Credit ratings, relationship lending and loan market efficiency

2017 ◽  
Vol 34 (1) ◽  
pp. 122-142 ◽  
Author(s):  
Keldon Bauer ◽  
Omar A. Esqueda
Keyword(s):  
Small Business ◽  
Market Efficiency ◽  
Credit Rating ◽  
Credit Ratings ◽  
Bank Lending ◽  
Relationship Lending ◽  
Content Type ◽  
Lending Relationships ◽  
Loan Market ◽  
Business Loan

Purpose Using the small-business loan market, this paper aims to test whether a structural shift in access to borrowers’ financial information (i.e. credit ratings) improves market efficiency, thereby improving entrepreneurs’ access to external capital. Design/methodology/approach This research uses the National Survey of Small Business Finance in a conditional logistic regression framework to tease out the marginal propensity to grant lines of credit given the firm’s credit rating – treating both of the events, namely, line of credit and credit ratings, as endogenous variables. This methodology overcomes potential reverse causality issues. Findings The results show that information brokers have allowed small firms to break away from long-term monopolistic lending relationships, thus contributing to more informationally efficient markets. Small businesses benefit from better-informed lenders by having better access to capital. Also, women appear less likely to receive a line of credit even after adjusting for credit ratings. Practical implications This research highlights the importance of credit report awareness/monitoring by entrepreneurs, as the small-business credit rating grows rapidly. Relationship lending is not enough to reach optimal financing costs. These papers call for more regulated credit ratings industry to reduce potential moral hazards. Originality/value This paper tests whether bank lending relationships (soft information) still matter after accounting for credit ratings (hard information). Additionally, this study measures the extent to which information sharing by data services bureaus, a proxy for informational efficiency, has increased allocation efficiency in the small-business loan market.

scholarly journals Unconventional Monetary Policy and Bank Lending Relationships

2020 ◽  
Author(s):  
Christophe Cahn ◽  
Anne Duquerroy ◽  
William Mullins
Keyword(s):  
Monetary Policy ◽  
Credit Ratings ◽  
Bank Lending ◽  
Relationship Lending ◽  
Unconventional Monetary Policy ◽  
Short Term ◽  
Lending Relationships ◽  
Policy Effects ◽  
Unique Variation

We explore how banks transmit central bank liquidity injections using unique variation in the ECB’s 2011-12 Very Long-Term Refinancing Operations (VLTROs) which affected lending to firms discontinuously across credit ratings (i.e., within banks). We show that banks transmit liquidity differently to multi-bank firms than to firms with only one bank. Single-bank firms receive longer-term relationship lending and increase investment, while multi-bank firms receive short-term transactions-style lending only. Policy effects are attributable to increasing the maturity of bank borrowing from the ECB in combination with allowing banks to use loans to firms as collateral for such borrowing.

A comparative study of economic growth as a key determinant of sovereign credit ratings in Africa

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Misheck Mutize ◽  
McBride Peter Nkhalamba
Keyword(s):  
Economic Growth ◽  
Credit Rating ◽  
Credit Ratings ◽  
Credit Rating Agencies ◽  
African Union ◽  
African Countries ◽  
Content Type ◽  
Rating Agencies ◽  
Sovereign Credit ◽  
Sovereign Credit Ratings

PurposeThis study is a comparative analysis of the magnitude of economic growth as a key determinant of long-term foreign currency sovereign credit ratings in 30 countries in Africa, Europe, Asia and Latin America from 2010 to 2018.Design/methodology/approachThe analysis applies the fixed effects (FE) and random effects (RE) panel least squares (PLS) models.FindingsThe authors find that the magnitude economic coefficients are marginally small for African countries compared to other developing countries in Asia, Europe and Latin America. Results of the probit and logit binary estimation models show positive coefficients for economic growth sub-factors for non-African countries (developing and developed) compared to negative coefficients for African countries.Practical implicationsThese findings mean that, an increase in economic growth in Africa does not significantly increase the likelihood that sovereign credit ratings will be upgraded. This implies that there is lack of uniformity in the application of the economic growth determinant despite the claims of a consistent framework by rating agencies. Thus, macroeconomic factors are relatively less important in determining country's risk profile in Africa than in other developing and developed countries.Originality/valueFirst, studies that investigate the accuracy of sovereign credit rating indicators and risk factors in Africa are rare. This study is a key literature at the time when the majority of African countries are exploring the window of sovereign bonds as an alternative funding model to the traditional concessionary borrowings from multilateral institutions. On the other hand, the persistent poor rating is driving the cost of sovereign bonds to unreasonably high levels, invariably threatening their hopes of diversifying funding options. Second, there is criticism that the rating assessments of the credit rating agencies are biased in favour of developed countries and there is a gap in literature on studies that explore the whether the credit rating agencies are biased against African countries. This paper thus explores the rationale behind the African Union Decision Assembly/AU/Dec.631 (XXVIII) adopted by the 28th Ordinary Session of the African Union held in Addis Ababa, Ethiopia in January 2017 (African Union, 2017), directing its specialized governance agency, the African Peer Review Mechanism (APRM), to provide support to its Member States in the field of international credit rating agencies. The Assembly of African Heads of State and Government highlight that African countries are facing the challenges of credit downgrades despite an average positive economic growth. Lastly, the paper makes contribution to the argument that the majority of African countries are unfairly rated by international credit rating agencies, raising a discussion of the possibility of establishing a Pan-African credit rating institution.

