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| asset and risk management: Asset and Risk Management Louis Esch, Robert Kieffer, Thierry Lopez, 2005-09-27 The aim of this book is to study three essential components of modern finance – Risk Management, Asset Management and Asset and Liability Management, as well as the links that bind them together. It is divided into five parts: Part I sets out the financial and regulatory contexts that explain the rapid development of these three areas during the last few years and shows the ways in which the Risk Management function has developed recently in financial institutions. Part II is dedicated to the underlying theories of Asset Management and deals in depth with evaluation of financial assets and with theories relating to equities, bonds and options. Part III deals with a central theory of Risk Management, the general theory of Value at Risk or VaR, its estimation techniques and the setting up of the methodology. Part IV is the point at which Asset Management and Risk Management meet. It deals with Portfolio Risk Management (the application of risk management methods to private asset management), with an adaptation of Sharpe’s simple index method and the EGP method to suit VaR and application of the APT method to investment funds in terms of behavioural analysis. Part V is the point at which Risk Management and Asset and Liability Management (ALM) meet, and touches on techniques for measuring structural risks within the on and off balance sheet. The book is aimed both at financial professionals and at students whose studies contain a financial aspect. Esch, Kieffer and Lopez have provided us with a comprehensive and well written treatise on risk. This is a must read, must keep volume for all those who need or aspire to a professional understanding of risk and its management. —Harry M Markowitz, San Diego, USA |
| asset and risk management: Applied Asset and Risk Management Marcus Schulmerich, Yves-Michel Leporcher, Ching-Hwa Eu, 2014-10-20 This book is a guide to asset and risk management from a practical point of view. It is centered around two questions triggered by the global events on the stock markets since the middle of the last decade: - Why do crashes happen when in theory they should not? - How do investors deal with such crises in terms of their risk measurement and management and as a consequence, what are the implications for the chosen investment strategies? The book presents and discusses two different approaches to finance and investing, i.e., modern portfolio theory and behavioral finance, and provides an overview of stock market anomalies and historical crashes. It is intended to serve as a comprehensive introduction to asset and risk management for bachelor’s and master’s students in this field as well as for young professionals in the asset management industry. A key part of this book is the exercises to further demonstrate the concepts presented with examples and a step-by-step business case. An Excel file with the calculations and solutions for all 17 examples as well as all business case calculations can be downloaded at extras.springer.com. |
| asset and risk management: Financial Risk Management in Banking Dennis Uyemura, Uyemura Dennis, Gelder Joni Van, 1992-11 Presents an in-depth review of the tremendous risk and volatility in bank financial management. This book provides a comprehensive overview of aggressive asset and liability management (ALM) and demonstrates how ALM can strengthen the capital position of a financial institution. |
| asset and risk management: Financial Risk Management Jimmy Skoglund, Wei Chen, 2015-09-04 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. |
| asset and risk management: Quantitative Portfolio Optimisation, Asset Allocation and Risk Management M. Rasmussen, 2002-12-13 Targeted towards institutional asset managers in general and chief investment officers, portfolio managers and risk managers in particular, this practical book serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an accessible yet rigorous approach to investment management, it gradually introduces ever more advanced quantitative tools for these areas. Using extensive examples, this book guides the reader from basic return and risk analysis, all the way through to portfolio optimization and risk characterization, and finally on to fully fledged quantitative asset allocation and risk management. It employs such tools as enhanced modern portfolio theory using Monte Carlo simulation and advanced return distribution analysis, analysis of marginal contributions to absolute and active portfolio risk, Value-at-Risk and Extreme Value Theory. All this is performed within the same conceptual, theoretical and empirical framework, providing a self-contained, comprehensive reading experience with a strongly practical aim. |
| asset and risk management: Elements of Financial Risk Management Peter Christoffersen, 2011-11-22 The Second Edition of this best-selling book expands its advanced approach to financial risk models by covering market, credit, and integrated risk. With new data that cover the recent financial crisis, it combines Excel-based empirical exercises at the end of each chapter with online exercises so readers can use their own data. Its unified GARCH modeling approach, empirically sophisticated and relevant yet easy to implement, sets this book apart from others. Five new chapters and updated end-of-chapter questions and exercises, as well as Excel-solutions manual, support its step-by-step approach to choosing tools and solving problems. Examines market risk, credit risk, and operational risk Provides exceptional coverage of GARCH models Features online Excel-based empirical exercises |
