Elevated Uncertainty during the Financial Crisis: Do Effects on Subjective Well-being Differ across European Countries?
Lena Tonzer
B.E. Journal of Economic Analysis and Policy,
No. 2,
2019
Abstract
This paper focuses on the effect of uncertainty as reflected by financial market variables on subjective well-being. The analysis is based on Eurobarometer surveys, covering 18 countries over the period 2000–2013. Individuals report lower levels of life satisfaction in times of higher uncertainty approximated by stock market volatility. This effect is heterogeneous across respondents: the probability of being unsatisfied is higher for respondents who are older, unemployed, less educated, and live in one of the GIIPS countries of the Euro area. Furthermore, higher uncertainty in combination with a financial crisis increases the probability of reporting low values of life satisfaction.
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How Do Banks React to Catastrophic Events? Evidence from Hurricane Katrina
Claudia Lambert, Felix Noth, Ulrich Schüwer
Review of Finance,
No. 1,
2019
Abstract
This paper explores how banks react to an exogenous shock caused by Hurricane Katrina in 2005, and how the structure of the banking system affects economic development following the shock. Independent banks based in the disaster areas increase their risk-based capital ratios after the hurricane, while those that are part of a bank holding company on average do not. The effect on independent banks mainly comes from the subgroup of highly capitalized banks. These independent and highly capitalized banks increase their holdings in government securities and reduce their total loan exposures to non-financial firms, while also increasing new lending to these firms. With regard to local economic development, affected counties with a relatively large share of independent banks and relatively high average bank capital ratios show higher economic growth than other affected counties following the catastrophic event.
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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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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Trust in Banks
Zuzana Fungáčová, Iftekhar Hasan, Laurent Weill
Journal of Economic Behavior and Organization,
2019
Abstract
Trust in banks is considered essential for an effective financial system, yet little is known about what determines trust in banks. Only a handful of single-country studies discuss the topic, so this paper aims to fill the gap by providing a cross-country analysis on the level and determinants of trust in banks. Using World Values Survey data covering 52 countries during the period 2010–2014, we observe large cross-country differences in trust in banks and confirm the influence of several sociodemographic indicators. Our main findings include: women tend to trust banks more than men; trust in banks tends to increase with income, but decrease with age and education; and access to television enhances trust, while internet access erodes trust. Additionally, religious, political, and economic values affect trust in banks. Notably, religious individuals tend to put greater trust in banks, but differences are observed across denominations. The holding of pro-market economic views is also associated with greater trust in banks.
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China’s Monetary Policy Communication: Frameworks, Impact, and Recommendations
Michael McMahon, Alfred Schipke, Xiang Li
IMF Working Paper No. 18/244,
2018
Abstract
Financial markets are eager for any signal of monetary policy from the People’s Bank of China (PBC). The importance of effective monetary policy communication will only increase as China continues to liberalize its financial system and open its economy. This paper discusses the country’s unique institutional setup and empirically analyzes the impact on financial markets of the PBC’s main communication channels, including a novel communication channel. The results suggest that there has been significant progress but that PBC communication is still evolving toward the level of other major economies. The paper recommends medium-term policy reforms and reforms that can be adopted quickly.
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Avoiding the Fall into the Loop: Isolating the Transmission of Bank-to-Sovereign Distress in the Euro Area and its Drivers
Hannes Böhm, Stefan Eichler
Abstract
We isolate the direct bank-to-sovereign distress channel within the eurozone’s sovereign-bank-loop by exploiting the global, non-eurozone related variation in stock prices. We instrument banking sector stock returns in the eurozone with exposure-weighted stock market returns from non-eurozone countries and take further precautions to remove any eurozone crisis-related variation. We find that the transmission of instrumented bank distress, while economically relevant, is significantly smaller than the corresponding coefficient in the unadjusted OLS framework, confirming concerns on reverse causality and omitted variables in previous studies. Furthermore, we show that the spillover of bank distress is significantly stronger for countries with poorer macroeconomic performances, weaker financial sectors and financial regulation and during times of elevated political uncertainty.
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SMEs and Access to Bank Credit: Evidence on the Regional Propagation of the Financial Crisis in the UK
Hans Degryse, Kent Matthews, Tianshu Zhao
Journal of Financial Stability,
2018
Abstract
We study the sensitivity of banks’ credit supply to small and medium size enterprises (SMEs) in the UK with respect to the banks’ financial condition before and during the financial crisis. Employing unique data on the geographical location of all bank branches in the UK, we connect firms’ access to bank credit to the financial condition (i.e., bank health and the use of core deposits) of all bank branches in the vicinity of the firm for the period 2004–2011. Before the crisis, banks’ local financial conditions did not influence credit availability irrespective of the functional distance (i.e., the distance between bank branch and bank headquarters). However, during the crisis, we find that SMEs with banks within their vicinity that have stronger financial conditions faced greater credit availability when the functional distance is close. Our results point to a “flight to headquarters” effect during the financial crisis.
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Kommentar: Mit bester Absicht in die Krise
Reint E. Gropp
Wirtschaft im Wandel,
No. 4,
2018
Abstract
Zehn Jahre nach der Lehman-Pleite werden die Finanzmärkte besser kontrolliert denn je. Das kann böse Folgen haben.
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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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