Bank Asset and Liability Management


Book Description

Banks are a vital part of the global economy, and the essence of banking is asset-liability management (ALM). This book is a comprehensive treatment of an important financial market discipline. A reference text for all those involved in banking and the debt capital markets, it describes the techniques, products and art of ALM. Subjects covered include bank capital, money market trading, risk management, regulatory capital and yield curve analysis. Highlights of the book include detailed coverage of: Liquidity, gap and funding risk management Hedging using interest-rate derivatives and credit derivatives Impact of Basel II Securitisation and balance sheet management Structured finance products including asset-backed commercial paper, mortgage-backed securities, collateralised debt obligations and structured investment vehicles, and their role in ALM Treasury operations and group transfer pricing. Concepts and techniques are illustrated with case studies and worked examples. Written in accessible style, this book is essential reading for market practitioners, bank regulators, and graduate students in banking and finance. Companion website features online access to software on applications described in the book, including a yield curve model, cubic spline spreadsheet calculator and CDO waterfall model.




The Handbook of Asset/Liability Management: State-of-Art Investment Strategies, Risk Controls and Regulatory Required


Book Description

Completely revised and updated, the Handbook of Assetiability Management helps you keep your protfolio in line and market risk under control. This reference includes; The benefits from risk management; Asset securitization; Measuring interest rate and yield curve risk; Using OAS to implement value at risk balance sheet management; Hedging with derivatives; Implementing controls for managing derivative positions.




Asset Liability Management. 3rd Edition


Book Description

The book begins with a description of how the revenue generation mechanism of a bank works. Asset liability management (ALM) and associated interest rate and liquidity risks are defined and other measures such as duration and convexity are calculated. In order to understand the various yield curve shapes, shifts and outlooks, a review of the historical US yield term structures is conducted. This is followed by a look at various ALM strategies, in view of future expected interest rate outlooks, and their impact on the maturity distributions of assets & liabilities of banks. Next, the various assumptions used in an ALM model are assessed, followed by an explanation of price and rate gaps with some basic illustrations to understand the concepts of net interest income at risk and market value at risk. ALM reports profile cash flows by maturity or reset buckets. A methodology for building maturity and liquidity profiles for banks’ advances and deposits portfolios using the Pivot table & chart functionality in EXCEL is discussed. Step by step methodologies for various ALM measurement tools follow. These include Fall in Market Value of Equity, Earnings at Risk, Cost to Close liquidity gap, Cost to Close interest rate gap, Rate Sensitive Gap, Duration Gap. An overview of other ALM reports such as price sensitive gap, net interest income (NII) and liquidity gap is given. Applications for explaining immunization and portfolio dedication are presented. An EXCEL Solver based fixed income portfolio optimization model is discussed and scenarios for minimizing duration and maximizing convexity of the portfolio are presented. A discussion of liquidity risk management measures including ratios and analyses for measuring liquidity risk, limits for managing the risk, general and specific requirements for developing a contingency funding plan and liquidity enhancement tactics for company specific and systemic crisis. A methodology for stress testing liquidity using a Value at Risk (VaR) based approach for a fixed income portfolio is also discussed. The book concludes with a case-study for assessing why bank regulations fail. This simulation results based study looks at the efficacy of Capital Adequacy Ratio (CAR) as an indicator of bank performance and seeks to identify a more valuable leading indicator or target account for monitoring bank performance and health.




Asset and Liability Management Handbook


Book Description

Recent years have shown an increase in development and acceptance of quantitative methods for asset and liability management strategies. This book presents state of the art quantitative decision models for three sectors: pension funds, insurance companies and banks, taking into account new regulations and the industries risks.




