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Utilization of Soft Information on Bank Performance: The Roles of Relationship Lending in Competitive Local Markets PDF

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SPRINGER BRIEFS IN ECONOMICS DEVELOPMENT BANK OF JAPAN RESEARCH SERIES Tadanori Yosano Takayoshi Nakaoka Utilization of Soft Information on Bank Performance The Roles of Relationship Lending in Competitive Local Markets SpringerBriefs in Economics Development Bank of Japan Research Series Series Editor Akiyoshi Horiuchi Editorial Board Members Shinji Hatta Kazumi Asako Toshihiro Ihori Eiji Ogawa Masaharu Hanazaki Makoto Anayama Jun-ichi Nakamura Kenji Tanaka Thisseriesischaracterizedbythecloseacademiccohesionoffinancialeconomics, environmental economics, and accounting, which are the three major fields of researchoftheResearchInstituteofCapitalFormation(RICF)attheDevelopment Bank of Japan (DBJ). Readers can acquaint themselves with how a financial intermediary efficiently restructuring firms in financial distress can contribute to economic development. Theaforementionedthreeresearchfieldsarecloselyconnectedwithoneanother in the following ways. DBJ has already developed several corporation-rating methods,includingtheenvironmentalratingbywhichDBJdecideswhetherornot tomakeconcessionstothecandidatefirm.Toevaluatetherelevanceofthisrating, research, which deploys not only financial economics but also environmental economics, is necessary. The accounting section intensively studies the structure of IFRS and Integrated Reporting to predict their effects on Japanese corporate governance. Although the disciplineofaccountingisusuallyisolatedfromfinancialeconomics,structuraland reliablepredictionisneverachievedwithoutsufficientandintegratedknowledgein both fields. Finally,theenvironmentaleconomicssectionislinkedtotheaccountingsection in the following manner. To establish green accounting (environmental account- ing), it is indispensable to explore what the crucial factors for the preservation of environment(e.g.,emissioncontrol)are.RICFiswellequippedtoaddresstheacute necessityfordiscourseamongresearcherswhobelongtothesethreedifferentfields. Titles in the series are authored not only by researchers at RICF but also by collaborating and contributing researchers from universities and institutions throughout Japan. Each proposal is carefully evaluated by the series editor and editorialboardmembers,whosubmitwrittenreportsthatappraiseeachproposalin terms of academic value and rigor and also provide constructive comments for further improvement. At times, the editorial board appoints external referees to provide additional comments. All prospective authors also presents their research findings to the editorial board in face-to-face editorial board meetings, where the serieseditorandeditorialboardmembersprovidefurtherdetailedcommentsonthe findings, methodology, overall presentation, and advice in preparing the book manuscript in English. More information about this subseries at http://www.springer.com/series/13542 Tadanori Yosano Takayoshi Nakaoka (cid:129) Utilization of Soft Information on Bank Performance The Roles of Relationship Lending in Competitive Local Markets 123 Tadanori Yosano Takayoshi Nakaoka Kobe University KindaiUniversity Kobe,Hyogo,Japan Osaka,Japan Research Institute of Capital Formation Research Institute of Capital Formation Development Bankof Japan Development Bankof Japan Chiyoda-ku, Tokyo,Japan Chiyoda-ku, Tokyo,Japan ISSN 2191-5504 ISSN 2191-5512 (electronic) SpringerBriefs inEconomics ISSN 2367-0967 ISSN 2367-0975 (electronic) Development Bankof JapanResearch Series ISBN978-981-13-8471-4 ISBN978-981-13-8472-1 (eBook) https://doi.org/10.1007/978-981-13-8472-1 ©DevelopmentBankofJapan2019 Thisworkissubjecttocopyright.AllrightsaresolelyandexclusivelylicensedbythePublisher,whether thewholeorpartofthematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseof illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmissionorinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilar ordissimilarmethodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. Thepublishers,theauthors,andtheeditorsaresafetoassumethattheadviceandinformationinthis book are believed to be true and accurate at the date of publication. Neither the publishers nor the authorsortheeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinor for any errors or omissions that may have been made. The publishers remain neutral with regard to jurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSingaporePteLtd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Preface Thisbookexplorestheeffectsofsoftinformationutilizationinthedecisionprocess for lenders, especially concerning small and medium-sized enterprises (SMEs) in regionalmarkets.Thisstudyisoneofthefirststudiesthatusequestionnairesurvey data from lender representatives, analyzes the relationship between the financial metrics of a lender’s performance and soft information factors, and further applies this analysis to interbank completion. The authors’ empirical results suggest that utilizing soft information allows lenders to attain a more precise lending decision. The Financial Services Agency in Japan introduced an action program in 2003 that requires regional banks to shift from transaction-based lending to relationship lending.Against that background,this book examines theinfluence ofrelationship lending on a lender’s performance. This study found that relationship lending allowslenderstochargeahigherpremiumtocounteractthehighriskinvolvedwith SMEs. This book also examines how relationship lending affects lending perfor- mance in interbank competition. The conclusion is that, even though interbank competition has negative effects, a bank in a competitive local market can acquire an informational advantage to limit its own loss. Thisbook specificallyconducts afactoranalysisusing thesurvey questionnaire data to categorize questionnaire items into three soft information factors: