Information Feedback in Temporal Networks as a Predictor of Market Crashes
Stjepan Begušić, Zvonko Kostanjčar, Dejan Kovač, Boris Podobnik, H. Eugene Stanley
Complexity,
September
2018
Abstract
In complex systems, statistical dependencies between individual components are often considered one of the key mechanisms which drive the system dynamics observed on a macroscopic level. In this paper, we study cross-sectional time-lagged dependencies in financial markets, quantified by nonparametric measures from information theory, and estimate directed temporal dependency networks in financial markets. We examine the emergence of strongly connected feedback components in the estimated networks, and hypothesize that the existence of information feedback in financial networks induces strong spatiotemporal spillover effects and thus indicates systemic risk. We obtain empirical results by applying our methodology on stock market and real estate data, and demonstrate that the estimated networks exhibit strongly connected components around periods of high volatility in the markets. To further study this phenomenon, we construct a systemic risk indicator based on the proposed approach, and show that it can be used to predict future market distress. Results from both the stock market and real estate data suggest that our approach can be useful in obtaining early-warning signals for crashes in financial markets.
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Market Power and Risk: Evidence from the U.S. Mortgage Market
Carola Müller, Felix Noth
Economics Letters,
2018
Abstract
We use mortgage loan application data of the Home Mortgage Disclosure Act (HMDA) to shed light on the role of banks’ market power on their presumably insufficient risk screening activities in the U.S. mortgage market in the pre-crisis era. We find that banks with higher market power protect their charter value. The effect is stronger for banks that have more information about local markets.
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Can Lenders Discern Managerial Ability from Luck? Evidence from Bank Loan Contracts
Dien Giau Bui, Yan-Shing Chen, Iftekhar Hasan, Chih-Yung Lin
Journal of Banking and Finance,
2018
Abstract
We investigate the effect of managerial ability versus luck on bank loan contracting. Borrowers showing a persistently superior managerial ability over previous years (more likely due to ability) enjoy a lower loan spread, while borrowers showing a temporary superior managerial ability (more likely due to luck) do not enjoy any spread reduction. This finding suggests that banks can discern ability from luck when pricing a loan. Firms with high-ability managers are more likely to continue their prior lower loan spread. The spread-reduction effect of managerial ability is stronger for firms with weak governance structures or poor stakeholder relationships, corroborating the notion that better managerial ability alleviates borrowers’ agency and information risks. We also find that well governed banks are better able to price governance into their borrowers’ loans, which helps explain why good governance enhances bank value.
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Banks and Sovereign Risk: A Granular View
Claudia M. Buch, Michael Koetter, Jana Ohls
Journal of Financial Stability,
2016
Abstract
We investigate the determinants of sovereign bond holdings of German banks and the implications of such holdings for bank risk. We use granular information on all German banks and all sovereign debt exposures in the years 2005–2013. As regards the determinants of sovereign bond holdings of banks, we find that these are larger for weakly capitalized banks, banks that are active on capital markets, and for large banks. Yet, only around two thirds of all German banks hold sovereign bonds. Macroeconomic fundamentals were significant drivers of sovereign bond holdings only after the collapse of Lehman Brothers. With the outbreak of the sovereign debt crisis, German banks reallocated their portfolios toward sovereigns with lower debt ratios and bonds with lower yields. With regard to the implications for bank risk, we find that low-risk government bonds decreased the risk of German banks, especially for savings and cooperative banks. Holdings of high-risk government bonds, in turn, increased the risk of commercial banks during the sovereign debt crisis.
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In Search for Yield? Survey-based Evidence on Bank Risk Taking
Claudia M. Buch, S. Eickmeier, Esteban Prieto
Journal of Economic Dynamics and Control,
Nr. 43,
2014
Abstract
Monetary policy can have an impact on economic and financial stability through the risk taking of banks. Falling interest rates might induce investment into risky activities. This paper provides evidence on the link between monetary policy and bank risk taking. We use a factor-augmented vector autoregressive model (FAVAR) for the US for the period 1997–2008. Besides standard macroeconomic indicators, we include factors summarizing information provided in the Federal Reserve’s Survey of Terms of Business Lending (STBL). These data provide information on banks׳ new loans as well as interest rates for different loan risk categories and different banking groups. We identify a risk-taking channel of monetary policy by distinguishing responses to monetary policy shocks across different types of banks and different loan risk categories. Following an expansionary monetary policy shock, small domestic banks increase their exposure to risk. Large domestic banks do not change their risk exposure. Foreign banks take on more risk only in the mid-2000s, when interest rates were ‘too low for too long’.
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Liquidity in the Liquidity Crisis: Evidence from Divisia Monetary Aggregates in Germany and the European Crisis Countries
Makram El-Shagi
Economics Bulletin,
Nr. 1,
2014
Abstract
While there has been much discussion of the role of liquidity in the recent financial crises, there has been little discussion of the use of macroeconomic aggregation techniques to measure total liquidity available to the market. In this paper, we provide an approximation of the liquidity development in six Euro area countries from 2003 to 2013. We show that properly measured monetary aggregates contain significant information about liquidity risk.
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Financial Constraints of Private Firms and Bank Lending Behavior
Patrick Behr, L. Norden, Felix Noth
Journal of Banking and Finance,
Nr. 9,
2013
Abstract
We investigate whether and how financial constraints of private firms depend on bank lending behavior. Bank lending behavior, especially its scale, scope and timing, is largely driven by bank business models which differ between privately owned and state-owned banks. Using a unique dataset on private small and medium-sized enterprises (SMEs) we find that an increase in relative borrowings from local state-owned banks significantly reduces firms’ financial constraints, while there is no such effect for privately owned banks. Improved credit availability and private information production are the main channels that explain our result. We also show that the lending behavior of local state-owned banks can be sustainable because it is less cyclical and neither leads to more risk taking nor underperformance.
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Corporate Boards and Bank Loan Contracting
Bill Francis, Iftekhar Hasan, Michael Koetter, Qiang Wu
Journal of Financial Research,
Nr. 4,
2012
Abstract
We investigate the role of corporate boards in bank loan contracting. We find that when corporate boards are more independent, both price and nonprice loan terms (e.g., interest rates, collateral, covenants, and performance-pricing provisions) are more favorable, and syndicated loans comprise more lenders. In addition, board size, audit committee structure, and other board characteristics influence bank loan prices. However, they do not consistently affect all nonprice loan terms except for audit committee independence. Our study provides strong evidence that banks recognize the benefits of board monitoring in mitigating information risk ex ante and controlling agency risk ex post, and they reward higher quality boards with more favorable loan contract terms.
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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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