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2021-02-08 17:34
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2021年2月8日发(作者:指日可待英文)



金融学



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担保的作用和个人


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外文文献原文



Material Source: Hitotsubashi University Author: lichiro uesugi


Role of collateral and personal guarantees in relationship lending:


evidence


from Japan's SME loan market


1 Introduction


A key issue of interest in the recent literature on financial


intermediation has been the role of relationship lending. Relationship


lending is particularly common in the case of small business lending,


because small businesses typically rely on bank loans for a substantial


part of their financing needs but also tend to be informationally opaque.


An important issue in this context is the use of collateral, which is a


common feature of loan contracts between small firms and banks around


the world, and a number of theoretical and empirical studies have


examined why it is so widespread and how it relates to the incentives


for borrowers and lenders and the borrower-lender relationship. For


instance, it has been argued that in the presence of information


asymmetries between creditors and borrowers, collateral may mitigate the


problem of adverse selection (Bester, 1985; 1987) and/or the problem of


moral hazard (Bester, 1994; Boot, Thakor, and Udell, 1991). Collateral


also affects the incentives of creditors, who will use it either as a




substitute for (Manove, Padilla, and Pagano, 2001) or complement to


(Rajan and Winton, 1995; Boot 2000; Longhofer and Santos, 2000)


screening and monitoring efforts. Another aspect of collateral that


studies have concentrated on is that its presence may depend on the


length and intimacy of the relationship between creditors and borrowers


(Boot, 2000; Boot and Thakor, 1994; Sharpe, 1990). Existing empirical


research has yet to reach decisive conclusions about the nature of these


relationships.


This paper seeks to contribute to the existing literature on


collateral using a unique firm-level data set of the small and medium


sized enterprise (SME) loan market in Japan. Explicitly differentiating


physical collateral (such as real estate) and personal guarantees by


business representatives, we investigate how the use of collateral and


personal guarantees affects the incentives of borrowers, lenders, and


the relationship between them. More specifically, we examine the


following three issues. First, we examine whether riskier borrowers are


more likely to be required to provide collateral or personal guarantees.


Second, we investigate how collateral and personal guarantees affect


banks’ monitoring of borrowers. Third, we examine the



1


correlation between the use of collateral and personal guarantees on


the one hand and the closeness of borrower-lender relationships on the


other.




The data set we employ is based mainly on the “Survey of the


Financial Environment” (SFE) conducted by the Small and Medium


Enterprise Agency of Japan in October 2002. In order to focus on firms


that mostly depend on bank loans for their financing, we limit the


sample to firms satisfying the legal definition of an SME in Japan. We


then combine the SFE data for each SME with information on their main


bank obtained from the bank’s financial



statements in order to control for lender characteristics as well.


Furthermore, to control for the effect of government credit guarantees


on collateral and personal guarantees, in the main analysis of this


paper we exclude from the sample all firms that enjoyed any form of


government credit guarantee.


As a result of this screening process, we end up with a sample of


1,702 firms. Our main findings can be summarized as follows. We find


that firms’ riskiness does


not have a significant effect on the


likelihood that collateral is used. Thus, we cannot find firm evidence


that the use of collateral mitigates moral hazard. We find, however,


that banks whose claims are collateralized monitor borrowers more


intensively, and that borrowers who have a long-term relationship with


their main bank are more likely to pledge collateral. These findings


suggest that collateral is complementary to relationship lending. In


contrast, the complementarity between relationship lending and personal


guarantees is weaker.




