The Financial Crisis from a Forecaster's Perspective
Katja Drechsel, Rolf Scheufele
Kredit und Kapital,
No. 1,
2012
Abstract
This paper analyses the recession in 2008/2009 in Germany. This recession is very different from previous recessions in particular regarding their causes 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 withthe best forecasts based on leading indicators shows only minor deviations. Overall, the range for an improvement of expert forecasts in the crisis compared to indicator forecasts is small.
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Protect and Survive? Did Capital Controls Help Shield Emerging Markets from the Crisis?
Makram El-Shagi
Economics Bulletin,
No. 1,
2012
Abstract
Using a new dataset on capital market regulation, we analyze whether capital controls helped protect emerging markets from the real economic consequences of the 2009 financial and economic crisis. The impact of the crisis is measured by the 2009 forecast error of a panel state space model, which analyzes the business cycle dynamics of 63 middle-income countries. We find that neither capital controls in general nor controls that were specifically targeted to derivatives (that played a crucial role during the crisis) helped shield economies. However, banking regulation that limits the exposure of banks to global risks has been highly successful.
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Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database
John M. Abowd, Ron S. Jarmin, Satkartar K. Kinney, Javier Miranda, Jerome P. Reiter, Arnold P. Reznek
International Statistical Review,
No. 3,
2011
Abstract
In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments’ confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.
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The Role of Investment Banking for the German Economy: Final Report for Deutsche Bank AG, Frankfurt/Main
Michael Schröder, M. Borell, Reint E. Gropp, Z. Iliewa, L. Jaroszek, G. Lang, S. Schmidt, K. Trela
ZEW-Dokumentationen, Nr. 12-01,
No. 1,
2011
Abstract
The aim of this study is to assess the contributions of investment banking to the economy with a particular focus on the German economy. To this end we analyse both the economic benefits and the costs stemming from investment banking.
The study focuses on investment banks as this part of banking is particularly relevant for financing companies as well as the development and use of specific products to support the needs of private and professional clients. The assessment of benefits and costs of investment banking has been conducted from a European perspective. Nevertheless there is a focus on the German economy to allow a more detailed analysis of certain aspects as for example the use of derivatives by German companies, the success of M&As in Germany or the effect of securitization on loan supply and GDP in Germany. For comparison purposes other European countries and also the U.S. have been taken into account.
The last financial crisis has shown the negative impacts of banks on the financial system and the whole economy. In a study on the contribution of investment banks to systemic risk we quantify the negative side of the investment banking business.
In the last part of the study we assess how the effects of regulatory changes on investment banking. All important changes in banking and capital market regulation are taken into account such as Basel III, additional capital requirements for systemically important financial institutions, regulation of OTC derivatives and specific taxes.
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Modelling Country Default Risk as a Latent Variable: A Multiple Indicators Multiple Causes Approach
A. Bühn, Stefan Eichler, Dominik Maltritz
Applied Economics,
No. 36,
2012
Abstract
We study the determinants of country default risk by applying a Multiple Indicators Multiple Causes (MIMIC) model. This accounts for the fact that country default risk is an unobservable variable. Whereas existing (regression-based) approaches typically use only one of several possible country default risk indicators as the dependent variable, the MIMIC model enables us to consider several indicators at once. The simultaneous consideration of sovereign yield spreads and Standard and Poor (S&P) ratings may help to improve the identification of the latent country default risk. Our results confirm most of the literature's main findings regarding important determinants of country default risk, refute others and provide new evidence to controversial questions.
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A Model for the Valuation of Carbon Price Risk
Henry Dannenberg, Wilfried Ehrenfeld
Antes, R.; Hansjürgen, B.; Letmathe, P.; Pickl, S. (Hrsg.), Emissions Trading - Institutional Design, Decision Making and Corporate Strategies (Second Edition),
2011
Abstract
Die Modellierung des CO2-Zertifikatepreisrisikos ist ein wichtiger Teilaspekt eines ganzheitlichen Managements von mit dem Emissionshandel verbundenen Unternehmensrisiken. Das Papier diskutiert ein Preisbildungsmodell, auf dessen Grundlage das Zertifikatepreisrisiko bewertet werden kann. Es wird davon ausgegangen, dass der Zertifikatepreis durch die erwarteten Grenzvermeidungskosten der Handelsperiode determiniert wird und stochastisch um dieses Niveau schwankt. Dieses Verhalten wird mit einem Mean-Reversion-Prozess modelliert. Aufgrund von Unsicherheiten bezüglich künftiger Umweltzustände ist jedoch zu vermuten, dass innerhalb einer Handelsperiode durch das Bekanntwerden neuer Informationen sprunghafte Veränderungen der erwarteten Grenzvermeidungskosten auftreten können, womit sprunghafte Verschiebungen des erwarteten Preisniveaus einhergehen. Neben der ParameterSchätzung ist es daher auch ein Ziel der Arbeit, den Mean-Reversion-Prozess so zu modifizieren, dass solche sprunghaften Veränderungen des erwarteten Reversion-Niveaus abgebildet werden können.
