The Financial Crisis from a Forecaster’s Perspective
Katja Drechsel, Rolf Scheufele
Abstract
This paper analyses the recession in 2008/2009 in Germany, which is very different from previous recessions, in particular regarding its cause and magnitude. We show to what extent forecasters and forecasts based on leading indicators fail to detect the timing and the magnitude of the recession. This study shows that large forecast errors for both expert forecasts and forecasts based on leading indicators resulted during this recession which implies that the recession was very difficult to forecast. However, some leading indicators (survey data, risk spreads, stock prices) have indicated an economic downturn and hence, beat univariate time series models. Although the combination of individual forecasts provides an improvement compared to the benchmark model, the combined forecasts are worse than several individual models. A comparison of expert forecasts with the best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts during the crisis compared to indicator forecasts is relatively small.
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Exchange Rate Expectations and the Pricing of Chinese Cross-listed Stocks
Stefan Eichler
Journal of Banking and Finance,
No. 2,
2011
Abstract
I show that the price discounts of Chinese cross-listed stocks (American Depositary Receipts (ADRs) and H-shares) to their underlying A-shares indicate the expected yuan/US dollar exchange rate. The forecasting models reveal that ADR and H-share discounts predict exchange rate changes more accurately than the random walk and forward exchange rates, particularly at long forecast horizons. Using panel estimations, I find that ADR and H-share investors form their exchange rate expectations according to standard exchange rate theories such as the Harrod–Balassa–Samuelson effect, the risk of competitive devaluations, relative purchasing power parity, uncovered interest rate parity, and the risk of currency crisis.
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Macroeconomic Challenges in the Euro Area and the Acceding Countries
Katja Drechsel
Dissertation, Fachbereich Wirtschaftswissenschaften der Universität Osnabrück,
2010
Abstract
deutscher Titel: Makroökonomische Herausforderungen für die Eurozone und die Beitrittskandidaten
Abstract: The conduct of effective economic policy faces a multiplicity of macroeconomic challenges, which requires a wide scope of theoretical and empirical analyses. With a focus on the European Union, this doctoral dissertation consists of two parts which make empirical and methodological contributions to the literature on forecasting real economic activity and on the analysis of business cycles in a boom-bust framework in the light of the EMU enlargement. In the first part, we tackle the problem of publication lags and analyse the role of the information flow in computing short-term forecasts up to one quarter ahead for the euro area GDP and its main components. A huge dataset of monthly indicators is used to estimate simple bridge equations. The individual forecasts are then pooled, using different weighting schemes. To take into consideration the release calendar of each indicator, six forecasts are compiled successively during the quarter. We find that the sequencing of information determines the weight allocated to each block of indicators, especially when the first month of hard data becomes available. This conclusion extends the findings of the recent literature. Moreover, when combining forecasts, two weighting schemes are found to outperform the equal weighting scheme in almost all cases. In the second part, we focus on the potential accession of the new EU Member States in Central and Eastern Europe to the euro area. In contrast to the discussion of Optimum Currency Areas, we follow a non-standard approach for the discussion on abandonment of national currencies the boom-bust theory. We analyse whether evidence for boom-bust cycles is given and draw conclusions whether these countries should join the EMU in the near future. Using a broad range of data sets and empirical methods we document credit market imperfections, comprising asymmetric financing opportunities across sectors, excess foreign currency liabilities and contract enforceability problems both at macro and micro level. Furthermore, we depart from the standard analysis of comovements of business cycles among countries and rather consider long-run and short-run comovements across sectors. While the results differ across countries, we find evidence for credit market imperfections in Central and Eastern Europe and different sectoral reactions to shocks. This gives favour for the assessment of the potential euro accession using this supplementary, non-standard approach.
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Analyzing Innovation Drivers in the German Laser Industry: the Role of Positioning in the Social and Geographical Space
Muhamed Kudic, Peter Bönisch, Iciar Dominguez Lacasa
Abstract
Empirical and theoretical contributions provide strong evidence that firm-level performance outcomes in terms of innovativeness can either be determined by the firm’s position in the social space (network effects) or by the firm’s position in the geographical space (co-location effects). Even though we can observe quite recently first attempts in bringing together these traditionally distinct research streams (Whittington et al. 2009), research on interdependent network and geographical co-location effects is still rare. Consequently, we seek to answer the following research question: considering that the effects of social and geographic proximity on firm’s innovativeness can be interdependent, what are the distinct and combined effects of firm’s network and geographic position on firm-level innovation output? We analyze the innovative performance of German laser source manufacturers between 1995 and 2007. We use an official database on publicly funded R&D collaboration projects in order to construct yearly networks and analyze firm’s network positions. Based on information on population entries and exits we calculate various types of geographical proximity measures between private sector and public research organizations (PRO). We use patent grants as dependent variable in order to measure firm-level innovation output. Empirical results provide evidence for distinct effect of network degree centrality. Distinct effect of firm’s geographical co-location to laser-related public research organization promotes patenting activity. Results on combined network and co-location effects confirms partially the existence of in-terdependent proximity effects, even though a closer look at these effects reveals some ambiguous but quite interesting findings.
