a risky lottery or the riskiest of two lotteries, it is shown that risk aversion cannot be compared across...

This paper introduces a new approach to modelling the conditional variance in a multivariate setting. It is essentially a combination of the popular GARCH model class with a spatial component, inspired by generalized space-time models. The resulting spatial GARCH model takes into account both...

This study seeks to regress the forward P/Es on firms' fundamentals as measured on global market basis. Starting from theoretical premises (DDM), the paper develops a linear multivariate model in order to capture (for US, Australia / New Zeland / Canada, Europe, Japan and Emerging Markets quoted...

In this Dissertation the empirical results of the multivariate analysis of investigation of the key drivers of Banks performance and comparative analysis of the Banking industry profitability in the UK and the USA in the years preceding, during, and after global financial crisis - from 2005 to...

We consider a Bayesian decision problem in which an agent must draw inferences about multiple unobserved variables. This problem appears in different economic settings, for instance in the theory of agency. Assume that both observed and unobserved variables are ordered. We say that the inference...