Lending relationships, credit ratings and bank loan spreads: evidence from Indonesian listed companies

2020 ◽  
Vol 16 (4) ◽  
pp. 455-479
Author(s):  
Yane Chandera ◽  
Lukas Setia-Atmaja
Keyword(s):  
Fixed Effects ◽  
Credit Ratings ◽  
Listed Companies ◽  
Bank Loan ◽  
Least Squares Regression ◽  
Firm Level ◽  
Content Type ◽  
Lending Relationships ◽  
Loan Spreads ◽  
The Impact

PurposeThis study examines the impact of firm-bank relationships on bank loan spreads and the mitigating role of firm credit ratings on that impact.Design/methodology/approachThe study sample consists of Indonesian publicly listed companies for the period 2006 to 2016; bank-loan data was extracted from the Loan Pricing Corporation Dealscan database. For the degree of firm-bank relationships, the data on each loan is manually computed, using five different methods taken from Bharath et al. (2011) and Fields et al. (2012). All of the regression analyses are controlled for the year fixed effects, heteroscedasticity, and firm-level clustering. To address the endogeneity issues, this study uses several methods, including partitioning the sample, running nearest-neighbour and propensity score matching tests, and using instrumental variables in two-staged least-squares regression models.FindingsIn line with relationship theory and in opposition to the hold-up argument, this study finds that lending relationships reduce bank loan spreads and that the impact is more noticeable among non-rated Indonesian firms. Specifically, each additional unit in the total number of years of a firm-bank relationship and the number of previous loan contracts with the same bank are associated with 7.34 and 9.15 basis-point decreases, respectively, in these loan spreads.Practical implicationsCorporations and banks should maintain close, long-term relationships to reduce the screening and monitoring costs of borrowing. Regulators should create public policies that encourage banks to put more emphasis on relationships in their lending practices, especially in relation to crisis-prone companies.Originality/valueTo the best of the authors’ knowledge, this is the first study to examine the impact of lending relationships on bank loan spreads in Indonesia. The study offers insights on banking relationships in emerging markets with concentrated banking industries, underdeveloped capital markets and prominent business-group affiliations.

US rating agency reform to rest on enforcement

2016 ◽  
Keyword(s):  
Business Model ◽  
Global Economy ◽  
Annual Report ◽  
Credit Rating ◽  
Credit Ratings ◽  
Securities And Exchange Commission ◽  
Political Support ◽  
Political Debate ◽  
Content Type ◽  
Rating Agencies

Subject The latest annual report of the Securities and Exchange Commission (SEC) on credit ratings agencies (CRAs). Significance The latest annual report of the Securities and Exchange Commission (SEC) on credit rating agencies (CRAs) suggests that practices that contributed to the 2007-08 financial crisis persist, and that the prevailing CRA business model continues to incentivise high credit ratings rather than accurate ones. The underlying conflict of interest inherent in the prevailing CRA business model is well-recognised, but there is a lack of broad political support to address the problem. Impacts The report will increase pressure on the SEC to strengthen its CRA enforcement policy. The report is shaping the terms of political debate and providing fodder, especially for Democratic presidential candidate Bernie Sanders. Renewed financial market turbulence and strains in the global economy could provide fresh tests for CRAs.