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The Dilemma of Delegating Search: Budgeting in Public Employment Services
Martin Altemeyer-Bartscher, J. T. Addison, T. Kuhn
IZA Discussion Papers, No. 5170,
No. 5170,
2010
Abstract
The poor performance often attributed to many public employment services may be explained in part by a delegation problem between the central office and local job centers. In markets characterized by frictions, job centers function as match-makers, linking job seekers with relevant vacancies. Because their search intensity in contacting employers and collecting data is not verifiable by the central authority, a typical moral hazard problem can arise. To overcome the delegation problem and provide high-powered incentives for high levels of search effort on the part of job centers, we propose output-related schemes that assign greater staff capacity to agencies achieving high strike rates.
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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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A First Look on the New Halle Economic Projection Model
Sebastian Giesen, Oliver Holtemöller, Juliane Scharff, Rolf Scheufele
Abstract
In this paper we develop a small open economy model explaining the joint determination of output, inflation, interest rates, unemployment and the exchange rate in a multi-country framework. Our model – the Halle Economic Projection Model (HEPM) – is closely related to studies recently published by the International
Monetary Fund (global projection model). Our main contribution is that we model the Euro area countries separately. In this version we consider Germany and France, which represent together about 50 percent of Euro area GDP. The model allows for country specific heterogeneity in the sense that we capture different adjustment patterns to economic shocks. The model is estimated using Bayesian techniques. Out-of-sample and pseudo out-of-sample forecasts are presented.
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Wirtschaftsentwicklung und Staatsfinanzen: Eine Vorausschau der Jahre 2010 bis 2014
Kristina vanDeuverden, Rolf Scheufele
Wirtschaft im Wandel,
No. 1,
2010
Abstract
Im Jahr 2009 rutschten die öffentlichen Haushalte in Deutschland tief in die roten Zahlen. In Relation zum nominalen Bruttoinlandsprodukt lag das Defizit bei 3,1%. In der öffentlichen Diskussion nimmt diese Entwicklung wie auch die Notwendigkeit zur Konsolidierung breiten Raum ein. Um diese Diskussion auf eine fundierte Grundlage zu stellen, ist eine über die kurzfristige Prognose hinausgehende mittelfristige Projektion der wirtschaftlichen Entwicklung und des Staatshaushalts hilfreich und notwendig. Eine Vorhersage der Wirtschaftsentwicklung in der mittleren Frist ist dabei grundsätzlich schwierig – auch wenn die Unsicherheiten nunmehr geringer sind als noch vor Jahresfrist. Dennoch sind die Folgen der Finanzkrise – insbesondere auch im Hinblick auf die Entwicklung des Produktionspotenzials – nur schwer abzuschätzen. Die Projektion der wirtschaftlichen Entwicklung in der mittleren Frist geht davon aus, dass von der Finanzkrise keine erneuten Schockwellen auf die Weltwirtschaft ausgehen werden und dass sich die deutsche Wirtschaft nach dem starken Einbruch im Jahr 2009 erholt. Die Produktionskapazitäten sind jedoch nach wie vor unterausgelastet. Zudem wird sich die Lage auf dem Arbeitsmarkt zu Beginn des Projektionszeitraums deutlich verschlechtern – mit entsprechenden Konsequenzen für die inländische Nachfrage. Erst in den Jahren 2011 bis 2014 wird die Wirtschaft wieder stärker wachsen. Bei dieser Wirtschaftsentwicklung – aber auch aufgrund der vorerst noch recht expansiven Ausrichtung der Finanzpolitik – werden die öffentlichen Haushalte in den Jahren 2010 und 2011 weiter deutlich unter Druck geraten. In Relation zum nominalen Bruttoinlandsprodukt steigt das Defizit noch einmal kräftig an – bis auf gut 5%. Unter der Annahme, dass die Finanzpolitik keine neuen expansiven Maßnahmen ergreift, werden sich die Fehlbeträge in den Jahren 2012 bis 2014 – konjunkturbedingt – zwar wieder zurückbilden; am Ende des Projektionszeitraums liegt das Defizit nach der hier vorgelegten Schätzung aber immer noch bei 2½%. Zu diesem Zeitpunkt dürfte die Produktionslücke geschlossen sein. Das im Endjahr ausgewiesene Defizit ist somit der Natur nach strukturell; in diesem Umfang liegt eine permanente Unterdeckung der Ausgaben vor. Einer nachhaltigen Finanzpolitik entspricht dies nicht.
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The ADR Shadow Exchange Rate as an Early Warning Indicator for Currency Crises
Stefan Eichler, Alexander Karmann, Dominik Maltritz
Journal of Banking and Finance,
No. 11,
2009
Abstract
We develop an indicator for currency crisis risk using price spreads between American Depositary Receipts (ADRs) and their underlyings. This risk measure represents the mean exchange rate ADR investors expect after a potential currency crisis or realignment. It makes crisis prediction possible on a daily basis as depreciation expectations are reflected in ADR market prices. Using daily data, we analyze the impact of several risk drivers related to standard currency crisis theories and find that ADR investors perceive higher currency crisis risk when export commodity prices fall, trading partners’ currencies depreciate, sovereign yield spreads increase, or interest rate spreads widen.
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