RECONSIDERATION OF THE BANK CREDIT ASSESSMENTS: THEORETICAL AND PRACTICAL ISSUES Alexander Rad, Olof Wahlberg, Peter Öhman and Einar Häckner Paper presented at the ERES 2009 Conference, Stockholm June 24-27 2009 A Research program • Bank risk management – what is best practice? • A SME loan assessment study – ”the study” focusing on Lending Officers (”LO”s) assessments of loan applications from Small/Medium Sized Enterprises (”SME”s) • Research question for the study: How does a LO arrive at a summary conclusion on an individual SME loan application evaluation? 2 Purposes of the paper to ... • briefly outline the theoretical frame of reference for the research program and for the study to • identify information useful for bank credit assessments • discuss methods for the study • report on pilot testing of methods and assess their feasibility 3 Theoretical frame of reference 1. Theories on banking and finance 2. Accountability theory 3. Cognitive theory 4. Institutional theory and structuration theory 5. Sense-making theory 4 Credit assessment criteria A. B. C. D. E. F. G. H. I. J. K. Industry risk Business concept Financial statements Anticipated financial standing (budgets, cash flows) Company documents (reliable, verified etc.) Management and board Client’s record Market conditions Collaterals The bank’s loss risk The bank’s earning opportunities 5 The Repertory Grid Approach • Based on Personal Construct Theory (Kelly, 1955) • We see “the world” as bipolar constructs e.g. “Easy to assess – Difficult to assess” • Classes of phenomena in “the world” are called “elements” e.g. “Application cases”, “LOs”, “banks” or “clients” • Constructs are used as Likert scales to score elements • The output is a matrix (grid) with the scores for each element on each construct • The data captured can be analyzed e.g. by Principal Component (Factor) Analysis or Cluster Analysis 6 Constructs for pilot study 3 1. Easy (1) – difficult (7) to assess 2. Small (1) – large (7) influence by Basel agreements 3. Small (1) – large (7) impact on first time applicant (new client) 4. Requires future-orientated assessments to a small (1) – large (7) extent 5. Predominantly quantitative (1) – qualitative (7) information 6. Requires little (1) – much (7) time to assess 7. Little (1) – much (7) oral information 8. Predominantly objective (1) – subjective (7) assessments 9. Requires little (1) – much (1) second opinions 10. Small (1) – large (7) impact on recurring applicant (existing client) 11. Little (1) – much (7) relationship dependent 12. Small (1) – large (7) influence by the lending strategy of the bank 13. Requires little (1) – much (1) intuition 14. Small (1) – large (7) aid from decision supporting systems 7 8 9 Repertory Grid Plot - PCA Analysis Little intuition 13 I Collaterals 11 Little relationship dep Management/board F Much relationship dep 11 Much intuition 13 10 Repertory Grid Plot Varimax Rotated PCA Analysis – Component 1 10 Large imp 2nd time applicant I Collaterals Transac- 7 Little oral information tion 5 Quantitave information 8 Objective assessment 13 Little intuition 11 Little relationship dep Much relationship dep 11 Management/board F Much intuition 13 Relationship Subjective assessment 8 Qualitative information 5 Much oral information 7 Little impact for 2nd time applicant 10 11 Repertory Grid Plot Varimax Rotated PCA Analysis – Component 2 Future-oriented assessments Large support system Anticipated fin standing Much time consuming 14 D 6 4 Much future orientation K Bank’s earning opportunity Transaction Relationship Little future orientation 4 Industry Risk A 14 Small support system 6 Little time consuming Historically based assessments 12 Repertory Grid Plot Varimax Rotated PCA Analysis Future-oriented assessments Large support system 14 Anticipated fin standing D Much time consuming 6 10 Large imp 2nd time applicant I Collaterals Transac- 7 Little oral information tion 5 Quantitave information 8 Objective assessment 13 Little intuition 11 Little relationship dep Little future orientation 4 Industry Risk A 4 Much future orientation K Bank’s earning opportunity Much relationship dep 11 Management/board F Much intuition 13 Relationship Subjective assessment 8 Qualitative information 5 Much oral information 7 Little impact for 2nd time applicant 10 14 Small support system 6 Littel time consuming Historically based assessments 13 Contacts *Mid Sweden University Department of Social Sciences, 851 70 Sundsvall, Sweden Authors: [email protected] Corresponding [email protected] [email protected] [email protected] 14
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