| asset and risk management: AASHTO Transportation Asset Management Guide American Association of State Highway and Transportation Officials, 2011 Aims to encourage transportation agencies to address strategic questions as they confront the task of managing the surface transportation system. Drawn form both national and international knowledge and experience, it provides guidance to State Department of Transportation (DOT) decision makers, as well as county and municipal transportation agencies, to assist them in realizing the most from financial resources now and into the future, preserving highway assets, and providing the service expected by customers. Divided into two parts, Part one focuses on leadership and goal and objective setintg, while Part two is more technically oriented. Appendices include work sheets and case studies. |
| asset and risk management: Risk-sensitive Investment Management Mark H A Davis, Sebastien Lleo, 2014-07-21 Over the last two decades, risk-sensitive control has evolved into an innovative and successful framework for solving dynamically a wide range of practical investment management problems.This book shows how to use risk-sensitive investment management to manage portfolios against an investment benchmark, with constraints, and with assets and liabilities. It also addresses model implementation issues in parameter estimation and numerical methods. Most importantly, it shows how to integrate jump-diffusion processes which are crucial to model market crashes.With its emphasis on the interconnection between mathematical techniques and real-world problems, this book will be of interest to both academic researchers and money managers. Risk-sensitive investment management links stochastic control and portfolio management. Because of its distinct emphasis on integrating advanced theoretical concepts into practical dynamic investment management tools, this book stands out from the existing literature in fundamental ways. It goes beyond mainstream research in portfolio management in a traditional static setting. The theoretical developments build on contemporary research in stochastic control theory, but are informed throughout by the need to construct an effective and practical framework for dynamic portfolio management.This book fills a gap in the literature by connecting mathematical techniques with the real world of investment management. Readers seeking to solve key problems such as benchmarked asset management or asset and liability management will certainly find it useful. |
| asset and risk management: Liquidity Risk E. Banks, 2004-09-24 Much critical attention has been given in recent years to market and credit risks, which have a significant effect on corporate and financial operations and must be understood and managed with care. While these areas have rightly received considerable scrutiny, another critical dimension of financial risk - based on corporate liquidity - has been largely overlooked. Liquidity risk is the risk of loss arising from an inability to quickly realise asset value or obtain funding and can be damaging if not properly considered or actively managed. Lack of liquidity can lead to large losses in asset/liability portfolios and off balance sheet activities and in extreme cases can trigger financial distress and insolvency. Liquidity Risk is a comprehensive treatment of the topic focusing on the nature of the risk, problems that arise in asset and funding liquidity and mechanisms that can be developed to monitor, measure and control such risks. |
| asset and risk management: Financial Risk Management and Modeling Constantin Zopounidis, Ramzi Benkraiem, Iordanis Kalaitzoglou, 2021-09-13 Risk is the main source of uncertainty for investors, debtholders, corporate managers and other stakeholders. For all these actors, it is vital to focus on identifying and managing risk before making decisions. The success of their businesses depends on the relevance of their decisions and consequently, on their ability to manage and deal with the different types of risk. Accordingly, the main objective of this book is to promote scientific research in the different areas of risk management, aiming at being transversal and dealing with different aspects of risk management related to corporate finance as well as market finance. Thus, this book should provide useful insights for academics as well as professionals to better understand and assess the different types of risk. |
| asset and risk management: Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management Michele Leonardo Bianchi, Stoyan V Stoyanov, Gian Luca Tassinari, Frank J Fabozzi, Sergio Focardi, 2019-03-08 The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process. |
| asset and risk management: Strategic Risk Management Campbell R. Harvey, Sandy Rattray, Otto Van Hemert, 2021-05-04 STRATEGIC RISK MANAGEMENT Having just experienced a global pandemic that sent equity markets into a tailspin in March 2020, risk management is a more relevant topic than ever. It remains, however, an often poorly understood afterthought. Many portfolios are designed without any thought given to risk management before they are handed off to a dedicated—but separate—risk management team. In Strategic Risk Management: Designing Portfolios and Managing Risk, Campbell R. Harvey, Sandy Rattray, and Otto Van Hemert deliver a reimagining of the risk management process. The book envisions a marriage between the investment and risk processes, an approach that has proven successful at the world’s largest publicly listed hedge fund, Man Group. The authors provide readers with a new framework for portfolio design that includes defensive strategies, drawdown risk controls, volatility targeting, and actively timing rebalancing trades. You will learn about how the book’s new approach to risk management fared during the recent market drawdown at the height of the COVID-19 pandemic. You will also discover why the traditional risk weighting approach only works on certain classes of assets. The book shows you how to accurately evaluate the costs of defensive strategies and which