Correlation Scenarios and Correlation Stress Testing
Natalie Packham, Fabian Wöbbeking
Journal of Economic Behavior and Organization,
January
2023
Abstract
We develop a general approach for stress testing correlations of financial asset portfolios. The correlation matrix of asset returns is specified in a parametric form, where correlations are represented as a function of risk factors, such as country and industry factors. A sparse factor structure linking assets and risk factors is built using Bayesian variable selection methods. Regular calibration yields a joint distribution of economically meaningful stress scenarios of the factors. As such, the method also lends itself as a reverse stress testing framework: using the Mahalanobis distance or Highest Density Regions (HDR) on the joint risk factor distribution allows to infer worst-case correlation scenarios. We give examples of stress tests on a large portfolio of European and North American stocks.
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The Disciplining Effect of Supervisory Scrutiny in the EU-wide Stress Test
Christoffer Kok, Carola Müller, Steven Ongena, Cosimo Pancaro
Journal of Financial Intermediation,
January
2023
Abstract
Relying on confidential supervisory data related to the 2016 EU-wide stress test, this paper presents novel empirical evidence that supervisory scrutiny associated to stress testing has a disciplining effect on bank risk. We find that banks that participated in the 2016 EU-wide stress test subsequently reduced their credit risk relative to banks that were not part of this exercise. Relying on new metrics for supervisory scrutiny that measure the quantity, potential impact, and duration of interactions between banks and supervisors during the stress test, we find that the disciplining effect is stronger for banks subject to more intrusive supervisory scrutiny during the exercise. We also find that a strong risk management culture is a prerequisite for the supervisory scrutiny to be effective. Finally, we show that a similar disciplining effect is not exerted neither by higher capital charges nor by more transparency and related market discipline induced by the stress test.
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The East-West German Gap in Revenue Productivity: Just a Tale of Output Prices?
Matthias Mertens, Steffen Müller
Journal of Comparative Economics,
Nr. 3,
2022
Abstract
East German manufacturers’ revenue productivity is substantially below West German levels, even three decades after German unification. Using firm-product-level data with product quantities and prices, we analyze the role of product specialization and show that the prominent “extended work bench hypothesis” cannot explain these sustained productivity differences. Eastern firms specialize in simpler product varieties generating less consumer value and being manufactured with less or cheaper inputs. Yet, such specialization cannot explain the productivity gap because Eastern firms are physically less productive for given product prices. Hence, there is a genuine price-adjusted physical productivity disadvantage of Eastern compared to Western firms.
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Energy Markets and Global Economic Conditions
Christiane Baumeister, Dimitris Korobilis, Thomas K. Lee
Review of Economics and Statistics,
Nr. 4,
2022
Abstract
We evaluate alternative indicators of global economic activity and other market funda-mentals in terms of their usefulness for forecasting real oil prices and global petroleum consumption. World industrial production is one of the most useful indicators. However, by combining measures from several different sources we can do even better. Our analysis results in a new index of global economic conditions and measures for assessing future energy demand and oil price pressures. We illustrate their usefulness for quantifying the main factors behind the severe contraction of the global economy and the price risks faced by shale oil producers in early 2020.
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Capital Requirements, Market Structure, and Heterogeneous Banks
Carola Müller
IWH Discussion Papers,
Nr. 15,
2022
Abstract
Bank regulators interfere with the efficient allocation of resources for the sake of financial stability. Based on this trade-off, I compare how different capital requirements affect default probabilities and the allocation of market shares across heterogeneous banks. In the model, banks‘ productivity determines their optimal strategy in oligopolistic markets. Higher productivity gives banks higher profit margins that lower their default risk. Hence, capital requirements indirectly aiming at high-productivity banks are less effective. They also bear a distortionary cost: Because incumbents increase interest rates, new entrants with low productivity are attracted and thus average productivity in the banking market decreases.
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Ricardian Equivalence, Foreign Debt and Sovereign Default Risk
Stefan Eichler, Ju Hyun Pyun
Journal of Economic Behavior and Organization,
May
2022
Abstract
We study the impact of sovereign solvency on the private-public savings offset. Using data on 80 economies for 1989–2018, we find robust evidence for a U-shaped pattern in the private-public savings offset in sovereign credit ratings. While the 1:1 savings offset is observed at intermediate levels of sovereign solvency, fiscal deficits are not offset by private savings at extremely low and high levels of sovereign solvency. Particularly, the U-shaped pattern is more pronounced for countries with high levels of foreign ownership of government debt. The U-shaped pattern is an emerging market phenomenon; additionally, it is confirmed when considering foreign currency rating and external public debt, but not for domestic currency rating and domestic public debt. For considerable foreign ownership of sovereign bonds, sovereign default constitutes a net wealth gain for domestic consumers.
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Income, Trading, and Performance: Evidence from Retail Investors
Dien Giau Bui, Chih-Yung Lin, Iftekhar Hasan, Rui-Xiang Zhai
Journal of Empirical Finance,
March
2022
Abstract
We examine whether household income influences the trading styles of retail investors and their investment performance. To investigate this question, we use a unique dataset of branch-level trading that contains all retail investors and observe that those investors with high income trade more and earn significantly higher returns in the stock market. In addition, this income effect becomes stronger for highly risky stocks, such as gambling or lottery-like stocks. These findings are in line with the information model theorized by Peress (2004) in which wealthy investors take extra risks by trading more stocks.
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The Diplomacy Discount in Global Syndicated Loans
Gene Ambrocio, Xian Gu, Iftekhar Hasan, Panagiotis Politsidis
Journal of International Money and Finance,
February
2022
Abstract
This paper investigates whether state-to-state political ties with the United States affect the pricing of global syndicated loans. We find that a one-standard-deviation improvement in state political ties between the U.S. and the government of a borrower’s home country is associated with a 14.7 basis points lower loan spread, shaving off about 11.8 million USD in interest payments over the duration of the average loan for borrowers. Results also show that the effect of political ties is stronger for narrower and more concentrated loan syndicates, when lead arrangers are U.S. banks, during periods in which the U.S. is engaged in armed conflicts, when the U.S. president belongs to the Republican Party, and for borrowers with better balance sheets and prior lending relationships. Notably, not all firms benefit equally, as cross-listed firms and firms in countries with strong institutional quality and ability to attract institutional investors are much less affected by political ties.
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Spillover Effects in Empirical Corporate Finance
Tobias Berg, Markus Reisinger, Daniel Streitz
Journal of Financial Economics,
Nr. 3,
2021
Abstract
Despite their importance, the discussion of spillover effects in empirical research often misses the rigor dedicated to endogeneity concerns. We analyze a broad set of workhorse models of firm interactions and show that spillovers naturally arise in many corporate finance settings. This has important implications for the estimation of treatment effects: i) even with random treatment, spillovers lead to a complicated bias, ii) fixed effects can exacerbate the spillover-induced bias. We propose simple diagnostic tools for empirical researchers and illustrate our guidance in an application.
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Advances in Using Vector Autoregressions to Estimate Structural Magnitudes
Christiane Baumeister, James D. Hamilton
Abstract
This paper discusses drawing structural conclusions from vector autoregressions. We call attention to a common error in estimating structural elasticities and show how to correctly estimate elasticities even in the case when one knows only the effects of a single structural shock and the covariance matrix of the reduced-form residuals. We describe the traditional approach to identification as a claim to have exact prior information about the structural model and propose Bayesian inference as a way to acknowledge that prior information is imperfect or subject to error. We raise concerns about the way that results are typically reported for VARs that are set-identified using sign and other restrictions.
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