__Abstract__ The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects. We modify the jump-robust two time scale covariance estimator of Boudt and Zhang (2013) such that the estimated matrix is positive definite. Using this approach we can...

A new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical maximum likelihood (ML) method in the...

Since 1973, INSEE provided each year, some statistics about French sectoral and regional (departmental one, since 2002) wage-earning and non wage-earning job. This statistics works is heavy and spend a long time to check all collected and calculated data because the level of disaggregation is...

Forecasting using factor models based on large data sets have received ample attention due to the models’ ability to increase forecast accuracy with respect to a range of key macroeconomic variables in the US and the UK. However, forecasts based on such factor models do not uniformly...

In this study some alternative forecasts for the unemployment rate of USA made by four institutions (International Monetary Fund (IMF), Organization for Economic Co-operation and Development (OECD), Congressional Budget Office (CBO) and Blue Chips (BC)) are evaluated regarding the accuracy and...

In this paper article, two strategies based on the econometric approach are proposed in order to improve the forecast accuracy of GDP index in Romania. First, the index is predicted starting from an econometric model that reflects the relationship between the GDP index and the GDP deflator....

Econometric modeling of the exchange rate saw successive progresses, the forecasts based on the ‘70s models having a rather good accuracy, as recent researches showed. In order to explain the monthly evolution of RON/USA exchange rate during 2007-June 2011, I used three econometric models: a...

The aggregation of the variables that compose an indicator, as GDP, which should be forecasted, is not mentioned explicitly in literature as a source of forecasts uncertainty. In this study based on data on U.S. GDP and its components in 1995-2010, we found that GDP one-step-ahead forecasts made...