ones offer the best and most cost-effective protection against market downturns. Finally, you will learn how to obtain a more balanced return stream by targeting volatility rather than a constant notional exposure and gain a deeper understanding of concepts like portfolio rebalancing. Perfect for people working in the asset management industry and financial policy makers, Strategic Risk Management: Designing Portfolios and Managing Risk will also earn a place in the libraries of economics and finance scholars, as well as casual readers who take an active approach to investing in their savings or pension assets. PRAISE FOR STRATEGIC RISK MANAGEMENT “Strategic Risk Management shows how to fully embed risk management into the portfolio management process as an equal partner to alpha. This should clearly be best practice for all asset managers.” —Jase Auby, Chief Investment Officer, the Teacher Retirement System of Texas “This book shows the power of integrating risk and investment management, rather than applying risk management as an afterthought to satisfy set limits. I was pleased to shepherd some of the key ideas in this book through the publication process at The Journal of Portfolio Management.” —Frank J. Fabozzi, Editor, The Journal of Portfolio Management “Financial markets today are quite different from those of the last century. Understanding leverage, correlations, tails, and other risk parameters of a portfolio is at least as important as work on signals and alpha. In that sense, bringing risk management from ‘control’ to ‘front office’ should be a priority for asset managers. This book explains how to do it.” —Marko Kolanovic, Chief Global Market Strategist, J.P. Morgan A powerful new approach to risk management in volatile and uncertain markets While the COVID-19 pandemic threw the importance of effective risk management into sharp relief, many investment firms hang on to a traditional and outdated model of risk management. Using siloed and independent portfolio management and risk monitoring teams, these firms miss out on the opportunities presented by integrated risk management. Strategic Risk Management: Designing Portfolios and Managing Risk delivers a fresh approach to risk management in difficult market conditions. The accomplished author team advocates for the amalgamation of portfolio design and risk monitoring teams, incorporating risk management into every aspect of portfolio design. The book provides a roadmap for the crucial aspects of portfolio design, including defensive strategies, drawdown risk controls, volatility targeting, and actively timing rebalancing trades. You will discover how these techniques helped the authors achieve remarkable results during the market drawdown in the midst of the COVID-19 pandemic and how they can help you protect your assets against unpredictable—but inevitable—future bear markets. Ideal for professionals in the asset management industry, Strategic Risk Management: Designing Portfolios and Managing Risk is a valuable resource for financial policy makers, economics and finance scholars, and anyone with even a passing interest in taking an active role in investing for their future. |
| asset and risk management: Risk Is an Asset Wayne Penello, Andrew P Furman, 2020-08-11 WAYNE PENELLO AND ANDREW FURMAN have spent the better part of forty years investigating traditional hedging practices and innovating a better solution. And that innovation put them on a path to invent a groundbreaking approach to hedging. Risk Is an Asset tells the story of that invention, and it will transform the way you think about hedging strategies. What you will learn by reading this book is that effective hedging is not a decision, it is a process they call Process Risk Management, or PRM. It is guided by risk metrics expressed in the same budgetary terms used to measure the success of your business. PRM helps each firm maintain focus on its own budgetary success and avoid the trap of trying to outguess the market. Why is measuring risk in budgetary terms important? Because if you measure the wrong things, you are unlikely to get the results you want. |
| asset and risk management: Essentials of Modeling and Analytics David B. Speights, Daniel M. Downs, Adi Raz, 2017-09-11 Essentials of Modeling and Analytics illustrates how and why analytics can be used effectively by loss prevention staff. The book offers an in-depth overview of analytics, first illustrating how analytics are used to solve business problems, then exploring the tools and training that staff will need in order to engage solutions. The text also covers big data analytical tools and discusses if and when they are right for retail loss prevention professionals, and illustrates how to use analytics to test the effectiveness of loss prevention initiatives. Ideal for loss prevention personnel on all levels, this book can also be used for loss prevention analytics courses. Essentials of Modeling and Analytics was named one of the best Analytics books of all time by BookAuthority, one of the world's leading independent sites for nonfiction book recommendations. |
| asset and risk management: Handbook of Financial Risk Management Thierry Roncalli, 2020-04-23 Developed over 20 years of teaching academic courses, the Handbook of Financial Risk Management can be divided into two main parts: risk management in the financial sector; and a discussion of the mathematical and statistical tools used in risk management. This comprehensive text offers readers the chance to develop a sound understanding of financial products and the mathematical models that drive them, exploring in detail where the risks are and how to manage them. Key Features: Written by an author with both theoretical and applied experience Ideal resource for students pursuing a master’s degree in finance who want to learn risk management Comprehensive coverage of the key topics in financial risk management Contains 114 exercises, with solutions provided online at www.crcpress.com/9781138501874 |
