This paper provides a unifying framework in which the coexistence of different form of common cyclical features can be tested and imposed to a cointegrated VAR model. This goal is reached by introducing a new notion of common cyclical features, namely the weak form of polynomial serial correlation common features, which encompasses most of the previous ones. Statistical inference is obtained by...

We specify a class of non-linear and non-Gaussian models for which we estimate and forecast the conditional distributions with daily frequency. We use these forecasts to calculate VaR measures for three different equity markets (US, GB and Japan). These forecasts are evaluated on the basis of different statistical performance measures as well as on the basis of their economic costs that go alon...

E 25 26 27 28 29 30 31 32 33 34 Article history: Received 15 November 2012 Received in revised form 25 January 2013 Accepted 29 January 2013 Available online xxxx JEL classification: C15 C32 G13 G15

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC estimation procedure is applied to a portfolio of daily returns on currency futures, government bonds and...

This paper intends to harmonize two different approaches to the analysis of the business cycle and in doing so it retrieves the stylized facts of the business cycle in Europe. We start with the ‘classical’ approach proposed in Burns and Mitchell (1946) of dating and analyzing the business cycle; we then adopt the ‘modern’ alternative: the Markov-switching time series model proposed in Hamilton ...

We investigate non-linearities in the stock return trading volume relationship by using daily data for 16 European countries in an asymmetric vector autoregressive model. In this framework, we test for asymmetries and analyze the dynamic relationship using a simulation based procedure for computing asymmetric impulse response functions. We find that stock returns have a significant influence on...

Article history: Received 17 September 2014 Received in revised form 23 March 2015 Accepted 24 March 2015 Available online 31 March 2015 This paper investigates the dynamic effects of common macroeconomic shocks in shaping business cycle fluctuations in a group of Euro-area countries. In particular, by using the structural (near) VAR methodology, we investigate the effect of area-wide shocks, w...

This paper asks how well a general equilibrium agency cost model describes the dynamic relationship between credit variables and the business cycle. A Bayesian VAR is used to obtain probability intervals for empirical correlations. The agency cost model is found to predict the leading, countercyclical correlation of spreads with output when shocks arising from the credit market contribute to ou...

This paper focuses on portfolio risk forecasting in an asymmetrical framework. Risk is defined by two factors; the dependence structure and the volatility. In order to account for asymmetric dependencies, the return series’ interdependence is estimated via a Copula approach rather than the correlation matrix. This allows to capture tightening dependence during market turmoils and loose dependen...

Within the approaches that have been applied to assess the impact of public capital on economic growth, this paper estimates the dynamic effects of public infrastructures using a structural vector autoregressive (SVAR) methodology for the Spanish regions. From a methodological point of view, our work contains different innovative features with respect to the previous studies using VAR models. T...