The banking sector has experienced drastic changes in the last few decades which were primarily driven by technological progress and bank consolidation. The consolidation has led to fewer branches and greater distance between banks and their borrowers. As a result, the availability of credit to small businesses decreased because banks could not assemble enough information over great distance to evaluate a borrower’s loan application.
Table of Contents
1. Introduction
2. The Impact of Technological Progress on Small Business Lending
3. The Role of Hard versus Soft Information
4. Efficiency and Cost Reductions in Loan Approval
5. Limitations of Credit Scoring Technology
6. Distance and Relationship Lending in Modern Banking
7. Conclusion
Objectives and Research Focus
This paper investigates the transformative effect of technological advancements on small business lending, specifically focusing on how credit scoring systems mitigate or perpetuate the challenges associated with physical distance between lenders and borrowers.
- Evolution of small business lending via credit scoring technology
- Distinction and complementarity between hard and soft information
- Efficiency gains and cost reductions for both banks and borrowers
- Risks associated with substituting human judgment with automated data
- The persistent relevance of geographic distance and relationship banking
Excerpt from the Book
The Role of Hard versus Soft Information
The banking sector has experienced drastic changes in the last few decades which were primarily driven by technological progress (DeYoung, et al., 2008) and bank consolidation (Petersen & Rajan, 2002). The consolidation has led to fewer branches and greater distance between banks and their borrowers (Petersen & Rajan, 2002, DeYoung, et al., 2008, Brevoort & Wolken, 2009). As a result, the availability of credit to small businesses decreased because banks could not assemble enough information over great distance to evaluate a borrower’s loan application (Craig & Hardee, 2007). Gathering information is a crucial part to assess a borrower’s creditworthiness. The collected information can be divided into hard and soft information. Hard Information is defined as quantitative and is quickly reduced to numbers and convenient to transmit. Soft information is difficult to summarise in a numeric score and primarily collected locally (Liberti & Petersen, 2017). The new lending technology (e.g. small business credit scoring (Berger & Udell, 2006)) which is based on hard information allows large banks to serve customers at a greater distance, increase credit availability for small businesses and reduce costs (Petersen & Rajan, 2002, Berger, et al., 2005, Beck & Demirguc-Kunt, 2006, Brevoort & Wolken, 2009, Berger & Black, 2011). However, technological progress can only partially substitute for the increase in distance because by replacing soft with hard information valuable information is not considered, which leads to the approval of bad loans and higher credit default rates (DeYoung, et al., 2008, Agarwal & Hauswald, 2010, Liberti & Petersen, 2017).
Summary of Chapters
1. Introduction: Provides an overview of how technological progress and bank consolidation have redefined the distance between lenders and small business borrowers.
2. The Impact of Technological Progress on Small Business Lending: Discusses the rise of Small Business Credit Scoring (SBCS) as the primary innovation influencing modern lending practices.
3. The Role of Hard versus Soft Information: Differentiates between quantitative data easily transmitted and qualitative, locally acquired information vital for credit assessment.
4. Efficiency and Cost Reductions in Loan Approval: Analyzes how automation and data standardization lead to reduced labor costs and faster loan processing times.
5. Limitations of Credit Scoring Technology: Explains why automated systems often fail to capture critical business intelligence, potentially leading to higher loan default rates.
6. Distance and Relationship Lending in Modern Banking: Examines the persistent advantage of local banks and the ongoing importance of business relationships in opaque markets.
7. Conclusion: Summarizes that while technology has significantly reduced the friction of distance, it has not fully replaced the need for localized information and human judgment.
Keywords
Small business lending, credit scoring, hard information, soft information, banking technology, financial intermediation, loan default rates, bank consolidation, relationship lending, information asymmetry, credit availability, loan pricing, geographic distance, automated lending, risk assessment.
Frequently Asked Questions
What is the primary focus of this research?
The research examines the impact of credit scoring technology on small business lending, specifically how it alters the relationship between geographic distance and credit availability.
What are the central themes discussed?
Key themes include the shift from traditional relationship banking to automated credit scoring, the trade-offs between hard and soft information, and the influence of banking consolidation.
What is the core objective of the paper?
The main objective is to evaluate how technology has reduced the importance of physical distance in banking while highlighting the persistent limitations of automated lending models.
Which methodology is employed in this study?
The study utilizes a review of empirical literature and existing economic theory to analyze the evolution of lending practices in the banking sector.
What does the main body of the work cover?
It covers the mechanisms of Small Business Credit Scoring (SBCS), the benefits of cost efficiency, and the risks associated with information loss in automated loan evaluations.
Which keywords best characterize this work?
The work is characterized by terms such as credit scoring, information asymmetry, financial technology, relationship banking, and loan default risks.
Why is soft information considered difficult for large banks to process?
Soft information is qualitative, context-dependent, and often requires local presence or personal relationships to acquire, making it incompatible with standardized, large-scale automated data systems.
How does technology affect the default rates of small business loans?
While technology increases efficiency, it can lead to higher default rates by replacing detailed, locally-derived soft information with limited hard data, potentially resulting in approval errors.
Does the author argue that distance is no longer relevant in modern banking?
No, the author concludes that while technology has made distance less critical than in the past, it remains an important factor, especially for opaque small businesses.
- Quote paper
- Georg Aumüllner (Author), 2017, Effects of technology progress on banking, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/389076