| asset and risk management: Cases on Optimizing the Asset Management Process González-Prida, Vicente, Márquez, Carlos Alberto Parra, Márquez, Adolfo Crespo, 2021-10-15 It is critical to improve the asset management system implementation as well as economics and industrial decision making to ensure that a business may move smoothly internally. Maintenance management should be aligned to the activities of maintenance in accordance with key business strategies, which must be designed under the comprehensive approach of an asset management process. After transforming the priorities of the business into priorities of maintenance, maintenance managers will use their medium-team strategies to tackle potential weaknesses in the maintenance of the equipment in accordance with these objectives. Cases on Optimizing the Asset Management Process explains and summarizes the processes and the reference frame necessary for the implementation of the Maintenance Management Model (MMM). This book acts as an overview of the current state of the art in asset management, providing innovative tools and practices from the fourth industrial revolution. Presenting topics like criticality analysis, physical asset maintenance, and unified modelling language, this text is essential for industrial and manufacturing engineers, plant supervisors, academicians, researchers, advanced-level students, technology developers, and managers who make decisions in this field. |
| asset and risk management: Financial Risk Management Steve L. Allen, 2012-12-19 A top risk management practitioner addresses the essentialaspects of modern financial risk management In the Second Edition of Financial Risk Management +Website, market risk expert Steve Allen offers an insider'sview of this discipline and covers the strategies, principles, andmeasurement techniques necessary to manage and measure financialrisk. Fully revised to reflect today's dynamic environment and thelessons to be learned from the 2008 global financial crisis, thisreliable resource provides a comprehensive overview of the entirefield of risk management. Allen explores real-world issues such as proper mark-to-marketvaluation of trading positions and determination of needed reservesagainst valuation uncertainty, the structuring of limits to controlrisk taking, and a review of mathematical models and how they cancontribute to risk control. Along the way, he shares valuablelessons that will help to develop an intuitive feel for market riskmeasurement and reporting. Presents key insights on how risks can be isolated, quantified,and managed from a top risk management practitioner Offers up-to-date examples of managing market and creditrisk Provides an overview and comparison of the various derivativeinstruments and their use in risk hedging Companion Website contains supplementary materials that allowyou to continue to learn in a hands-on fashion long after closingthe book Focusing on the management of those risks that can besuccessfully quantified, the Second Edition of FinancialRisk Management + Websiteis the definitive source for managingmarket and credit risk. |
| asset and risk management: Liquidity Risk E. Banks, 2013-11-06 Liquidity Management is now a core consideration for banks and other financial institutions following the collapse of numerous well-known banks in 2007-8. This timely new edition will provide practical guidance on liquidity risk and its management – now mandatory under new regulation. |
| asset and risk management: Strategic Risk Management David Iverson, 2013-09-03 A comprehensive guide to the key investment decisions all investors must make and how to manage the risk that entails Since all investors seek maximize returns balanced against acceptable risks, successful investment management is all about successful risk management. Strategic Risk Management uses that reality as a starting point, showing investors how to make risk management a process rather than just another tool in the investor's kit. The book highlights and explains primary investment risks and shows readers how to manage them across the key areas of any fund, including investment objectives, asset allocation, asset class strategy, and manager selection. With a strong focus on risk management at the time of asset allocation and at the time of implementation, the book offers important guidance for managers of benefit plans, endowments, defined contribution schemes, and family trusts. Offers a thorough examination of the role of risk management in the decision-making process for asset allocation, manager selection, and other duties of fund managers Written by the current head of portfolio design for the New Zealand Superannuation Fund Addresses the fundamental importance of risk management in today's post-crisis fund management landscape Strategic Risk Management is a comprehensive and easy-to-read guide that identifies the primary risks investors face and reveals how best to manage them. |
| asset and risk management: Investment Risk Management Harold Kent Baker, Greg Filbeck, 2015 Investment Risk Management provides an overview of developments in risk management and a synthesis of research on the subject. The chapters examine ways to alter exposures through measuring and managing risk exposures and provide an understanding of the latest strategies and trends within risk management. |
| asset and risk management: Risk and Asset Allocation Attilio Meucci, 2009-05-22 Discusses in the practical and theoretical aspects of one-period asset allocation, i.e. market Modeling, invariants estimation, portfolia evaluation, and portfolio optimization in the prexence of estimation risk The book is software based, many of the exercises simulate in Matlab the solution to practical problems and can be downloaded from the book's web-site |
