Revenue forecasting is one of the most critical and often difficult tasks in governmental budgeting. It is critical because it determines the parameters upon which the budget is based. It is difficult because many outside influences can impact revenue results and cause variances with the...

The Grand Rapids industrial market started slow and steady in the first quarter of 2008 but made up for lost time during the remainder of the year. The vacancy rate decreased from 9.4 percent during the first quarter of 2008 to 7.5 percent at year-end. The consolidation, relocation, and...

The modelling of stock market volatility is considered to be important for practitioners and academics in finance due to its use in forecasting aspects of future returns. The GARCH class models have now firmly established themselves as one of the foremost techniques for modelling volatility in...

Wirtschaftsprognosen sollen die Unsicherheit bezüglich der zukünftigen wirtschaftlichen Entwicklung mindern und Planungsprozesse von Regierungen und Unternehmen unterstützen. Empirische Studien bescheinigen ihnen jedoch in aller Regel ein unbefriedigendes Qualitätsniveau. Auf der Suche nach...

After the collapse of the Bretton Woods system, developing countries, including Georgia, experienced several currency crises followed by severe recessions and deteriorated macroeconomic stability. This creates incentives for policymakers to predict currency crises in a timely manner, and avoid...

This paper looks into the ’fine print’ of boosting for economic forecasting. By using German industrial production for the period from 1996 to 2014 and a data set consisting of 175 monthly indicators, we evaluate which indicators get selected by the boosting algorithm over time and four...

We use a dynamic forecasting model to evaluate a wide array of opportunities for sustained economic growth in Myanmar. Our simulation results suggest that the government of Myanmar can advance potential growth drivers, by maintaining a stable macroeconomic environment that is conducive to...

The ifo Institute is Germany’s largest business survey provider, with the ifo Business Climate Germany as one of the most important leading indicators for gross domestic product. However, the ifo Business Survey is not solely limited to the Business Climate and also delivers a multitude of...

There are many real-world situations in which complex interacting forces are best described by a series of equations. Traditional regression approaches to these situations involve modeling and estimating each individual equation (producing estimates of "partial derivatives") and then solving the...

Forecasting the inflation path is an important task for central banks in an inflation targeting regime. Therefore, central banks must continuously evaluate the forecasting accuracy of the models used to generate inflation forecasts. This paper evaluates the performance of most of the models that...