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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What Might Central Banks Lose or Gain in Case of Euro Adoption – A GARCH-Analysis of Money Market Rates for Sweden, Denmark and the UK
Herbert S. Buscher, Hubert Gabrisch
IWH Discussion Papers,
No. 9,
2011
Abstract
This study deals with the question whether the central banks of Sweden, Denmark and the UK can really influence short-term money markets and thus, would lose this influence in case of Euro adoption. We use a GARCH-M-GED model with daily money market rates. The model reveals the co-movement between the Euribor and the shortterm interest rates in these three countries. A high degree of co-movement might be seen as an argument for a weak impact of the central bank on its money markets. But this argument might only hold for tranquil times. Our approach reveals, in addition, whether there is a specific reaction of the money markets in turbulent times. Our finding is that the policy of the European Central Bank (ECB) has indeed a significant impact on the three money market rates, and there is no specific benefit for these countries to stay outside the Euro area. However, the GARCH-M-GED model further reveals risk divergence and unstable volatilities of risk in the case of adverse monetary shocks to the economy for Sweden and Denmark, compared to the Euro area. We conclude that the danger of adverse monetary developments cannot be addressed by a common monetary
policy for these both countries, and this can be seen as an argument to stay outside the Euro area.
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What Can Currency Crisis Models Tell Us about the Risk of Withdrawal from the EMU? Evidence from ADR Data
Stefan Eichler
Journal of Common Market Studies,
No. 4,
2011
Abstract
We study whether ADR (American depositary receipt) investors perceive the risk that countries such as Greece, Ireland, Italy, Portugal or Spain could leave the eurozone to address financial problems produced by the sub-prime crisis. Using daily data, we analyse the impact of vulnerability measures related to currency crisis theories on ADR returns. We find that ADR returns fall when yield spreads of sovereign bonds or CDSs (credit default swaps) rise (i.e. when debt crisis risk increases); when banks' CDS premiums rise or stock returns fall (i.e. when banking crisis risk increases); or when the euro's overvaluation increases (i.e. when the risk of competitive devaluation increases).
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Competition, Risk-shifting, and Public Bail-out Policies
Reint E. Gropp, H. Hakenes, Isabel Schnabel
Review of Financial Studies,
No. 6,
2011
Abstract
This article empirically investigates the competitive effects of government bail-out policies. We construct a measure of bail-out perceptions by using rating information. From there, we construct the market shares of insured competitor banks for any given bank, and analyze the impact of this variable on banks' risk-taking behavior, using a large sample of banks from OECD countries. Our results suggest that government guarantees strongly increase the risk-taking of competitor banks. In contrast, there is no evidence that public guarantees increase the protected banks' risk-taking, except for banks that have outright public ownership. These results have important implications for the effects of the recent wave of bank bail-outs on banks' risk-taking behavior.
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Government Interventions in Banking Crises: Effects of Alternative Schemes on Bank Lending and Risk-taking
Diemo Dietrich, Achim Hauck
Scottish Journal of Political Economy,
No. 2,
2012
Abstract
We analyse the effects of policy measures to stop the fall in loan supply following a banking crisis. We apply a dynamic framework in which a debt overhang induces banks to curtail lending or to choose a fragile capital structure. Government assistance conditional on new banking activities, like on new lending or on debt and equity issues, allows banks to influence the scale of the assistance and to externalise risks, implying overinvestment or excessive risk taking or both. Assistance without reference to new activities, like granting lump sum transfers or establishing bad banks, does not generate adverse incentives but may have higher fiscal costs.
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Informed and Uninformed Investment in Housing: The Downside of Diversification
Elena Loutskina, Philip E. Strahan
Review of Financial Studies,
No. 5,
2011
Abstract
Mortgage lenders that concentrate in a few markets invest more in information collection than diversified lenders. Concentrated lenders focus on the information-intensive jumbo market and on high-risk borrowers. They are better positioned to price risks and, thus, ration credit less. Adverse selection, however, leads to higher retention of mortgages relative to diversified lenders. Finally, concentrated lenders have higher profits than diversified lenders, their profits vary less systematically, and their stock prices fell less during the 2007—2008 credit crisis. The results imply that geographic diversification led to a decline in screening by lenders, which likely played a role in the 2007–2008 crisis.
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Inflation Expectations: Does the Market Beat Professional Forecasts?
Makram El-Shagi
North American Journal of Economics and Finance,
No. 3,
2011
Abstract
The present paper compares expected inflation to (econometric) inflation forecasts based on a number of forecasting techniques from the literature using a panel of ten industrialized countries during the period of 1988 to 2007. To capture expected inflation, we develop a recursive filtering algorithm which extracts unexpected inflation from real interest rate data, even in the presence of diverse risks and a potential Mundell-Tobin-effect.
The extracted unexpected inflation is compared to the forecasting errors of ten
econometric forecasts. Beside the standard AR(p) and ARMA(1,1) models, which
are known to perform best on average, we also employ several Phillips curve based approaches, VAR, dynamic factor models and two simple model avering approaches.
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