As far as we know, this is the first empirical study that


systematically examines the role of collateral and personal guarantees


in Japan’s SME loan market. The two main contributions of the paper are


as follows. First, given that Japan is generally considered to have a


relationship-based financial system in which the relationship-lender,


the main bank, plays a central role in corporate financing (Rajan and


Zingales, 2003), the study helps to improve our understanding of the


role of collateral in relationship lending and complements existing


studies that focus on the United States and Europe. Second, and more


importantly, by distinguishing collateral and personal guarantees, the


study detects an important role of collateral in relationship lending


that has not been remarked on much before. As we argue below, although a


typical SME in Japan has a long-term relationship with its main bank, it


actually engages in transactions with several banks, which is not common


in other countries. A possible corollary of this is that because of the


informational


2


free-rider problem it creates, this practice may reduce the main


bank’s incentive to screen and monitor borrowers. Since collateral


defines the order of seniority among creditors, using collateral may


mitigate the free-


rider problem and enhance the main bank’s screening


and monitoring. This incentive effect for the main bank becomes tenuous


for personal guarantees, because personal guarantees do not define the


seniority among creditors. Thus, our work provides empirical evidence on




how collateral affects relationship lenders’ incentives, and


complements previous studies that focus on the problem of borrower


incentives (moral hazard and adverse selection).


The remainder of the paper is organized as follows. Section 2


develops our empirical hypotheses which are based on previous


theoretical models and empirical research. Section 3 describes the data


and variables that are used in the paper, and explains our empirical


model.


Section 4 presents the results of our empirical analysis, and


Section 5 concludes.


2 Empirical hypotheses


2.1 Borrower riskiness


Much of the empirical literature in this field examines theoretical


predictions of asymmetric information models on the relationship between


risk and collateral. If the bank cannot discern borrowers’ riskiness


(hidden information), then collateral may serve as a screening device to


distinguish between borrowers and to mitigate the adverse selection


problem (Bester, 1985). This follows from the observation that a lower-


risk borrower has a greater incentive to pledge collateral than a risky


borrower, because of his lower probability of failure and loss of


collateral. Hence, the lower- risk borrower will choose the contract with


collateral.


On the other hand, if the lender can observe the ex-ante risk, but


there are information asymmetries with regard to actions taken by the




borrower after the loan is extended, collateral potentially provides an


incentive to mitigate moral hazard. Thus, opposite to models focusing on


hidden information, those concentrating on hidden action suggest that it


is observably riskier borrowers that will pledge collateral, because


collateral induces more effort by the borrower (Boot, Thakor, and Udell,


1991), or reduces the incentives of strategic default (Bester, 1994).


Because our data base only contains measures of firms’ observed


riskiness


3


(namely, credit scores), we couch our first empirical hypothesis as


follows:


Hypothesis 1 (H1): The use of collateral is higher among observably


higher-risk (low credit score) borrowers if the lender requires


collateral in order to mitigate the extent of moral hazard.


Alternatively, if borrowers pledge collateral as a signal of their


unobserved high credit quality, then there is negative or no


relationship between the use of collateral and the credit score.


Consistent with the theory of moral hazard, most existing empirical


studies, including Berger and Udell (1990; 1995), have found a positive


relationship between colla


teral and borrowers’ ex


-


ante risk. Jiménez,


Salas and Saurina (2006)


directly test the adverse selection and moral hazard hypotheses by


separating ex-ante and ex-post measures of borrower riskiness, namely


defaults prior to and after the loan origination. Their results suggest




that although observed riskiness increases the likelihood that


collateral is used, there is also a negative association between


collateral and default after the loan has been granted, which is


consistent with the adverse selection argument.


It should be noted that theories of collateral as a solution to


moral hazard and/or adverse selection problems assume collateral is


external to the firm.


Unfortunately, our measure of the incidence of collateral does not


distinguish between firm (inside) collateral and personal (outside)


collateral. Hence, throughout our analysis, we will assume that


collateral is mostly inside, but allow for the fact that there may also


be some outside collateral. As for personal guarantees, they clearly


represent outside collateral.


2.2 Screening and monitoring by the lender


Recent research on collateral also discusses how collateral affects


lenders’ incentives with regard to information production, that is, the


screening of borrowers’



quality and the monitoring of their performance. These theories of


the effect of collateral on lenders’ incentives apply to both inside


and outside collateral. Manove, Padilla, and Pagano (2001), for instance,


argue that, from banks’ point of view, collateral can be considered as



a substitute for the evaluation of the actual risk of a borrower. Thus,


banks that are highly protected by collateral may perform less screening


of the projects they finance than is socially optimal.


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