Handbook of Asset and Liability Management


Book Description

The Handbooks in Finance are intended to be a definitive source for comprehensive and accessible information in the field of finance. Each individual volume in the series presents an accurate self-contained survey of a sub-field of finance, suitable for use by finance and economics professors and lecturers, professional researchers, graduate students and as a teaching supplement. It is fitting that the series Handbooks in Finance devotes a handbook to Asset and Liability Management. Volume 2 focuses on applications and case studies in asset and liability management.The growth in knowledge about practical asset and liability modeling has followed the popularity of these models in diverse business settings. This volume portrays ALM in practice, in contrast to Volume 1, which addresses the theories and methodologies behind these models. In original articles practitioners and scholars describe and analyze models used in banking, insurance, money management, individual investor financial planning, pension funds, and social security. They put the traditional purpose of ALM, to control interest rate and liquidity risks, into rich and broad-minded frameworks. Readers interested in other business settings will find their discussions of financial institutions both instructive and revealing.* Focuses on pragmatic applications * Relevant to a variety of risk-management industries* Analyzes models used in most financial sectors




Asset Liability Management Optimisation


Book Description

An advanced method for financial institutions to optimize Asset Liability Management for maximized return and minimized risk Financial institutions today are facing daunting regulatory and economic challenges. As they manage bank regulation and competition, institutions are also optimizing their Asset Liability Management (ALM) operations. The function of the ALM unit today goes beyond risk management related to the banking book into managing regulatory capital and positioning the balance sheet to maximize profit. Asset Liability Management Optimization: A Practitioner's Guide to Balance Sheet Management and Remodelling offers a step-by-step process for modeling and reshaping a bank's balance sheet. Based on the author's extensive research, it describes how to apply a quantifiable optimization method to help maximize asset return and minimize funding cost in the banking book. ALM ranks as a key component of any financial institution's overall operating strategy. Now, financial professionals can use an advanced solution for optimizing ALM. This book takes a closer look at the evolving role of the ALM function and the target position of the banking book. It provides strategies for active management, structuring, and hedging of a bank balance sheet, while also exploring additional topics related to ALM. A description of the Funds Transfer Pricing (FTP) process related to a bank’s target position Detailed examinations of interest rate risk in the banking book (IRRBB) Discussion of Basel III regulatory requirements and maturity gap analysis Overview of customer behavior, along with its impact on interest rate and liquidity risk Practical spreadsheet models (NII sensitivity and EVE volatility IRRBB model, simplified optimization model for minimization of average funding cost for a bank and an example of behavioral model for Non-Maturing Deposits) Explorations of model risk, sensitivity analysis, and case studies The optimization techniques found in Asset Liability Management Optimization can prove vital to financial professionals who are tasked with maximizing asset return and reducing funding costs as a critical part of business objectives.




Asset-Liability and Liquidity Management


Book Description

Asset-Liability and Liquidity Management distils the author’s extensive experience in the financial industry, and ALM in particular, into concise and comprehensive lessons. Each of the topics are covered with a focus on real-world applications, based on the author’s own experience in the industry. The author is the Vice President of Treasury Modeling and Analytics at American Express. He is also an adjunct Professor at New York University, teaching a variety of analytical courses. Learn from the best as Dr. Farahvash takes you through basic and advanced topics, including: The fundamentals of analytical finance Detailed explanations of financial valuation models for a variety of products The principle of economic value of equity and value-at-risk The principle of net interest income and earnings-at-risk Liquidity risk Funds transfer pricing A detailed Appendix at the end of the book helps novice users with basic probability and statistics concepts used in financial analytics.




Asset and Liability Management


Book Description

Written for a general business audiance, this is the first book on asset and liability management that emphasises both value creation and risk control.




Financial Risk Management


Book Description

A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.




Bank Asset Liability Management Best Practice


Book Description

As bankers incorporate more and more complicated and precise calculations and models, a solely mathematical approach will fail to confirm the viability of their business. This book explains how to combine ALM concepts with the emotional intelligence of managers in order to maintain the financial health of a bank, and quickly react to external environment challenges and banks’ microclimate changes. ALM embraces not only balance sheet targets setting, instruments and methodologies to achieve the targets, but also the correct and holistic understanding of processes that should be set up in a bank to prove its prudency and compliance with internal and external constraints, requirements and limitations and the ongoing continuity of its operations. Bank Asset Liability Management Best Practice delves into the philosophy of ALM, discusses the interrelation of processes inside the bank, and argues that every little change in one aspect of the bank processes has an impact on its other parts. The author discusses the changing role of ALM and its historical and current concepts, its strengths and weaknesses, and future threats and opportunities.