Lock‐in Effects in Relationship Lending: Evidence from DIP Loans
Iftekhar Hasan, Gabriel G. Ramírez, Gaiyan Zhang
Journal of Money, Credit and Banking,
forthcoming
Abstract
Do prior lending relationships result in pass‐through savings (lower interest rates) for borrowers, or do they lock in higher costs for borrowers? Theoretical models suggest that when borrowers experience greater information asymmetry, higher switching costs, and limited access to capital markets, they become locked into higher costs from their existing lenders. Firms in Chapter 11 seeking debtor‐in‐possession (DIP) financing often fit this profile. We investigate the presence of lock‐in effects using a sample of 348 DIP loans. We account for endogeneity using the instrument variable (IV) approach and the Heckman selection model and find consistent evidence that prior lending relationship is associated with higher interest costs and the effect is more severe for stronger existing relationships. Our study provides direct evidence that prior lending relationships do create a lock‐in effect under certain circumstances, such as DIP financing.
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CompNet Database
The CompNet Competitiveness Database The Competitiveness Research Network (CompNet)...
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Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations
Christiane Baumeister, James D. Hamilton
Journal of Monetary Economics,
2018
Abstract
Point estimates and error bands for SVARs that are set identified are only justified if the researcher is persuaded that some parameter values are a priori more plausible than others. When such prior information exists, traditional approaches can be generalized to allow for doubts about the identifying assumptions. We use information about both structural coefficients and impacts of shocks and propose a new asymmetric t-distribution for incorporating information about signs in a nondogmatic way. We apply these methods to a three-variable macroeconomic model and conclude that monetary policy shocks are not the major driver of output, inflation, or interest rates.
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Publications
Does Machine Learning Help us Predict Banking Crises? ...
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19.03.2018 • 4/2018
Economists – and the others
People with a background in economics react more strongly to financial incentives – both positively and negatively, as Dmitri Bershadskyy of the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association – found out. At the beginning of his laboratory experiment, economists were prepared to spend more money on a public good and keep to this social behaviour for a longer period than non-economists. However, towards the end of the experiment they were also the greatest free-riders.
Dmitri Bershadskyy
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Differences Make a Difference: Diversity in Social Learning and Value Creation
Yiwei Fang, Bill Francis, Iftekhar Hasan
Journal of Corporate Finance,
2018
Abstract
Prior research has demonstrated that CEOs learn privileged information from their social connections. Going beyond the importance of the number of social ties in a CEO's social network, this paper studies the value generated from a diverse social environment. We construct an index of social-network heterogeneity (SNH) that captures the extent to which CEOs are connected to people of different demographic attributes and skill sets. We find that higher CEO SNH leads to greater firm value through the channels of better corporate innovation and diversified M&As. Overall, the evidence suggests that CEOs' exposure to human diversity enhances social learning and creates greater growth opportunities for firms.
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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 & 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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Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information
Christiane Baumeister, James D. Hamilton
Econometrica,
forthcoming
Abstract
This paper makes the following original contributions to the literature. (i) We develop a simpler analytical characterization and numerical algorithm for Bayesian inference in structural vector autoregressions (VARs) that can be used for models that are overidentified, just‐identified, or underidentified. (ii) We analyze the asymptotic properties of Bayesian inference and show that in the underidentified case, the asymptotic posterior distribution of contemporaneous coefficients in an n‐variable VAR is confined to the set of values that orthogonalize the population variance–covariance matrix of ordinary least squares residuals, with the height of the posterior proportional to the height of the prior at any point within that set. For example, in a bivariate VAR for supply and demand identified solely by sign restrictions, if the population correlation between the VAR residuals is positive, then even if one has available an infinite sample of data, any inference about the demand elasticity is coming exclusively from the prior distribution. (iii) We provide analytical characterizations of the informative prior distributions for impulse‐response functions that are implicit in the traditional sign‐restriction approach to VARs, and we note, as a special case of result (ii), that the influence of these priors does not vanish asymptotically. (iv) We illustrate how Bayesian inference with informative priors can be both a strict generalization and an unambiguous improvement over frequentist inference in just‐identified models. (v) We propose that researchers need to explicitly acknowledge and defend the role of prior beliefs in influencing structural conclusions and we illustrate how this could be done using a simple model of the U.S. labor market.
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Entry and Strategic Information Display in Credit Markets
Jan Bouckaert, Hans Degryse
The Economic Journal,
No. 513,
2006
Abstract
In many countries, lenders voluntarily provide information about their borrowers to private credit registries. A recent World Bank survey reveals that the display of a lender's own borrower information is often not reciprocated. That is, access to these registries does not require the prior provision of proprietary data. We argue that incumbent lenders release information about a portion of their profitable borrowers for strategic reasons. The reasoning is that the pool of unreleased borrowers becomes characterised by a severe adverse selection problem. This prevents the entrants from bidding for all the incumbent's profitable borrowers and reduces their scale of entry.
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