Financial Stability
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Consumer Defaults and Social Capital
Brian Clark, Iftekhar Hasan, Helen Lai, Feng Li, Akhtar Siddique
Journal of Financial Stability,
April
2021
Abstract
Using account level data from a credit bureau, we study the role that social capital plays in consumer default decisions. We find that borrowers in communities with greater social capital are significantly less likely to default on loans, even after adjusting for different levels of income and other characteristics such as credit scores. The results are strongest for potentially strategic defaults on mortgages; a one standard deviation increase in social capital reduces such defaults by 12.4 %. These results can be generalized to any mortgage default. Our results also indicate that the effect of social capital is most prominent among more creditworthy borrowers, suggesting that when given a choice, the social cost of defaulting is an important factor affecting default decisions. We find a similar impact of social capital on consumer defaults in other datasets with more detailed information on borrowers as well. Our results are robust to modeling and methodology choices, as well as controlling for other drivers of default such as wealth, income and amenities from homeownership. Our results suggest that increasing social capital via measures to build community cohesion such as promotion of owner-occupied home ownership may be one avenue to deter consumer default.
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Real Estate Transaction Taxes and Credit Supply
Michael Koetter, Philipp Marek, Antonios Mavropoulos
Deutsche Bundesbank Discussion Paper,
No. 4,
2021
Abstract
We exploit staggered real estate transaction tax (RETT) hikes across German states to identify the eff ect of house price changes on mortgage credit supply. Based on approximately 33 million real estate online listings, we construct a quarterly hedonic house price index (HPI) between 2008:q1 and 2017:q4, which we instrument with state-speci c RETT changes to isolate the e ffect on mortgage credit supply by all local German banks. First, a RETT hike by one percentage point reduces HPI by 1.2%. This e ffect is driven by listings in rural regions. Second, a 1% contraction of HPI induced by an increase in the RETT leads to a 1.4% decline in mortgage lending. This transmission of fiscal policy to mortgage credit supply is eff ective across almost the entire bank capitalization distribution.
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Financial Linkages and Sectoral Business Cycle Synchronisation: Evidence from Europe
Hannes Böhm, Julia Schaumburg, Lena Tonzer
Abstract
We analyse whether financial integration between countries leads to converging or diverging business cycles using a dynamic spatial model. Our model allows for contemporaneous spillovers of shocks to GDP growth between countries that are financially integrated and delivers a scalar measure of the spillover intensity at each point in time. For a financial network of ten European countries from 1996-2017, we find that the spillover effects are positive on average but much larger during periods of financial stress, pointing towards stronger business cycle synchronisation. Dismantling GDP growth into value added growth of ten major industries, we observe that some sectors are strongly affected by positive spillovers (wholesale & retail trade, industrial production), others only to a weaker degree (agriculture, construction, finance), while more nationally influenced industries show no evidence for significant spillover effects (public administration, arts & entertainment, real estate).
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Gute Absicht – böses Ende: Die US-Wohnungspolitik als Brandbeschleuniger der Weltfinanzkrise
Reint E. Gropp, Vahid Saadi
Wirtschaft im Wandel,
No. 1,
2019
Abstract
Der Boom auf dem US-amerikanischen Eigenheimmarkt in den frühen 2000er Jahren führte zur schwersten Finanzkrise der vergangenen Jahrzehnte. Wissenschaftler haben unterschiedliche Faktoren dokumentiert, die zum rasanten Anstieg der Immobilienpreise beigetragen haben. Kaum beleuchtet wurde bisher die Rolle der US-Wohnungspolitik, insbesondere die Förderung des privaten Wohneigentums durch den Community Reinvestment Act (CRA). Der vorliegende Beitrag untersucht die Geschichte dieses Bundesgesetzes und seine Auswirkungen auf den Markt für Hypotheken und Wohneigentum seit den späten 1990er Jahren. Infolge des CRA wurden seit 1998 deutlich mehr Hypotheken aufgenommen. Der Anstieg der Immobilienpreise in der Boomphase beruhte zum Teil auf diesem politisch induzierten Anstieg der Hypothekenvergabe. Der CRA ermöglichte es auch Kreditnehmern mit geringerer Kreditwürdigkeit, eine Hypothek aufzunehmen – in der Folge kam es zu vermehrten Zahlungsausfällen. Der CRA hat also zum Boom-Bust-Zyklus auf dem amerikanischen Immobilienmarkt beigetragen. Er kann als Beispiel einer wohlmeinenden Politik gelten, die unbeabsichtigt wohlfahrtsmindernde Wirkungen zeitigt.
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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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