Should Forecasters Use Real-time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
Abstract
In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of survey data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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04.01.2017 • 2/2017
Worse ratings by U.S. rating agencies for European sovereigns no argument for European rating agency
A new study by the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association shows that the major U.S. rating agencies rated European sovereigns significantly worse than Fitch, which is more “Europe oriented”. Although the findings in part support the claim of some European politicians during the recent debt crisis that there was an “anti-Europe” bias of the U.S. agencies, the study shows that a new European agency would not address this problem. The reason: Market participants would not listen to the new agency.
Reint E. Gropp
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29.09.2016 • 40/2016
Joint Economic Forecast: German Economy on Track – Economic Policy needs to be Realigned
Thanks to a stable job market and solid consumption, the German economy is experiencing a moderate upswing. The GDP is expected to increase by 1.9 percent this year, 1.4 percent in 2017, and 1.6 percent in 2018, according to the Gemeinschaftsdiagnose (GD, joint economic forecast) that was prepared by five of Europe’s leading economic research institutes on behalf of the Federal Government. The most recent GD, which was released in April, predicted a GDP growth rate of 1.6 percent for 2016 and 1.5 percent for 2017.
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02.09.2016 • 35/2016
The German Economy: Still Robust Despite Sliding Sentiment
The prospects for the German economy are still quite favorable. While sentiment indicators suggest that growth will slow at the end of the year, domestic demand will continue on an upward trend. The German GDP should increase by 1.9% in 2016. For 2017 we expect a lower growth rate of 1.2%“Weaker export volumes and higher growth of imports are the relevant factors for the slowdown”, says Prof Oliver Holtemöller, IWH Vice president. Unemployment will rise a bit as more refugees enter the labor market. Consumer price inflation remains moderate. The general government balance (cyclically ad¬justed as well as unadjusted) will be in surplus in both 2016 and 2017.
Oliver Holtemöller
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The Impact of Venture Capital Monitoring
Shai B. Bernstein, Xavier Giroud, Richard R. Townsend
Journal of Finance,
No. 4,
2016
Abstract
We show that venture capitalists' (VCs) on-site involvement with their portfolio companies leads to an increase in both innovation and the likelihood of a successful exit. We rule out selection effects by exploiting an exogenous source of variation in VC involvement: the introduction of new airline routes that reduce VCs' travel times to their existing portfolio companies. We confirm the importance of this channel by conducting a large-scale survey of VCs, of whom almost 90% indicate that direct flights increase their interaction with their portfolio companies and management, and help them better understand companies' activities.
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09.06.2016 • 22/2016
The German Economy Benefits from Strong Domestic Demand
In 2016, the moderate upswing of the German economy continues. Incomes grow due to the steady expansion in employment, and the fall in energy prices has propped up the purchasing power of private households. As a consequence, private consumption expands healthily; investment in housing is additionally stimulated by very low interest rates. Exports, however, expand only moderately, as the world economy is rather weak. All in all, the IWH forecasts the German GDP to expand by 1.8% in this year and by 1.6% in 2017.
Oliver Holtemöller
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The Joint Dynamics of Sovereign Ratings and Government Bond Yields
Makram El-Shagi, Gregor von Schweinitz
Abstract
In the present paper, we build a bivariate semiparametric dynamic panel model to repro-duce the joint dynamics of sovereign ratings and government bond yields. While the individual equations resemble Pesaran-type cointegration models, we allow for different long-run relationships in both equations, nonlinearities in the level effect of ratings, and asymmetric effects in changes of ratings and yields. We find that the interest rate equation and the rating equation imply significantly different long-run relationships. While the high persistence in both interest rates and ratings might lead to the misconception that they follow a unit root process, the joint analysis reveals that they converge slowly to a joint equilibrium. While this indicates that there is no vicious cycle driving countries into default, the persistence of ratings is high enough that a rating shock can have substantial costs. Generally, the interest rate adjusts rather quickly to the risk premium that is in line with the rating. For most ratings, this risk premium is only marginal. However, it becomes substantial when ratings are downgraded to highly speculative (a rating of B) or lower. Rating shocks that drive the rating below this threshold can increase the interest rate sharply, and for a long time. Yet, simulation studies based on our estimations show that it is highly improbable that rating agencies can be made responsible for the most dramatic spikes in interest rates.
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Outperforming IMF Forecasts by the Use of Leading Indicators
Katja Drechsel, Sebastian Giesen, Axel Lindner
IWH Discussion Papers,
No. 4,
2014
Abstract
This study analyzes the performance of the IMF World Economic Outlook forecasts for world output and the aggregates of both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current and the next year, we examine whether IMF forecasts can be improved by using leading indicators with monthly updates. Using a real-time dataset for GDP and for the indicators we find that some simple single-indicator forecasts on the basis of data that are available at higher frequency can significantly outperform the IMF forecasts if the publication of the Outlook is only a few months old.
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