We estimate and test the conditional version of an international capital asset pricing model using a parsimonious multivariate GARCH process and the multivariate nonlinear least squares method. Since our approaches are fully parametric, we can recover a

This article attempts to examine whether the equity premium in the United States can be predicted from a comprehensive set of 18 economic and financial predictors over a monthly out-of-sample period of 2000:2 to 2011:12, using an in-sample period of 1990:2-2000:1. To do so, we consider, in...

his paper attempts to predict the bear conditions on the US stock market. To this aim we elaborate simple predictive regressions, static and dynamic binary choice (BCM) as well as Markov-switching models. The in- and out-of-sample prediction ability is evaluated and we compare the forecasting...

Among the most popular techniques for portfolio insurance strategies that are used nowadays, the so-called \Constant Proportion Portfolio In- surance" (CPPI) allocation simply consists in reallocating the risky part of a portfolio according to the market conditions. This general method crucially...

This article investigates the dynamics of regional financial integration and its determinants in an international setting. We test a conditional version of the international capital asset pricing model (ICAPM) accounting for the deviations from purchasing power parity (PPP) as well as temporal...

Over recent years, several emerging market regions have actively taken part in globalisation movements and world market integration. However, the financial integration processes appear to vary over time, and differ considerably from one region to another. This paper investigates intraregional...

This paper employs a conditional version of the International Capital Asset Pricing Model (ICAPM) to investigate the determinants of regional integration of stock markets in the Latin America over the period 1996-2008. This model allows for three sources of time-varying risks: common regional...

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four major commodities (crude oil, natural gas, gold, and sil- ver). A broad set of the most popular linear and nonlinear GARCH-type models is used to...

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four widely traded commodities (crude oil, natural gas, gold, and silver). A broad set of the most popular linear and