The Known The Unknown And The Unknowable In Financial Risk Management

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

The most complete, up-to-date guide to risk management in finance Risk Management and Financial Institutions, Fifth Edition explains all aspects of financial risk and financial institution regulation, helping you better understand the financial markets—and their potential dangers. Inside, you’ll learn the different types of risk, how and where they appear in different types of institutions, and how the regulatory structure of each institution affects risk management practices. Comprehensive ancillary materials include software, practice questions, and all necessary teaching supplements, facilitating more complete understanding and providing an ultimate learning resource. All financial professionals need to understand and quantify the risks associated with their decisions. This book provides a complete guide to risk management with the most up to date information. • Understand how risk affects different types of financial institutions • Learn the different types of risk and how they are managed • Study the most current regulatory issues that deal with risk • Get the help you need, whether you’re a student or a professional Risk management has become increasingly important in recent years and a deep understanding is essential for anyone working in the finance industry; today, risk management is part of everyone's job. For complete information and comprehensive coverage of the latest industry issues and practices, Risk Management and Financial Institutions, Fifth Edition is an informative, authoritative guide.

The dangers inherent in the financial system make understanding risk management essential for anyone working in, or planning to work in, the financial sector. A practical resource for financial professionals and students alike, Risk Management and Financial Institutions, Fourth Edition explains all aspects of financial risk as well as the way financial institutions are regulated, to help readers better understand financial markets and potential dangers. Fully revised and updated, this new edition features coverage of new regulatory issues, liquidity risk, and stress testing. In addition, end-of-chapter practice problems and a website featuring supplemental materials designed to provide a more comprehensive learning experience make this the ultimate learning resource. Written by acclaimed risk management expert, John Hull, Risk Management and Financial Institutions is the only book you need to understand—and respond to—financial risk. The new edition of the financial risk management bestseller Describes the activities of different types of financial institutions, explains how they are regulated, and covers market risk, credit risk, operational risk, liquidity risk, and model risk Features new coverage of new regulatory issues, liquidity risk, and stress testing Provides readers with access to a supplementary website offering software and unique learning aids Author John Hull is one of the most respected authorities on financial risk management A timely update to the definitive resource on risk in the financial system, Risk Management and Financial Institutions + Website, Fourth Edition is an indispensable resource from internationally renowned expert John Hull.

This book examines a key aspect of the post-financial crisis reform package in the EU and UK-the ratcheting up of internal control in banks and financial institutions. The legal framework for internal controls is an important part of prudential regulation, and internal control also constitutes a form of internal gate-keeping for financial firms so that compliance with laws and regulations can be secured. This book argues that the legal framework for internal control, which is a form of meta-regulation, is susceptible to weaknesses, and such weaknesses are critically examined by adopting an interdisciplinary approach. The book discusses whether post-crisis reforms adequately address the weaknesses in regulating internal control and proposes an alternative strategy to enhance the 'governance' effectiveness of internal control.

This text takes risk management theory and explains it in a 'this is how you do it' manner for practical application in today's financial world.

Christian Hugo Hoffmann undermines the citadel of risk assessment and management, arguing that classical probability theory is not an adequate foundation for modeling systemic and extreme risk in complex financial systems. He proposes a new class of models which focus on the knowledge dimension by precisely describing market participants’ own positions and their propensity to react to outside changes. The author closes his thesis by a synthetical reflection on methods and elaborates on the meaning of decision-making competency in a risk management context in banking. By choosing this poly-dimensional approach, the purpose of his work is to explore shortcomings of risk management approaches of financial institutions and to point out how they might be overcome.

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.

Thought-provoking and provocative, Slow Finance anticipates a profound change in public attitudes. It outlines how credit growth and globalisation have contributed to the excessive scale of the financial sector. Just as the Slow Food movement represents a reaction to the food industry losing sight of its ultimate purpose, Slow Finance explores how parallel trends will soon be reflected in the investment world. At once think-piece, potted history and call-to-action, the ideas in Slow Finance is an essential read for professionals, academics, business leaders and private investors alike, as well as policy-makers seeking a more sustainable approach to investing.

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Corporate governance in financial institutions has come under the spotlight since the banking crisis in the UK in 2008-9. In many respects, the banking business raises unique problems for corporate governance that are not found in other corporate secto

Risk management is a domain of management which comes to the fore in crisis. This book looks at risk management under crisis conditions in the COVID-19 pandemic context. The book synthesizes existing concepts, strategies, approaches and methods of risk management and provides the results of empirical research on risk and risk management during the COVID-19 pandemic. The research outcome was based on the authors’ study on 42 enterprises of different sizes in various sectors, and these firms have either been negatively affected by COVID-19 or have thrived successfully under the new conditions of conducting business activities. The analysis looks at both the impact of the COVID-19 pandemic on the selected enterprises and the risk management measures these enterprises had taken in response to the emerging global trends. The book puts together key factors which could have determined the enterprises’ failures and successes. The final part of the book reflects on how firms can build resilience in challenging times and suggests a model for business resilience. The comparative analysis will provide useful insights into key strategic approaches of risk management. The Open Access version of this book, available at http://www.taylorfrancis.com/books/oa-mono/10.4324/9781003131366/ has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

As the world's population lives longer, it will become increasingly important for plan sponsors, retirement advisors, regulators, and financial firms to focus closely on how older persons fare in the face of rising difficulties with cognition and financial management. This book offers state-of-the-art research and recommendations on how to evaluate when older persons need financial advice, help them make better financial decisions, and to identify policy options for handling these individual and social challenges efficiently and fairly. This latest volume in the Pension Research Council series, draws lessons from theory and practice, and will be of interest to employees and retirees, consumers and researchers, and financial institutions working to design better retirement plan offerings.

Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance.

Thoroughly researched contributions from conferences at Harvard and Paris on coping with ignorance in late medieval and early modern administrative practices, science, literature and the arts, are tightly connected by a new theoretical framework on how to historicize ignorance.

The De Gruyter Handbook of Sustainable Development and Finance explores the difficult and challenging issues confronting society and the environment, in the contexts of unprecedented climate change, bio-diversity loss and the global pandemic. In this seminal text exploring a wide range of topics, and in the devastating wake of COVID-19, scholars and practitioners analyse the effectiveness of current and proposed actions to build a sustainable future, and the public and private finance necessary to prevent an impending planetary catastrophe. The first section of the handbook introduces readers to the origins and evolution of sustainable development. An examination of public and private finance follows in the next two sections, presented from the perspectives of authors from both ‘developed’ and ‘developing’ countries. Climate change, one of the largest sectors of finance for sustainable development, is investigated in detail, as is the new and emerging development frontier, the ‘blue’ economy of the world’s oceans. Suitable for students, policymakers and the public at large, the handbook highlights the lessons learned and points the way forward for sustainable development and finance in the wake of the global pandemic, and the challenges to come.

Theoretical and practical insights that offer a platform for critical discussion and examine emergent controversies within the tourism industry such as the growth of alternative business models, travel in light of climate change and human resource ethics given the increasing adoption of artificial intelligence (AI), data and algorithms.