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Corporate Culture and Firm Value: Evidence from Crisis
Yiwei Fang, Franco Fiordelisi, Iftekhar Hasan, Woon Sau Leung, Gabriel Wong
Journal of Banking and Finance,
January
2023
Abstract
Based on the Competing Values Framework (CVF), we score 10-K text to measure company culture in four types (collaborative, controlling, competitive, and creative) and examine its role in firm stability. We find that firms with higher controlling culture fared significantly better during the 2008–09 crisis. Firms with stronger controlling culture experienced fewer layoffs, less negative asset growth, greater debt issuance, and increased access to credit-line facilities during the crisis. The positive effect of the controlling culture is stronger among the financially-constrained firms. Overall, the controlling culture improves firm stability through greater support from capital providers.
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Firm-level Employment, Labour Market Reforms, and Bank Distress
Ralph Setzer, Moritz Stieglitz
Journal of International Money and Finance,
February
2022
Abstract
We explore the impact of financial frictions on the employment effect of labour market reforms. Our study combines a new cross-country reform database on labour market reforms with matched firm-bank data for nine euro area countries over the period 1999 to 2013. While we find that labour market reforms are overall effective in increasing employment, restricted access to bank credit can undo up to half of medium to long-term employment gains at the firm-level. Entrepreneurs without sufficient access to credit cannot reap the full benefits of more flexible employment regulation.
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Does Machine Learning Help us Predict Banking Crises?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Journal of Financial Stability,
December
2019
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 metric, 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 efficiently, 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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Firm-level Employment, Labour Market Reforms, and Bank Distress
Moritz Stieglitz, Ralph Setzer
Abstract
We explore the interaction between labour market reforms and financial frictions. Our study combines a new cross-country reform database on labour market reforms with matched firm-bank data for nine euro area countries over the period 1999 to 2013. While we find that labour market reforms are overall effective in increasing employment, restricted access to bank credit can undo up to half of long-term employment gains at the firm-level. Entrepreneurs without sufficient access to credit cannot reap the full benefits of more flexible employment regulation.
Artikel Lesen
Firm-level Employment, Labour Market Reforms, and Bank Distress
Ralph Setzer, Moritz Stieglitz
Abstract
We explore the interaction between labour market reforms and financial frictions. Our study combines a new cross-country reform database on labour market reforms with matched firm-bank data for nine euro area countries over the period 1999 to 2013. While we find that labour market reforms are overall effective in increasing employment, restricted access to bank credit can undo up to half of long-term employment gains at the firm-level. Entrepreneurs without sufficient access to credit cannot reap the full benefits of more flexible employment regulation.
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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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Mind the Gap: The Difference Between U.S. and European Loan Rates
Tobias Berg, Anthony Saunders, Sascha Steffen, Daniel Streitz
Review of Financial Studies,
Nr. 3,
2017
Abstract
We analyze pricing differences between U.S. and European syndicated loans over the 1992–2014 period. We explicitly distinguish credit lines from term loans. For credit lines, U.S. borrowers pay significantly higher spreads, but lower fees, resulting in similar total costs of borrowing in both markets. Credit line usage is more cyclical in the United States, which provides a rationale for the pricing structure difference. For term loans, we analyze the channels of the cross-country loan price differential and document the importance of: the composition of term loan borrowers and the loan supply by institutional investors and foreign banks.
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The Impact of Credit Default Swap Trading on Loan Syndication
Daniel Streitz
Review of Finance,
Nr. 1,
2016
Abstract
We analyze the impact of credit default swap (CDS) trading on bank syndication activity. Theoretically, the effect of CDS trading is ambiguous: on the one hand, CDS can improve risk-sharing and hence be a more flexible risk management tool than loan syndication; on the other hand, CDS trading can reduce bank monitoring incentives. We document that banks are less likely to syndicate loans and retain a larger loan fraction once CDS are actively traded on the borrower’s debt. We then discern the risk management and the moral hazard channel. We find no evidence that the reduced likelihood to syndicate loans is a result of increased moral hazard problems.
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The Impact of Securitization on Credit Rationing: Empirical Evidence
Santiago Carbo-Valverde, Hans Degryse, Francisco Rodríguez-Fernández
Journal of Financial Stability,
2015
Abstract
We study whether banks’ involvement into different types of securitization activity – asset backed securities (ABS) and covered bonds – in Spain influences credit supply before and during the financial crisis. While both ABS and covered bonds were hit by the crisis, the former were hit more severely. Employing a disequilibrium model to identify credit rationing, we find that firms with banks that were more involved in securitization see their credit constraints more relaxed in normal periods. In contrast, only greater covered bonds issuance reduces credit rationing during crisis periods whereas ABS aggravates these firms’ credit rationing in crisis periods. Our results are in line with the theoretical predictions that a securitization instrument that retains risk (covered bond) may induce a more prudent risk behavior of banks than an instrument that provides risk transferring (ABS).
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