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Stock Market Firm-Level Information and Real Economic Activity
Filippo di Mauro, Fabio Fornari, Dario Mannucci
ECB Working Paper,
No. 1366,
2011
Abstract
We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically, adding the return and the volatility of firm-level equity prices to aggregate financial information leads to a significant improvement in forecasting business cycle developments in four economic areas, at various horizons. Importantly, not only domestic firms but also foreign firms improve business cycle predictability for a given economic area. This is not immediately visible when one takes an unconditional standpoint (i.e. an average across the sample). However, conditioning on the business cycle position of the domestic economy, the relative importance of the two sets of firms - foreign and domestic - exhibits noticeable swings across time. Analogously, the sectoral classification of the firms that in a given month retain the highest predictive power for future IP changes also varies significantly over time as a function of the business cycle position of the domestic economy. Limited to the United States, predictive ability is found to be related to selected balance sheet items, suggesting that structural features differentiate the firms that can anticipate aggregate fluctuations from those that do not help to this aim. Beyond the purely forecasting application, this finding may enhance our understanding of the underlying origins of aggregate fluctuations. We also propose to use the cross sectional stock market information to macro-prudential aims through an economic Value at Risk.
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Macroeconomic Imbalances as Indicators for Debt Crises in Europe
Tobias Knedlik, Gregor von Schweinitz
Abstract
European authorities and scholars published proposals on which indicators of macroeconomic imbalances might be used to uncover risks for the sustainability of public debt in the European Union. We test the ability of four proposed sets of indicators to send early-warnings of debt crises using a signals approach for the study of indicators and the construction of composite indicators. We find that a broad composite indicator has the highest predictive power. This fact still holds true if equal weights are used for the construction of the composite indicator in order to reflect the uncertainty about the origin of future crises.
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Old Age Poverty and Satisfaction with Living Conditions in East and West Germany, 1995 and 2009
L. J. Zhu, Anja Weißenborn, Herbert S. Buscher
Wirtschaft im Wandel,
No. 7,
2011
Abstract
Der vorliegende Beitrag stellt, getrennt für West- und Ostdeutschland sowie für Deutschland insgesamt, Indikatoren zur Armutsmessung für die beiden Jahre 1995 und 2009 vor. Untersucht werden Rentnerhaushalte in beiden Teilen Deutschlands, wobei zwischen Frauen und Männern unterschieden wird. Neben Kennzahlen zur Einkommensarmut (Einkommensperzentile u. a.) werden die unterschiedlichen Einkommensquellen im Alter dargestellt; soziale Indikatoren geben darüber hinaus Auskunft über die aktuelle und zukünftig erwartete Lebenszufriedenheit.
Der Vergleich beider Jahre zeigt eine Zunahme der Altersarmut sowohl in West- als auch in Ostdeutschland. Betroffen hiervon sind Männer stärker als Frauen – bei den ostdeutschen Frauen hat sich die Altersarmut sogar leicht verringert. Neben der Sicht auf das Einkommen zeigen die sozialen Indikatoren, dass bei den armutsgefährdeten Personen in Ostdeutschland die Lebenszufriedenheit zwischen 1995 und 2009 abgenommen hat, bis zum Jahr 2014 jedoch auch mit einer leicht geringeren Unzufriedenheit gerechnet wird.
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The Importance of Estimation Uncertainty in a Multi-Rating Class Loan Portfolio
Henry Dannenberg
IWH Discussion Papers,
No. 11,
2011
Abstract
This article seeks to make an assessment of estimation uncertainty in a multi-rating class loan portfolio. Relationships are established between estimation uncertainty and parameters such as probability of default, intra- and inter-rating class correlation, degree of inhomogeneity, number of rating classes used, number of debtors and number of historical periods used for parameter estimations. In addition, by using an exemplary portfolio based on Moody’s ratings, it becomes clear that estimation uncertainty does indeed have an effect on interest rates.
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