Goodwill impairment loss and bond credit rating

2017 ◽  
Vol 25 (1) ◽  
pp. 2-20 ◽  
Author(s):  
Li Sun ◽  
Joseph H. Zhang
Keyword(s):  
Regression Analysis ◽  
Credit Rating ◽  
Credit Ratings ◽  
Negative Relationship ◽  
Least Squares Regression ◽  
Firm Level ◽  
Content Type ◽  
Goodwill Impairment ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this study is to examine the impact of goodwill impairment losses on bond credit ratings. Design/methodology/approach The authors use regression analysis to examine the relationship between goodwill impairment losses and bond credit ratings. Findings The empirical results show a negative relationship between the amount of goodwill impairment losses and bond credit ratings, suggesting that firms with goodwill impairment losses receive lower credit ratings. The authors perform various additional tests, including subsamples in good or bad market time, changes analysis, first time goodwill impairment firms vs subsequent impairment and the two-stage least squares regression analysis to address potential endogeneity issues. The main results persist. Originality/value This paper links and contributes to two streams of literature: goodwill impairment in accounting literature and bond credit ratings in finance literature. Whether a firm’s goodwill impairment losses affect the firm’s bond credit rating remains an interesting question that has not been examined previously. To the best of the authors’ knowledge, this is the first study that directly examines the relationship between goodwill impairment losses and bond ratings at the firm level.

The geographical and income differences in the determinants of African sovereign credit ratings

2020 ◽  
Vol 11 (4) ◽  
pp. 609-624
Author(s):  
Ilse Botha ◽  
Marinda Pretorius
Keyword(s):  
Credit Rating ◽  
Credit Ratings ◽  
African Countries ◽  
Content Type ◽  
Rating Agencies ◽  
Sovereign Credit ◽  
Additional Information ◽  
Income Groups ◽  
Sovereign Credit Ratings ◽  
Developmental Indicators

PurposeThe importance of obtaining a sovereign credit rating from an agency is still underrated in Africa. Literature on the determinants of sovereign credit ratings in Africa is scarce. The purpose of this research is to determine what the determinants are for sovereign credit ratings in Africa and whether these determinants differ between regions and income groups.Design/methodology/approachA sample of 19 African countries' determinants of sovereign credit ratings are compared between 2007 and 2014 using a panel-ordered probit approach.FindingsThe findings indicated that the determinants of sovereign credit ratings differ between African regions and income groups. The developmental indicators were the most significant determinants across all income groups and regions. The results affirm that the identified determinants in the literature are not as applicable to African sovereigns, and that developmental variables and different income groups and regions are important determinants to consider for sovereign credit ratings in Africa.Originality/valueThe results affirm that the identified determinants in the literature are not as applicable to African sovereigns, and that developmental variables and different income groups and regions are important determinants to consider for sovereign credit ratings in Africa. Rating agencies follow the same rating assignment process for developed and developing countries, which means investors will have to supplement the allocated credit rating with additional information. Africa can attract more investment if African countries obtain formal, accurate sovereign credit ratings, which take the characteristics of the continent into consideration.

Credit risk signals in CDS market vs agency ratings

2016 ◽  
Vol 17 (2) ◽  
pp. 194-217 ◽  
Author(s):  
Michael Jacobs Jr ◽  
Ahmet K. Karagozoglu ◽  
Dina Naples Layish
Keyword(s):  
Credit Risk ◽  
Credit Rating ◽  
Credit Ratings ◽  
Credit Default Swap ◽  
Risk Assessments ◽  
Content Type ◽  
Rating Agencies ◽  
Market Participants ◽  
Credit Default ◽  
The Relationship

Purpose This research aims to model the relationship between the credit risk signals in the credit default swap (CDS) market and agency credit ratings, and determines the factors that help explain the variation in such signals. Design/methodology/approach A comprehensive analysis of the differences in the relative credit risk assessments of CDS-based risk signals and agency ratings is provided. It is shown that the divergence between credit risk signals in the CDS market and agency ratings is explained by factors which the rating agencies may consider differently than credit market participants. Findings The results suggest that agency credit ratings of relative riskiness of a reference entity do not always correspond with assessments by CDS spreads, as the price of risk is a function of additional macro and micro factors that can be explained using statistical analysis. Originality/value This research is unique in modeling the relationship between the credit risk assessments of the CDS market and the agency ratings, which to the best of the authors' knowledge has not been analyzed before in terms of their agreement and the level of discrepancy between them. This model can be used by investors in debt instruments that are not explicitly CDSs or which have illiquid CDS contracts, to replicate market-based, point-in-time credit risk signals. Based on both market-based and firm-specific factors in this model, the results can be used to augment through-the-cycle credit risk assessments, analyze issues surrounding the pricing of CDSs and examine the policies of credit rating agencies.

