This paper features the application of a novel and recently developed method of statistical and mathematical analysis to the assessment of financial risk: namely Regular Vine copulas. Dependence modeling using copulas is a popular tool in financial applications, but is usually applied to pairs...

We propose a new method for multivariate forecasting which combines the Generalized Dynamic Factor Model (GDFM) and the multivariate Generalized Autoregressive Conditionally Heteroskedastic (GARCH) model. We assume that the dynamic common factors are conditionally heteroskedastic. The GDFM,...

We test the importance of multivariate information for modelling and forecasting inflation's conditional mean and variance. In the literature, the existence of inflation's conditional heteroskedasticity has been debated for years, as it seemed to appear only in some datasets and for some lag...

We propose a new model for volatility forecasting which combines the Generalized Dynamic Factor Model (GDFM) and the GARCH model. The GDFM, applied to a large number of series, captures the multivariate information and disentangles the common and the idiosyncratic part of each series of returns....

In a panel of West African countries, we investigate whether data on immigrant remittance flows can be used to improve on predictive accuracy of aggregate demand in a systematic way. The results of the prediction experiments are compared to traditional significance tests of asymmetric error...

The evaluation of forecasts performance of market expectations about the Brazilian inflation rate (Focus survey) is important given the prominent role of these expectations in the conduction of monetary policy in Brazil. Lima e Céspedes (2006) showed that, in the period 2000.1 2005.4, several...

The aim of this study is to determine whether accruals have information value beyond that provided by isolated current cash flows for the prediction of future cash flows. Using a sample of 4,397 Spanish companies (mostly privately held), we estimate in-sample regressions of future cash flows on...

Nach einem neuen methodischen Prognosekonzept, das arbeitsmarktbezogene Internetdaten nutzt, entspannt sich zum Frühjahr 2009 die Arbeitsmarktlage. Das Papier erläutert die Technik der Prognose der Arbeitslosigkeit unter Nutzung der Messung der Google-Suchaktivität und illustriert die...

Die große Wirtschaftskrise hat bisher nur verhaltene Spuren am Arbeitsmarkt hinterlassen. Angesichts der unsicheren weiteren konjunkturellen Entwicklung, der schlechten Auslastung der Arbeitskräfte in den Unternehmen und der hohen Kurzarbeit erwarten viele Beobachter zum Herbst einen...

This paper examines stationary and nonstationary time series by formally testing for the presence of unit roots and seasonal unit roots prior to estimation, model selection and forecasting. Various Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) models are estimated over the period...