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...

The present paper embarks on an analysis of interactions between the US and Euroland in the capital, foreign exchange, money and stock markets from 1994 until 2006. Considering influences on financial market volatility, the estimations are carried out in multivariate EGARCH models using...

The present paper analyses interactions between the foreign exchange, money and stock markets in Asian Pacific countries from 1999 till 2006. Considering influences on financial market volatility, the estimations are carried out in multivariate EGARCH models using structural residuals. This...

Market option prices in last 20 years confirmed deviations from the Black and Scholes (BS) models assumptions, especially on the BS implied volatility. Implied binomialtrees (IBT) models capture the variations of the implied volatility known as \volatility smile". They provide a discrete...

This article provides a comprehensive econometric analysis of factors driving aggregate mortality rates over time. It differs from previous studies in this field by simultaneously considering an extensive set of macroeconomic, socio-economic and ecological factors as explanatory variables....

A large body of literature explains the inferior position of unskilled workersby imposing a structural shift in the labor force skill composition. This papertakes a different approach by emphasizing the connection between cyclicalvariations in skilled and unskilled labor markets. Using a...

I explore the implications of the lumpy labor adjustment as a propagation mechanism for aggregate dynamics. The model I use nests the basic RBC model with a staggeredjob-turnover in the spirit of Taylor (1980) and Calvo (1983). It extends this approach by introducing a Weibull-distributed labor...

In recent years, support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a...

This paper offers a new method for estimation and forecasting of the linear and nonlinear time series when the stationarity assumption is violated. Our general local parametric approach particularly applies to general varying-coefficient parametric models, such as AR or GARCH, whose coefficients...

A huge body of empirical and theoretical literature has emerged on the relationship between foreign exchange (FX) uncertainty and international trade. Empirical findings about the impact of FX uncertainty on trade figures are at best weak and often ambiguous with respect to its direction. Almost...