The impact of market sectors and rating agencies on credit ratings: global evidence

2019 ◽  
Vol 20 (5) ◽  
pp. 389-410
Author(s):  
Kerstin Lopatta ◽  
Magdalena Tchikov ◽  
Finn Marten Körner
Keyword(s):  
Credit Risk ◽  
Credit Rating ◽  
Credit Ratings ◽  
Content Type ◽  
Rating Agencies ◽  
Credit Rating Agency ◽  
Rating Agency ◽  
Investment Grade ◽  
The Impact ◽  
Rating Downgrades

Purpose A credit rating, as a single indicator on one consistent scale, is designed as an objective and comparable measure within a credit rating agency (CRA). While research focuses mainly on the comparability of ratings between agencies, this paper additionally questions empirically how CRAs meet their promise of providing a consistent assessment of credit risk for issuers within and between market segments of the same agency. Design/methodology/approach Exhaustive and robust regression analyses are run to assess the impact of market sectors and rating agencies on credit ratings. The examinations consider the rating level, as well as rating downgrades as a further measure of empirical credit risk. Data stems from a large global sample of Bloomberg ratings from 11 market sectors for the period 2010-2018. Findings The analyses show differing effects of sectors and agencies on issuer ratings and downgrade probabilities. Empirical results on credit ratings and rating downgrades can then be attributed to investment grade and non-investment grade ratings. Originality/value The paper contributes to current finance research and practice by examining the credit rating differences between sectors and agencies and providing assistance to investors and other stakeholders, as well as researchers, how issuers’ sector and rating agency affiliations act as relative metrics.

scholarly journals Collateral, mutual guarantees and the entrepreneurial orientation of SMEs

2019 ◽  
Vol 57 (1) ◽  
pp. 168-192 ◽  
Author(s):  
Federico Beltrame ◽  
Josanco Floreani ◽  
Luca Grassetti ◽  
Michela Cesarina Mason ◽  
Stefano Miani
Keyword(s):  
Entrepreneurial Orientation ◽  
Financial Risk ◽  
Explanatory Power ◽  
Bank Lending ◽  
Future Research ◽  
Relationship Lending ◽  
Content Type ◽  
Credit Access ◽  
Firm Data

Purpose The purpose of this paper is to investigate whether guarantees characterised by different degrees of relationship lending (particularly referring to collateral and guarantees provided by Mutual Loan Guarantee Institutions) are able to convey some entrepreneurial orientation (EO) dimensions from firms to banks. Design/methodology/approach Exploiting data from a survey of Austrian and Italian SMEs, the empirical analysis is based on a sample of 328 small business firms. To test the signalling hypothesis, the authors used logistic regressions to assess the explanatory power of EO dimensions on the presence of several types of guarantees. Findings The analyses suggest that collateral cannot signal any EO dimension, even when controlling for the strength of the bank – firm relationship. Furthermore, SMEs are able to mitigate their financial risk through collateral only in a multiple bank – firm relationship. Lastly, innovativeness, competitive energy and aggressiveness allow SMEs to obtain external guarantees (mutual guarantees, bank guarantees and public guarantees, respectively), helpful in order to promote credit access. Research limitations/implications The mediation role of collateral and external guarantees on EO – credit access relation should be analysed in future research. Since the role of guarantees can change among different bank lending technologies, further studies should carefully consider lender’s characteristics. Lastly, the use of loan data in respect of the firm data can help to better separate the effect of loan and firm attributes on the collateral. Practical implications The study suggests how managers and entrepreneurs should manage the financial risk through collateral in different situations (one–to–one and multiple bank – firm relationship). Furthermore, depending on the level of innovativeness, competitive energy and aggressiveness, a firm should request a specific type of external guarantees in order to increment the credit availability, to maximise the possibility of success and to improve its performance. Originality/value To the authors’ knowledge, this paper is the first attempt to analyse whether EO affects the request for guarantees instead of credit access. This can be helpful especially when the banks involved in the relation apply a transaction lending technology.

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