A comprehensive book on validation with coverage of all the risk management models.

This Detailed Assessment of Observance on the Basel Core Principles (BCP) for effective banking supervision on Thailand highlights that there have been significant enhancements to the legal framework and the supervisory process since the last BCP review, resulting in high compliance. The commercial banking sector appears to be sound and stable with a diversified lending profile and a steady source of funding. The involvement of other ministerial authorities in Specialized Financial Institutions supervision may affect standard-setting processes and the mindset of key decision makers for commercial banks when trying to level regulatory standards. The supervisory framework and practices provide the foundation for the continued development of risk-based supervision. Notifications and examination manuals increasingly focus on analysis of qualitative factors such as governance, risk management and risk appetite statements to determine the bank’s composite rating. The report recommends that efficiency of enforcement actions would be increased by aligning Financial Institutions Business Act requirements and Bank of Thailand internal practices.

The book provides an engaging account of theoretical, empirical, and practical aspects of various statistical methods in measuring risks of financial institutions, especially banks. In this book, the author demonstrates how banks can apply many simple but effective statistical techniques to analyze risks they face in business and safeguard themselves from potential vulnerability. It covers three primary areas of banking; risks-credit, market, and operational risk and in a uniquely intuitive, step-by-step manner the author provides hands-on details on the primary statistical tools that can be applied for financial risk measurement and management. The book lucidly introduces concepts of various well-known statistical methods such as correlations, regression, matrix approach, probability and distribution theorem, hypothesis testing, value at risk, and Monte Carlo simulation techniques and provides a hands-on estimation and interpretation of these tests in measuring risks of the financial institutions. The book strikes a fine balance between concepts and mathematics to tell a rich story of thoughtful use of statistical methods.

This book is a one-stop-shop reference for risk management practitioners involved in the validation of risk models. It is a comprehensive manual about the tools, techniques and processes to be followed, focused on all the models that are relevant in the capital requirements and supervisory review of large international banks.

RISK MANAGEMENT AND FINANCIAL INSTITUTIONS THE GOLD STANDARD IN FINANCIAL RISK MANAGEMENT TEXTBOOKS In the newly revised sixth edition of Risk Management and Financial Institutions, celebrated risk and derivatives expert John C. Hull delivers an incisive and comprehensive discussion of financial risk and financial institution regulation. In the book, you’ll learn to understand the financial markets, the risks they pose to various kinds of financial institutions, and how those risks are affected by common regulatory structures. This book blends discussion of best practices in risk management with holistic treatments of how financial institutions are regulated. It explores market, credit, liquidity, model, climate, cyber, and operational risk. This latest edition also offers: Updated ancillary and digital materials covering all the latest content, including software, practice questions, and teaching supplements Access to an updated website that reflects the new content Fulsome coverage of the most important financial market developments since the publication of the fifth edition, including regulatory changes, the growing importance of climate risk, the use of machine learning models, and the disappearance of LIBOR A must-have resource for undergraduate and graduate students of business and finance, Risk Management and Financial Institutions, Sixth Edition, cements this celebrated text as the gold standard in risk management resources.

Overview An EMBA (or Master of Business Administration in General Management) is a degree that will prepare you for management positions. Content - Strategy - Organisational Behaviour - Operations Management - Negotiations - Marketing - Leadership - Financial Accounting - Economics - Decision Models - Data Analysis - Corporate Finance Duration 10 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when youfeel ready to take the exam and we’ll send you the assign- ment questions. Study material The study material will be provided in separate files by email / download link.

Enterprise Risk Management in Finance is a guide to measuring and managing Enterprise-wide risks in financial institutions. Financial institutions operate in a unique manner when compared to other businesses. They are, by the nature of their business, highly exposed to risk at every level, and indeed employ their own risk management functions to manage many of these risks. However, financial firms are also highly exposed at enterprise level. Traditional approaches and frameworks for ERM are flawed when applied to banks, asset managers or insurance houses, and a different approach is needed. This new book provides a comprehensive, technical guide to ERM for financial institutions. Split into three parts, it first sets the scene, putting ERM in the context of finance houses. It will examine the financial risks already inherent in banking, and then insurance operations, and how these need to be accounted for at a floor and enterprise level. The book then provides the necessary tools to implement ERM in these environments, including performance analysis, credit analysis and forecasting applications. Finally, the book provides real life cases of successful and not so successful ERM in financial institutions. Technical and rigorous, this book will be a welcome addition to the literature in this area, and will appeal to risk managers, actuaries, regulators and senior managers in banks and financial institutions.

Written by a practitioner with years working in CVA, FVA and DVA this is a thorough, practical guide to a topic at the very core of the derivatives industry. It takes readers through all aspects of counterparty credit risk management and the business cycle of CVA, DVA and FVA, focusing on risk management, pricing considerations and implementation.

A better development and implementation framework for credit risk scorecards Intelligent Credit Scoring presents a business-oriented process for the development and implementation of risk prediction scorecards. The credit scorecard is a powerful tool for measuring the risk of individual borrowers, gauging overall risk exposure and developing analytically driven, risk-adjusted strategies for existing customers. In the past 10 years, hundreds of banks worldwide have brought the process of developing credit scoring models in-house, while ‘credit scores' have become a frequent topic of conversation in many countries where bureau scores are used broadly. In the United States, the ‘FICO' and ‘Vantage' scores continue to be discussed by borrowers hoping to get a better deal from the banks. While knowledge of the statistical processes around building credit scorecards is common, the business context and intelligence that allows you to build better, more robust, and ultimately more intelligent, scorecards is not. As the follow-up to Credit Risk Scorecards, this updated second edition includes new detailed examples, new real-world stories, new diagrams, deeper discussion on topics including WOE curves, the latest trends that expand scorecard functionality and new in-depth analyses in every chapter. Expanded coverage includes new chapters on defining infrastructure for in-house credit scoring, validation, governance, and Big Data. Black box scorecard development by isolated teams has resulted in statistically valid, but operationally unacceptable models at times. This book shows you how various personas in a financial institution can work together to create more intelligent scorecards, to avoid disasters, and facilitate better decision making. Key items discussed include: Following a clear step by step framework for development, implementation, and beyond Lots of real life tips and hints on how to detect and fix data issues How to realise bigger ROI from credit scoring using internal resources Explore new trends and advances to get more out of the scorecard Credit scoring is now a very common tool used by banks, Telcos, and others around the world for loan origination, decisioning, credit limit management, collections management, cross selling, and many other decisions. Intelligent Credit Scoring helps you organise resources, streamline processes, and build more intelligent scorecards that will help achieve better results.

Introduction -- The case for precaution -- Fintech and risk management -- Fintech and capital intermediation -- Fintech and payments -- Current approaches to fintech and financial stability regulation -- Precautionary regulation of fintech innovation -- The bigger picture.