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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.
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.
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
BUSINESS/ECONOMICS
In the Handbook of Asset and Liability Management: From Models to Optimal Return Strategies, Alexandre Adam presents a comprehensive guide to Asset and Liability Management. Written from a quantitative perspective with economic explanations, this book will appeal to both mathematicians and non-mathematicians alike as it gives an operational view on the business. Well structured, this book includes essential information on Balance Sheet Items and Products Modeling, Tools for Asset and Liability Managers, as well as Optimal Returns Strategies. Explaining, in detail, all the written and unwritten rules of Asset Liability Management, using up-to-date models and the latest findings, the Handbook of Asset and Liability Management is an essential tool for Asset and Liability Managers both for the present day and the future.
QFINANCE: The Ultimate Resource (5th edition) is the first-step reference for the finance professional or student of finance. Its coverage and author quality reflect a fine blend of practitioner and academic expertise, whilst providing the reader with a thorough education in the may facets of finance.
This first volume of the Handbook of Asset and Liability Management presents the theories and methods supporting models that align a firm's operations and tactics with its uncertain environment. Detailing the symbiosis between optimization tools and financial decision-making, its original articles cover term and volatility structures, interest rates, risk-return analysis, dynamic asset allocation strategies in discrete and continuous time, the use of stochastic programming models, bond portfolio management, and the Kelly capital growth theory and practice. They effectively set the scene for Volume Two by showing how the management of risky assets and uncertain liabilities within an integrated, coherent framework remains the core problem for both financial institutions and other business enterprises as well. *Each volume presents an accurate survey of a sub-field of finance*Fills a substantial gap in this field*Broad in scope
A clear understanding of what we know, don't know, and can't know should guide any reasonable approach to managing financial risk, yet the most widely used measure in finance today--Value at Risk, or VaR--reduces these risks to a single number, creating a false sense of security among risk managers, executives, and regulators. This book introduces a more realistic and holistic framework called KuU --the K nown, the u nknown, and the U nknowable--that enables one to conceptualize the different kinds of financial risks and design effective strategies for managing them. Bringing together contributions by leaders in finance and economics, this book pushes toward robustifying policies, portfolios, contracts, and organizations to a wide variety of KuU risks. Along the way, the strengths and limitations of "quantitative" risk management are revealed. In addition to the editors, the contributors are Ashok Bardhan, Dan Borge, Charles N. Bralver, Riccardo Colacito, Robert H. Edelstein, Robert F. Engle, Charles A. E. Goodhart, Clive W. J. Granger, Paul R. Kleindorfer, Donald L. Kohn, Howard Kunreuther, Andrew Kuritzkes, Robert H. Litzenberger, Benoit B. Mandelbrot, David M. Modest, Alex Muermann, Mark V. Pauly, Til Schuermann, Kenneth E. Scott, Nassim Nicholas Taleb, and Richard J. Zeckhauser. Introduces a new risk-management paradigm Features contributions by leaders in finance and economics Demonstrates how "killer risks" are often more economic than statistical, and crucially linked to incentives Shows how to invest and design policies amid financial uncertainty
Ample natural resource revenues create both opportunities and challenges for a sovereign to transform its natural resources into well-managed financial assets. Hence, inter-temporal smoothing of revenue and consumption/investment moves to the center stage of macroeconomic policies. The questions arising from natural resource wealth accumulation are becoming more pressing for many countries, given the need to achieve intergenerational equity in a context where commodity prices may not continue their upward trajectory of the past decade. Addressing these questions requires a flexible sovereign asset-liability management (SALM) framework that integrates various macroeconomic and financial trade-offs with the aim of containing financial risk to the sovereign balance sheet. The framework and policy advice aims to guide policymakers across different institutions in weighing those trade-offs.