Modelling spot price behavior plays a key role in the electric- ity market, since this is the breeding engine for the activity in the corre- sponding forward and futures market: developers and generators (as well as traders) need to know how electricity prices behave, as their profitabil- ity...

Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider noninformative and weakly informative...

To measure the economic effects of political movements in China a simple econo-metric model is constructed. Investment is determined by a central planner maximizing a multiperiod objective function. Political events are modeled by exogenous changes in the shocks to productivity and to investment...

The aim of this paper is to study the efficient capital market hypothesis by using recent developments in nonlinear econometrics. In such a context, we estimate a Smooth Transition Error Correction Model (STECM). We introduce the DowJones as an explanatory variable of the dynamics of the other...

Apart from the well-known, high persistence of daily financial volatility data, there is also a short correlation structure that reverts to the mean in less than a month. We find this short correlation time scale in six different daily financial time series and use it to improve the short-term...

We propose to combine recent developments in univariate and multivariate unit root testing in order to construct a more powerful panel unit root test. We extend the GLS-detrending procedure of Elliott, Rothenberg and Stock (1996) to a panel Augmented Dickey-Fuller test. The finite sample power...

We construct a structural econometric model to measure partially the economic effects of political movements in China.

In this paper, the Partial Distribution (PD) and multivariate Partial Distribution (MPD) are presented in their concepts, properties and applications, and PD is compared with the lognormal and the levy distribution. Though the levy distribution is better to describe the exchange returns in...