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

Credit Risk Management for Indian Banks is a one-stop reference book for practising credit risk professionals in the Indian banking sector. This is the first book of its kind, which is exclusively targets the practical needs of Indian bankers. It lays more emphasis on the ground realities of Indian banking and enunciates principles and guidelines of credit risk management based on real-life situations.

According to a dynamic panel estimated over 1995 - 2008 on around 80 banks in the GCC region, the NPL ratio worsens as economic growth becomes lower and interest rates and risk aversion increase. Our model implies that the cumulative effect of macroeconomic shocks over a three year horizon is indeed large. Firm-specific factors related to risk-taking and efficiency are also related to future NPLs. The paper finally investigates the feedback effect of increasing NPLs on growth using a VAR model. According to the panel VAR, there could be a strong, albeit short-lived feedback effect from losses in banks’ balance sheets on economic activity, with a semi-elasticity of around 0.4.

Over the last decade, the role of credit risk management practices in the overall risk management in the commercial banks was well accepted and banks have established a set of these practices, collectively known as Credit Risk Management (CRM) framework. The present paper evaluates the strength of CRM framework in the Indian banking industry, and makes a quantitative assessment of the overall CRM framework and each of its three major elements, namely, CRM organization, CRM policy and strategy, and CRM operations and systems. The CRM operations and systems are closely studied at transaction and portfolio levels. The paper statistically arrives at two potential areas of improvement that bank management should focus on in the near future, namely, credit risk monitoring at transaction level and credit portfolio risk analysis. The study provides new insights into CRM process and CRM framework in commercial banks.

This book explores risk culture in banks following the financial crisis. It analyses the role of national and institutional risk culture, market competitiveness, organisational systems and institutional practices that led to a weakening of risk culture in financial institutions leading up to the financial crisis. It addresses how to assess and measure risk culture, and analyse the impact on performance and reputation. Finally it explores the impact of regulation and a variety of tools that can be applied from the board down to promote a healthy risk culture in the governance of financial institutions internal controls and risk culture in banks.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.