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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In Search for Yield? Survey-based Evidence on Bank Risk Taking
Claudia M. Buch, S. Eickmeier, Esteban Prieto
Journal of Economic Dynamics and Control,
No. 43,
2014
Abstract
Monetary policy can have an impact on economic and financial stability through the risk taking of banks. Falling interest rates might induce investment into risky activities. This paper provides evidence on the link between monetary policy and bank risk taking. We use a factor-augmented vector autoregressive model (FAVAR) for the US for the period 1997–2008. Besides standard macroeconomic indicators, we include factors summarizing information provided in the Federal Reserve’s Survey of Terms of Business Lending (STBL). These data provide information on banks׳ new loans as well as interest rates for different loan risk categories and different banking groups. We identify a risk-taking channel of monetary policy by distinguishing responses to monetary policy shocks across different types of banks and different loan risk categories. Following an expansionary monetary policy shock, small domestic banks increase their exposure to risk. Large domestic banks do not change their risk exposure. Foreign banks take on more risk only in the mid-2000s, when interest rates were ‘too low for too long’.
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Modelling Macroeconomic Risk: The Genesis of the European Debt Crisis
Gregor von Schweinitz
Hochschulschrift, Juristische und Wirtschaftswissenschaftliche Fakultät der Martin-Luther-Universität Halle-Wittenberg,
2013
Abstract
Diverging European sovereign bond yields after 2008 are the most visible sign of the European debt crisis. This dissertation examines in a first step, to which extent the development of yields is driven by credit and liquidity risk, and how it is influenced by general uncertainty on financial markets. It can be shown that yields are driven to a significant degree by a flight towards bonds of high liquidity in times of high market uncertainty. In a second step, high yields are interpreted as a sign of an existing crisis in the respective country. Using the signals approach, the early-warning capabilities of four different proposals for the design of the scoreboard as part of the “Macroeconomic Imbalances Procedure” (introduced in December 2011 by the European Commission) are tested, advocating a scoreboard including a variety of many different indicators. In a third step, the methodology of the signals approach is extended to include also results on significance.
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Heterogeneous Treatment Effects in Groups
Gerhard Riener, Simon Wiederhold
Economics Letters,
No. 3,
2013
Abstract
We show in a laboratory experiment that the same method of group induction carries different behavioral consequences. These heterogeneous treatment effects can be directly related to the quality of the relationship established between the subjects. Our results indicate the importance of manipulation checks in group-formation tasks in economic experiments.
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The Term Structure of Sovereign Default Risk in EMU Member Countries and Its Determinants
Stefan Eichler, Dominik Maltritz
Journal of Banking and Finance,
No. 6,
2013
Abstract
We analyze the determinants of sovereign default risk of EMU member states using government bond yield spreads as risk indicators. We focus on default risk for different time spans indicated by spreads for different maturities. Using a panel framework we analyze whether there are different drivers of default risk for different maturities. We find that lower economic growth and larger openness increase default risk for all maturities. Higher indebtedness only increases short-term risk, whereas net lending, trade balance and interest rate costs only drive long-term default risk.
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Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment
Katja Drechsel, Rolf Scheufele
Abstract
This paper presents a method to conduct early estimates of GDP growth in Germany. We employ MIDAS regressions to circumvent the mixed frequency problem and use pooling techniques to summarize efficiently the information content of the various indicators. More specifically, we investigate whether it is better to disaggregate GDP (either via total value added of each sector or by the expenditure side) or whether a direct approach is more appropriate when it comes to forecasting GDP growth. Our approach combines a large set of monthly and quarterly coincident and leading indicators and takes into account the respective publication delay. In a simulated out-of-sample experiment we evaluate the different modelling strategies conditional on the given state of information and depending on the model averaging technique. The proposed approach is computationally simple and can be easily implemented as a nowcasting tool. Finally, this method also allows retracing the driving forces of the forecast and hence enables the interpretability of the forecast outcome.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Journal of International Money and Finance,
No. 35,
2013
Abstract
The signals approach as an early-warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it cannot distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful results; (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach; and (3) that indicators which are found to be significant in-sample usually perform similarly well out-of-sample.
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How does Institutional Setting Affect the Impact of EU Structural Funds on Economic Cohesion? New Evidence from Central and Eastern Europe
Marina Grusevaja, Toralf Pusch
Journal of Common Market Studies,
2012
Abstract
Structural Funds are the main instrument of the EU Cohesion Policy. Their effective use is subject to an ongoing debate in political and scientific circles. European fiscal assistance under this heading should promote economic and social cohesion in the member states of the European Union. Recently the domestic institutional capacity to absorb, to distribute and to invest Structural Funds effectively has become a crucial determinant of the cohesion process and has attracted attention of the scientific community. The aim of this study is to shed light on the effectiveness of Structural Funds in the countries of the first Central and Eastern European enlargement round in 2004. Using regional data for these countries we have a look on the impact of several institutional governance variables on the effectiveness of Structural Funds. In the interpretation of results reference is made to regional economics. Results of the empirical analysis indicate an influence of certain institutional variables on the effectiveness of Structural Funds in the new member states.
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