Forecasts of crude oil prices' volatility are important inputs to many decision making processes in application areas such as macroeconomic policy making, risk management, options pricing, and portfolio management. Despite the fact that a large number of forecasting models have been designed to...

The consistent ranking of multivariate volatility models by means of statistical loss function is a challenging research field, because it concerns the quality of the proxy chosen to replace the unobserved volatility, the set of competing models to be ranked and the kind of loss function. The...

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...

We explore intraday transaction records from NASDAQ OMX Commodities Europe from January 2006 to October 2013. We analyze empirical results for a selection of existing realized measures of volatility and incorporate them in a Realized GARCH framework for the joint modeling of returns and realized...

This article proposes an empirical econometric approach to improve the degree of accuracy for predictions made by Romanian experts in forecasting. Several fixed-effects models are constructed using the inflation and unemployment rate actual values and the forecasts provided by the European...

The main objective of this study is to make a comparative analysis of inflation convergence in Central-Eastern European countries (CEE countries) during the economic crisis over 2008-2013. For Bulgaria, Czech Republic, Hungary, Poland, Romania and Slovakia the inflation convergence has decreased...