Retail Loans Basel Ii Using Portfolio Segmentation To Reduce Capital Requirements

This paper presents a new technique for grouping retail loans into homogenous risk pools, which adheres to the provisions of Basel II. We use recursive partitioning and test it on a data set of approximately 413,000 auto loans. By classifying loans according to selective predictors of default, we find that banks can achieve significant savings in terms of a lower regulatory capital requirement. Alternatively, this provides the opportunity to increase lending capacity.

The essence of this text is the application of The Basel II Framework Use Test. I will illustrate the facets of Use Test adherence with risk management tools and strategies that complement a banks pursuit of Advanced Internal Ratings Based Approach, Basel II Framework compliance. I will simultaneously pay close attention to the specific Basel II Framework, Use Test adherence measures. This book offers the practitioner a useful prescription for ensuring that their bank covers the necessary bases when pursuing its Basel II Framework implementation. It additionally puts into proper context where banks should be concerned in their pursuit of the Use Test, with specific attention to regulator, boards and executives concerns that the bank continues to operate with sound fiscal behaviour. The very foundation of a banks lending practices is the credit cycle. This book identifies both the traditional model and the newly minted Basel II model of the credit cycle. It also demonstrates practices that create sustainable business processes which optimize the risk-reward drivers of a retail banking environment. It focuses on the different operational areas of the bank and the role each plays within the Basel II credit cycle. Finally, it provides a foundation for which the credit practices present in Marketing, Underwriting, Account Management, Portfolio Management, Recoveries and Collections and Regulatory Capital setting can be justly applied. Banks must make use of The Basel II Framework estimation tools, thus confirming that they are predictive, accurate and reliable in the estimation of regulatory capital as well as in the day-to-day running of the bank. In spite of the prescriptive nature of The Basel II Framework model estimates this book will illustrate how to exploit their elemental design into profitable pursuits. While one fundamental challenge relating to Basel II Framework adherence is incorporating these tools into the Credit Cycle, another focuses on enhancing and improving existing credit practices found within the banks organizational structure in light of traditional banking shareholder drivers. This book thus simplifies this directive.

In this paper, we provide an overview of the concerns surrounding the variations in the calculation of risk-weighted assets (RWAs) across banks and jurisdictions and how this might undermine the Basel III capital adequacy framework. We discuss the key drivers behind the differences in these calculations, drawing upon a sample of systemically important banks from Europe, North America, and Asia Pacific. We then discuss a range of policy options that could be explored to fix the actual and perceived problems with RWAs, and improve the use of risk-sensitive capital ratios.

This book explains how a proper credit risk management framework enables banks to identify, assess and manage the risk proactively.

The coronavirus (COVID-19) crisis, which has hit financial systems across Africa, is likely to deteriorate banks’ balance sheets. The largest threat to banks pertains to their loan portfolios, since many borrowers have faced a sharp collapse in their income, and therefore have difficulty repaying their obligations as they come due. This could lead to a sharp increase in nonperforming loans (NPLs) in the short to medium term.

The use of credit scoring - the quantitative and statistical techniques to assess the credit risks involved in lending to consumers - has been one of the most successful if unsung applications of mathematics in business for the last fifty years. Now with lenders changing their objectives from minimising defaults to maximising profits, the saturation of the consumer credit market allowing borrowers to be more discriminating in their choice of which loans, mortgages and credit cards to use, and the Basel Accord banking regulations raising the profile of credit scoring within banks there are a number of challenges that require new models that use credit scores as inputs and extensions of the ideas in credit scoring. This book reviews the current methodology and measures used in credit scoring and then looks at the models that can be used to address these new challenges. The first chapter describes what a credit score is and how a scorecard is built which gives credit scores and models how the score is used in the lending decision. The second chapter describes the different ways the quality of a scorecard can be measured and points out how some of these measure the discrimination of the score, some the probability prediction of the score, and some the categorical predictions that are made using the score. The remaining three chapters address how to use risk and response scoring to model the new problems in consumer lending. Chapter three looks at models that assist in deciding how to vary the loan terms made to different potential borrowers depending on their individual characteristics. Risk based pricing is the most common approach being introduced. Chapter four describes how one can use Markov chains and survival analysis to model the dynamics of a borrower's repayment and ordering behaviour . These models allow one to make decisions that maximise the profitability of the borrower to the lender and can be considered as part of a customer relationship management strategy. The last chapter looks at how the new banking regulations in the Basel Accord apply to consumer lending. It develops models that show how they will change the operating decisions used in consumer lending and how their need for stress testing requires the development of new models to assess the credit risk of portfolios of consumer loans rather than a models of the credit risks of individual loans.