organi- zationalsystems,networksoralliances/partnerships,andbusinessandmanagement leadership. The authors’ findings suggest that information production, especially networkandbusiness/leadershipinformation,playsanessentialroleinpromotinga bank’s profitability. These effects are strong even when banks face high interbank competition. Relationship lending not only improves bankers’ lending techniques, butalsoencouragesintimatepersonalinteractionsandfurtherfostersandenhances theircommunityknowledge—whichenablethemtosurviveinahighlycompetitive market. v vi Preface These findings will be useful to scholars and policymakers in the field of rela- tionship lending, especially against the backdrop of advances in intelligent infor- mation technologies. Kobe, Japan Tadanori Yosano Osaka, Japan Takayoshi Nakaoka Acknowledgements We would like to thank Kamon Iwatsubo, Nobuyoshi Yamori, Kazuo Ogawa, Yoshiaki Ogura, Hirofumi Uchida, Hans Degryse, and Steven Ongena for their helpful comments. We are also grateful to the participants of 2010 Barcelona BankingSummerSchool,5thAppliedEconometricsConferenceatOsakaUniversity, and 2010 FMA meeting and, particularly, Klaus Schaeck, Gregory F. Udell, and AllenN.Berger.Weappreciatetheirvaluablecommentsandsuggestions.Anyerrors are our own. This research was financially supported by a grant-in-aid from the ZenginFoundationforStudiesonEconomicsandFinance. vii Contents 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 The Bank–Firm Relationship in Japan . . . . . . . . . . . . . . . . . . . . . 1 1.2 Enhancing Functions of Relationship Lending in Japan Since the Early 2000s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3 Soft and Hard Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.4 Centralized and Decentralized Organizations . . . . . . . . . . . . . . . . 9 1.5 Small, Medium-Sized, and Large Enterprises . . . . . . . . . . . . . . . . 10 1.6 Lending Technologies for SMEs: Transactional and Relationship Lending . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.7 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.8 Outlook . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2 Theory and Hypotheses: The Effects of Using Soft Information on a Lender’s Performance, Specifically in Interbank Competition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.1 Informational Asymmetry and Lock-In . . . . . . . . . . . . . . . . . . . . 17 2.2 Interbank Competition, the Shift to Relationship Lending, and Relationship Lending’s Effect on Profitability . . . . . . . . . . . . 20 2.3 The Informational Advantage of Relationship-Based Lending and Regional Banks’ Credit Analysis Skills . . . . . . . . . . . . . . . . . 23 2.4 Interbank Competition’s Effect on Loan Risk. . . . . . . . . . . . . . . . 24 2.5 Interbank Competitions and the Effect of Relationship Lending on Bad Loan Ratios . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.6 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 3 Survey Data from Japanese Regional Banks and Using Soft Information in Lending Decisions . . . . . . . . . . . . . . . . . . . . . . . 31 3.1 Characteristics of Japanese Banks . . . . . . . . . . . . . . . . . . . . . . . . 31 ix x Contents 3.2 Survey Description and a Data Sample . . . . . . . . . . . . . . . . . . . . 34 3.3 Using Soft Information in Lending Decision Processes. . . . . . . . . 38 3.4 A Factor Analysis for Soft Information and Our Sample’s Descriptive Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 3.5 Univariate Tests: The Relationship Between Soft Information Factor Scores and a Bank’s Performance . . . . . . . . . . . . . . . . . . . 42 3.6 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 Appendix 3.1: Survey Questionnaire Items (Conducted by SME Support, Japan). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 Appendix 3.2: The Underlying Factors in the Factor Analysis. . . . . . . . 52 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 4 The Influence of Using Soft Information on Lender Performance in Competitive Local Markets: An Empirical Analysis. . . . . . . . . . . 57 4.1 Multivariate Regression Models. . . . . . . . . . . . . . . . . . . . . . . . . . 57 4.2 Dependent and Explanatory Variables . . . . . . . . . . . . . . . . . . . . . 59 4.2.1 Soft Information Factors . . . . . . . . . . . . . . . . . . . . . . . . . 59 4.2.2 Loan Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 4.2.3 Bank-Specific and Local Market-Specific Variables . . . . . . 63 4.3 Regression Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 4.3.1 Multivariate Analysis of Loan Profitability . . . . . . . . . . . . 65 4.3.2 Multivariate Analysis of the Bad Loan Ratio. . . . . . . . . . . 74 4.4 Robustness Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 4.4.1 F-Test. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 4.4.2 Assessment of the Factor Scores’ Validity. . . . . . . . . . . . . 82 4.4.3 Random Effects GLS Regressions. . . . . . . . . . . . . . . . . . . 83 4.5 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Appendix 4.1: Interbank Competition and Loan Performance . . . . . . . . 89 Appendix 4.2: Interbank Competition and the Non-performing Loan Ratio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 5 Soft Information’s Role in Lending Decisions. . . . . . . . . . . . . . . . . . 93 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 5.2 Soft Information’s Effects on Loan Profitability . . . . . . . . . . . . . . 94 5.3 Soft Information’s Role in Lending Decisions . . . . . . . . . . . . . . . 95 5.4 Three Latent Factors and Information Efficacy . . . . . . . . . . . . . . . 96 5.4.1 Business and Management Leadership . . . . . . . . . . . . . . . 96 5.4.2 Networks or Alliances/Partnerships. . . . . . . . . . . . . . . . . . 99 5.4.3 Organizational Systems . . . . . . . . . . . . . . . . . . . . . . . . . . 101 5.5 Concluding Remarks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 Index .... .... .... .... .... ..... .... .... .... .... .... ..... .... 107

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