Too Connected to Fail? Inferring Network Ties from Price Co-movements
Jakob Bosma, Michael Koetter, Michael Wedow
Journal of Business and Economic Statistics,
No. 1,
2019
Abstract
We use extreme value theory methods to infer conventionally unobservable connections between financial institutions from joint extreme movements in credit default swap spreads and equity returns. Estimated pairwise co-crash probabilities identify significant connections among up to 186 financial institutions prior to the crisis of 2007/2008. Financial institutions that were very central prior to the crisis were more likely to be bailed out during the crisis or receive the status of systemically important institutions. This result remains intact also after controlling for indicators of too-big-to-fail concerns, systemic, systematic, and idiosyncratic risks. Both credit default swap (CDS)-based and equity-based connections are significant predictors of bailouts. Supplementary materials for this article are available online.
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The Efficiency of Local Public-service Production: The Effect of Political Institutions
Peter Bönisch, Peter Haug
FinanzArchiv,
No. 2,
2018
Abstract
Reforms replacing municipal cooperations by centralized municipalities often aim at increasing municipal efficiency. Empirical evidence supporting this aim, however, is ambiguous. Our paper analyzes the effect of institutions on municipal efficiency. In particular, we distinguish two archetypal institutional settings, a centralized and a confederal one, and argue that bureaucrats in a centralized setting are able to increase the fiscal residual. Our empirical test case is the German federal state of Saxony-Anhalt. We test the effect of the institutional setup using the bootstrap approach suggested by Simar and Wilson (2007), concluding that a decentralized institutional setting improves the efficiency of municipal production.
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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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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
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 does not 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 and statistically significant results and (2) that composite
indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.
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Municipality Size and Efficiency of Local Public Services: Does Size Matter?
Peter Bönisch, Peter Haug, Annette Illy, L. Schreier
IWH Discussion Papers,
No. 18,
2011
published in: FinanzArchiv
Abstract
Similarly to western Germany in the 1960s and 1970s, the eastern part of Germany has experienced a still ongoing process of numerous amalgamations among counties, towns and municipalities since the mid-1990s. The evidence in the economic literature is mixed with regard to the claimed expenditure reductions and efficiency gains from municipal mergers. We therefore analyze the global efficiency of the municipalities in Saxony-Anhalt, for the first time in this context, using a double-bootstrap procedure combining DEA and truncated regression. This allows including environmental variables to control for exogenous determinants of municipal efficiency. Our focus thereby is on institutional and fiscal variables. Moreover, the scale efficiency is estimated to find out whether large units are necessary to benefit from scale economies. In contrast to previous studies, we chose the aggregate budget of municipal associations (“Verwaltungsgemeinschaften”) as the object of our analysis since important competences of the member municipalities are settled on a joint administrative level. Furthermore, we use a data set that has been carefully adjusted for bookkeeping items and transfers within the communal level. On the “eve” of a mayor municipal reform the majority of the municipalities were found to have an approximately scale-efficient size and centralized organizational forms (“Einheitsgemeinden”) showed no efficiency advantage over municipal associations.
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Size is not everything – The efficiency of municipal service provision in Saxony-Anhalt
Peter Haug, Annette Illy
Wirtschaft im Wandel,
No. 10,
2011
Abstract
The proponents of municipal area reforms – e.g. the recently completed reform in Saxony-Anhalt – expect that municipal amalgamations or centralized organizational forms save costs or increase the efficiency of local public service provision. This article examines the potential efficiency deficits of Saxony-Anhalt´s fragmented municipal structures on the eve of the crucial phase of the municipal reform. The results of a two-step DEA bootstrap procedure show that decentralized municipalities (“Verwaltungsgemeinschaften”) do not have to be significantly less efficient than centralized municipalities (“Einheitsgemeinden”). Furthermore, the results of the scale efficiency analysis suggest that the majority of Saxony-Anhalt´s communities already had an approximately efficient “firm size” – if the aggregated level of the municipal associations is examined. The relationship between scale efficiency and population is U-shaped. On the one hand, the results do not support the preservation of micro-municipalities or the formation of municipal associations with more than ten members. On the other hand, the results provide also no evidence for the necessity to reduce the number of towns and municipalities in Saxony-Anhalt from 1118 in 2004 to currently 219 – even if the looming population decline is taken into account.
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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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Estimation Uncertainty in Credit Risk Assessment: Comparison of Credit Risk Using Bootstrapping and an Asymptotic Approach
Henry Dannenberg
IWH Discussion Papers,
No. 3,
2009
Abstract
For credit risk assessment, probability of default and correlation have to be estimated simultaneously. However, these estimates are uncertain. To assess this uncertainty the literature has discussed the use of asymptotic confidence regions. This kind of region though needs a long credit history for exact assessment. An alternative method to generate a confidence region for a short credit history is bootstrapping. Hence, it could be more appropriate to assess estimation uncertainty with bootstrapping than with asymptotic methods if only a short credit history is available. Based on a simulation study, it is analyzed how many periods should be available for assessing credit risk – taking account of estimation uncertainty – if bootstrapping and a Wald confidence region shall achieve similar results. This article shows that more than 100 cycles have to be available for similar results.
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