Should We Trust in Leading Indicators? Evidence from the Recent Recession
Katja Drechsel, Rolf Scheufele
Abstract
The paper analyzes leading indicators for GDP and industrial production in Germany. We focus on the performance of single and pooled leading indicators during the pre-crisis and crisis period using various weighting schemes. Pairwise and joint significant tests are used to evaluate single indicator as well as forecast combination methods. In addition, we use an end-of-sample instability test to investigate the stability of forecasting models during the recent financial crisis. We find in general that only a small number of single indicator models were performing well before the crisis. Pooling can substantially increase the reliability of leading indicator forecasts. During the crisis the relative performance of many leading indicator models increased. At short horizons, survey indicators perform best, while at longer horizons financial indicators, such as term spreads and risk spreads, improve relative to the benchmark.
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Deriving the Term Structure of Banking Crisis Risk with a Compound Option Approach: The Case of Kazakhstan
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Discussion paper, Series 2: Banking and financial studies, No. 01/2010,
Nr. 1,
2010
Abstract
We use a compound option-based structural credit risk model to infer a term structure of banking crisis risk from market data on bank stocks in daily frequency. Considering debt service payments with different maturities this term structure assigns a separate estimator for short- and long-term default risk to each maturity. Applying the Duan (1994) maximum likelihood approach, we find for Kazakhstan that the overall crisis probability was mainly driven by short-term risk, which increased from 25% in March 2007 to 80% in December 2008. Concurrently, the long-term default risk increased from 20% to only 25% during the same period.
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Smuggling Illegal versus Legal Goods across the U.S.-Mexico Border: A Structural Equations Model Approach
A. Buehn, Stefan Eichler
Southern Economic Journal,
Nr. 2,
2009
Abstract
We study the smuggling of illegal and legal goods across the U.S.-Mexico border from 1975 to 2004. Using a Multiple Indicators Multiple Causes (MIMIC) model we test the microeconomic determinants of both smuggling types and reveal their trends. We find that illegal goods smuggling decreased from $116 billion in 1984 to $27 billion in 2004 as a result of improved labor market conditions in Mexico and intensified U.S. border enforcement. Smuggling legal goods is motivated by tax and tariff evasion. While export misinvoicing fluctuated at low levels, import misinvoicing switched from underinvoicing to overinvoicing after Mexico's accession to the GATT and the North American Free Trade Agreement (NAFTA) induced lower tariffs.
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The Stability of Bank Efficiency Rankings when Risk Preferences and Objectives are Different
Michael Koetter
European Journal of Finance,
Nr. 2,
2008
Abstract
We analyze the stability of efficiency rankings of German universal banks between 1993 and 2004. First, we estimate traditional efficiency scores with stochastic cost and alternative profit frontier analysis. Then, we explicitly allow for different risk preferences and measure efficiency with a structural model based on utility maximization. Using the almost ideal demand system, we estimate input- and profit-demand functions to obtain proxies for expected return and risk. Efficiency is then measured in this risk-return space. Mean risk-return efficiency is somewhat higher than cost and considerably higher than profit efficiency (PE). More importantly, rank–order correlation between these measures are low or even negative. This suggests that best-practice institutes should not be identified on the basis of traditional efficiency measures alone. Apparently, low cost and/or PE may merely result from alternative yet efficiently chosen risk-return trade-offs.
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Evolving Structural Patterns in the Enlarging European Division of Labour: Sectoral and Branch Specialisation and the Potentials for Closing the Productivity Gap
Johannes Stephan
IWH-Sonderhefte,
Nr. 5,
2003
Abstract
This report summarises the results generated in empirical analysis within a larger EU 5th FP RTD-project on the determinants of productivity gaps between the current EU-15 and accession states in Central East Europe. The focus of research in this part of the project is on sectoral specialisation patterns emerging as a result of intensifying integration between the current EU and a selection of six newly acceding economies, namely Estonia, Poland, the Czech and Slovak Republics, Hungary and Slovenia. The research-leading question is concerned with the role played by the respective specialisation patterns for (i) the explanation of observed productivity gaps and for (ii) the projection of future potentials of productivity growth in Central East Europe.
For the aggregated level, analysis determines the share of national productivity gaps accountable to acceding countries’ particular sectoral patterns, and their role for aggregate productivity growth: in Poland, the Slovak Republic and Hungary, sectoral shares of national productivity gaps are considerable and might evolve into a ‘barrier’ to productivity catch-up.Moreover, past productivity growth was dominated by a downward adjustment in employment rather than structural change. With the industrial sector of manufacturing having been identified as the main source of national productivity gaps and growth, the subsequent analysis focuses on the role of industrial specialisation patterns and develops an empirical model to project future productivity growth potentials. Each chapter closes with some policy conclusions.
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A macroeconometric model for the Euro economy
Christian Dreger
IWH Discussion Papers,
Nr. 181,
2003
Abstract
In this paper a structural macroeconometric model for the Eurozone is presented. In opposite to the multi country modelling approach, the model relies on aggregate data on the supra-national level. Due to nonstationarity, all equations are estimated in an error correction form. The cointegrating relations are derived jointly with the short-run dynamics, avoiding the finite sample bias of the two step Engle Granger procedure. The validity of the aggregated approach is confirmed by out-of-sample forecasts and two simulation exercises. In particular the implications of a lower economic recovery in the US and a shock in the nominal Euro area interest rate are discussed.
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Structural Vector Autoregressive Models and Monetary Policy Analysis
Oliver Holtemöller
SFB 373 Discussion Paper 7/2002,
2002
Abstract
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Macroeconomic Modelling of the German Economy in the Framework of Euroland
Rüdiger Pohl, Heinz P. Galler
Schriften des IWH,
Nr. 11,
2002
Abstract
An attempt to develop a new macroeconometric model for Germany is confronted with several questions that range from the general rationality of such an approach to specific problems of an appropriate model structure. One important aspect of this discussion is the introduction of the Euro as a common currency of the European monetary union. This institutional change may result in structural breaks due to changing behavior of economic agents. In addition, the definition of the spatial unit that is appropriate for modelling becomes a problem. Additional problems come from the introduction of the European Single Market and the increasing international economic integration not only within the European union but also beyond its borders. And in the case of Germany, the unification of the West and the East demand special attention. Last but not least, the harmonization of national accounting for the member states of the European Union has to be dealt with. Thus, the introduction of the Euro as a common currency is just one problem besides others that must be addressed.
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