Showing 1 - 10 of 11
conduct a pseudo out-of-sample forecasting experiment for the monthly growth rate of Bavarian industrial production. We find … conventional indicators in a monthly forecasting experiment. Exploiting the high-frequency nature of the data, we find that the …
Persistent link: https://www.econbiz.de/10013362425
This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a … pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two … economic forecasting. We additionally take a closer look into the algorithm and ask which indicators get selected. All in all …
Persistent link: https://www.econbiz.de/10011557750
This paper looks into the 'fine print' of boosting for economic forecasting. By using German industrial production for … selected by the boosting algorithm over time and four different forecasting horizons. It turns out that a number of hard … therefore important to forecasting the performance of the German economy. However, there are indicators such as money supply …
Persistent link: https://www.econbiz.de/10011411839
This analysis investigates the predictive power of the most important leading indicators for the German economy, which are provided by the ifo Institute and IHS Markit. We conduct an out-of-sample, real-time forecast experiment for growth of gross domestic product and growth of gross value added...
Persistent link: https://www.econbiz.de/10012174766
Comprehensive and international comparable leading indicators across countries and continents are rare. In this paper, we use a free and instantaneous available source of leading indicators, the ifo World Economic Survey (WES), to forecast growth of Gross Domestic Product (GDP) in 44 countries...
Persistent link: https://www.econbiz.de/10012026466
paper gives a literature overview over existing studies that deal with the forecasting power of various ifo indicators both … powerful tool both for an in-depth business cycle diagnosis and for applied forecasting work. …
Persistent link: https://www.econbiz.de/10012219339
Abreu and Brunnermeier (2003) have argued that bubbles are not suppressed by arbitrageurs because they fail to synchronise on the uncertain beginning of the bubble. We propose an indirect quantitative test of this hypothesis and confront it with the alternative according to which bubbles persist...
Persistent link: https://www.econbiz.de/10011507794
We present a detailed methodological study of the application of the modified profile likelihood method for the calibration of nonlinear financial models characterised by a large number of parameters. We apply the general approach to the Log-Periodic Power Law Singularity (LPPLS) model of...
Persistent link: https://www.econbiz.de/10011514498
The authors assess the performance of the real-time diagnostic, openly presented to the public on the website of the Financial Crisis Observatory (FCO) at ETH Zurich, of the bubble regime that developed in Chinese stock markets since mid-2014 and that started to burst in June 2015. The analysis...
Persistent link: https://www.econbiz.de/10011412033
Inspired by the question of identifying the start time τ of financial bubbles, we address the calibration of time series in which the inception of the latest regime of interest is unknown. By taking into account the tendency of a given model to overfit data, we introduce the Lagrange...
Persistent link: https://www.econbiz.de/10011877499