Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
No. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
Read article
Conditional Macroeconomic Survey Forecasts: Revisions and Errors
Alexander Glas, Katja Heinisch
Journal of International Money and Finance,
November
2023
Abstract
Using data from the European Central Bank's Survey of Professional Forecasters and ECB/Eurosystem staff projections, we analyze the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the updating and ex-post performance of predictions for inflation, real GDP growth and unemployment are related to beliefs about future oil prices, exchange rates, interest rates and wage growth. While oil price and exchange rate predictions are updated more frequently than macroeconomic forecasts, the opposite is true for interest rate and wage growth expectations. Beliefs about future inflation are closely associated with oil price expectations, whereas expected interest rates are related to predictions of output growth and unemployment. Exchange rate predictions also matter for macroeconomic forecasts, albeit less so than the other variables. With regard to forecast errors, wage growth and GDP growth closely comove, but only during the period when interest rates are at the effective zero lower bound.
Read article
IWH FDI Micro Database
IWH FDI Micro Database The IWH FDI Micro Database (FDI = Foreign Direct...
See page
Wirtschaftswachstum, Staatsfinanzen und Treibhausgas-Emissionen in der mittleren Frist
Katja Heinisch, Oliver Holtemöller, Axel Lindner, Alessandro Sardone, Götz Zeddies
Konjunktur aktuell,
No. 4,
2022
Abstract
Die mittelfristige Projektion der gesamtwirtschaftlichen Lage in Deutschland beinhaltet, dass das Wirtschaftswachstum mit 1% pro Jahr in den kommenden sechs Jahren in etwa genauso hoch ausfällt wie in den vergangenen sechs Jahren. Der Staatshaushalt bleibt im Defizit, aber der Schuldenstand geht relativ zum Bruttoinlandsprodukt ab dem Jahr 2024 wieder zurück. Bei diesem Tempo der wirtschaftlichen Expansion werden die Emissionen mittelfristig zwar weiter zurückgehen, aber deutlich langsamer als nötig, um die nationalen Klimaschutzziele zu erreichen.
Read article
Investment, output gap, and public finances in the medium term: Implications of the Second Supplementary Budget 2021
Andrej Drygalla, Katja Heinisch, Oliver Holtemöller, Axel Lindner, Götz Zeddies
Konjunktur aktuell,
No. 4,
2021
Abstract
Die Bundesregierung plant, mit dem Zweiten Nachtragshaushalt 2021 dem Energie- und Klimafonds eine Rücklage in Höhe von 60 Mrd. Euro zuzuführen. Die Mittel sollen in den Folgejahren in Investitionen in den Klimaschutz und die Transformation der Wirtschaft fließen und zugleich gesamtwirtschaftliche Folgekosten der Pandemie verringern. Diese pandemiebedingten Einbußen sind auch in der mittleren Frist erheblich. Zwar dürften Nachholeffekte beim privaten Konsum die im Jahr 2021 noch deutliche Unterauslastung bis zum Jahr 2024 vollständig verschwinden lassen. Jedoch liegt das Produktionspotenzial in den kommenden Jahren mehr als 1,5% unter dem Ende 2019 vom IWH prognostizierten Wert, vor allem wegen eines geringeren Arbeitsangebots, unter anderem aufgrund deutlich niedrigerer Zuwanderung von Arbeitskräften. Die Investitionen sind gemäß aktueller Mittelfristprojektion im Jahr 2024 ebenfalls noch deutlich niedriger. Die Effekte des Nachtragshaushalts auf Investitionstätigkeit und Produktion lassen sich mit Hilfe des finanzpolitischen Simulationsmodells des IWH abschätzen. Die beabsichtigten Mehrausgaben dürften auf dem Höhepunkt ihrer Wirksamkeit im Jahr 2024 die gesamtwirtschaftliche Aktivität um etwa 0,5% steigern. Allerdings werden die zusätzlichen Investitionen die seit Pandemiebeginn ausgebliebene Investitionstätigkeit bei Weitem nicht kompensieren können. Eine Bewertung des Nachtragshaushals hat die positiven gesamtwirtschaftlichen Effekte zusätzlicher Investitionen und die negativen Effekte auf die Glaubwürdigkeit der Schuldenbremse gegeneinander abzuwägen.
Read article
Conditional Macroeconomic Forecasts: Disagreement, Revisions and Forecast Errors
Alexander Glas, Katja Heinisch
IWH Discussion Papers,
No. 7,
2021
Abstract
Using data from the European Central Bank‘s Survey of Professional Forecasters, we analyse the role of ex-ante conditioning variables for macroeconomic forecasts. In particular, we test to which extent the heterogeneity, updating and ex-post performance of predictions for inflation, real GDP growth and the unemployment rate are related to assumptions about future oil prices, exchange rates, interest rates and wage growth. Our findings indicate that inflation forecasts are closely associated with oil price expectations, whereas expected interest rates are used primarily to predict output growth and unemployment. Expectations about exchange rates and wage growth also matter for macroeconomic forecasts, albeit less so than oil prices and interest rates. We show that survey participants can considerably improve forecast accuracy for macroeconomic outcomes by reducing prediction errors for external conditions. Our results contribute to a better understanding of the expectation formation process of experts.
Read article
Optimizing Policymakers’ Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Macroeconomic Dynamics,
No. 1,
2021
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The expost threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. Given probabilistic model output, it is intuitive that a decision rule is independent of the data or model specification, as thresholds on probabilities represent a willingness to issue a false alarm vis-à-vis missing a crisis. We provide simulated and real-world evidence that this simplification results in stable thresholds and improves out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
Read article
High public deficit not only because of Corona - Medium-term options for action for the state
Andrej Drygalla, Oliver Holtemöller, Axel Lindner, Matthias Wieschemeyer, Götz Zeddies, Katja Heinisch
Konjunktur aktuell,
No. 4,
2020
Abstract
According to the IWH's medium-term projection, Germany's gross domestic product will grow by an average of ½% in price-adjusted terms in the years to 2025, which is 1 percentage point slower than in the period from 2013 to 2019. This is due not only to the sharp slump in 2020, but also to the fact that the labour force will decline noticeably. Government revenues will be expanding much more slowly than in previous years. Even after the pandemic crisis is overcome, the state budget is likely to have a structural deficit of about 2% relative to GDP if the legal framework remains unchanged, and the debt brake will continue to be violated. Consolidation measures to reduce this deficit ratio to ½ % would push production in Germany below the normal rate of capacity utilization. Simulations with the IWH fiscal policy model show that consolidation on the expenditure side would reduce production by less than consolidation on the revenue side. There is much to be said, also from a theoretical point of view, for not abolishing the debt brake, but for relaxing it to some extent.
Read article
Why are some Chinese Firms Failing in the US Capital Markets? A Machine Learning Approach
Gonul Colak, Mengchuan Fu, Iftekhar Hasan
Pacific-Basin Finance Journal,
June
2020
Abstract
We study the market performance of Chinese companies listed in the U.S. stock exchanges using machine learning methods. Predicting the market performance of U.S. listed Chinese firms is a challenging task due to the scarcity of data and the large set of unknown predictors involved in the process. We examine the market performance from three different angles: the underpricing (or short-term market phenomena), the post-issuance stock underperformance (or long-term market phenomena), and the regulatory delistings (IPO failure risk). Using machine learning techniques that can better handle various data problems, we improve on the predictive power of traditional estimations, such as OLS and logit. Our predictive model highlights some novel findings: failed Chinese companies have chosen unreliable U.S. intermediaries when going public, and they tend to suffer from more severe owners-related agency problems.
Read article