| asset and risk management: Understanding Risk David Murphy, 2008-04-23 Sound risk management often involves a combination of both mathematical and practical aspects. Taking this into account, Understanding Risk: The Theory and Practice of Financial Risk Management explains how to understand financial risk and how the severity and frequency of losses can be controlled. It combines a quantitative approach with a |
| asset and risk management: Total Information Risk Management Alexander Borek, Ajith Kumar Parlikad, Jela Webb, Philip Woodall, 2013-08-30 How well does your organization manage the risks associated with information quality? Managing information risk is becoming a top priority on the organizational agenda. The increasing sophistication of IT capabilities along with the constantly changing dynamics of global competition are forcing businesses to make use of their information more effectively. Information is becoming a core resource and asset for all organizations; however, it also brings many potential risks to an organization, from strategic, operational, financial, compliance, and environmental to societal. If you continue to struggle to understand and measure how information and its quality affects your business, this book is for you. This reference is in direct response to the new challenges that all managers have to face. Our process helps your organization to understand the pain points regarding poor data and information quality so you can concentrate on problems that have a high impact on core business objectives. This book provides you with all the fundamental concepts, guidelines and tools to ensure core business information is identified, protected and used effectively, and written in a language that is clear and easy to understand for non-technical managers. - Shows how to manage information risk using a holistic approach by examining information from all sources - Offers varied perspectives of an author team that brings together academics, practitioners and researchers (both technical and managerial) to provide a comprehensive guide - Provides real-life case studies with practical insight into the management of information risk and offers a basis for broader discussion among managers and practitioners |
| asset and risk management: Handbook of Asset and Liability Management Alexandre Adam, 2008-03-11 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. |
| asset and risk management: Asset-Liability and Liquidity Management Pooya Farahvash, 2020-06-16 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 risk management: Extreme Financial Risks Yannick Malevergne, Didier Sornette, 2006-01-16 Clearly elucidates extreme financial risks associated with rare events such as financial crashes. The highlight of the book is the delineation of various copulas in conjunction with financial dependences among different assets of a portfolio. In particular, the insightful discussion on quadrant and orthant dependences casts new light on the connection between marginal models and financial dependence...brings a vivid portrayal of the subject. -- MATHEMATICAL REVIEWS |
| asset and risk management: Financial Risk Management Allan M. Malz, 2011-09-13 Financial risk has become a focus of financial and nonfinancial firms, individuals, and policy makers. But the study of risk remains a relatively new discipline in finance and continues to be refined. The financial market crisis that began in 2007 has highlighted the challenges of managing financial risk. Now, in Financial Risk Management, author Allan Malz addresses the essential issues surrounding this discipline, sharing his extensive career experiences as a risk researcher, risk manager, and central banker. The book includes standard risk measurement models as well as alternative models that address options, structured credit risks, and the real-world complexities or risk modeling, and provides the institutional and historical background on financial innovation, liquidity, leverage, and financial crises that is crucial to practitioners and students of finance for understanding the world today. Financial Risk Management is equally suitable for firm risk managers, economists, and policy makers seeking grounding in the subject. This timely guide skillfully surveys the landscape of financial risk and the financial developments of recent decades that culminated in the crisis. The book provides a comprehensive overview of the different types of financial risk we face, as well as the techniques used to measure and manage them. Topics covered include: Market risk, from Value-at-Risk (VaR) to risk models for options Credit risk, from portfolio credit risk to structured credit products Model risk and validation Risk capital and stress testing Liquidity risk, leverage, systemic risk, and the forms they take Financial crises, historical and current, their causes and characteristics Financial regulation and its evolution in the wake of the global crisis And much more Combining the more model-oriented approach of risk management-as it has evolved over the past two decades-with an economist's approach to the same issues, Financial Risk Management is the essential guide to the subject for today's complex world. |
| asset and risk management: Fundamentals Of Institutional Asset Management Frank J Fabozzi, Francesco A Fabozzi, 2020-10-12 This book provides the fundamentals of asset management. It takes a practical perspective in describing asset management. Besides the theoretical aspects of investment management, it provides in-depth insights into the actual implementation issues associated with investment strategies. The 19 chapters combine theory and practice based on the experience of the authors in the asset management industry. The book starts off with describing the key activities involved in asset management and the various forms of risk in managing a portfolio. There is then coverage of the different asset classes (common stock, bonds, and alternative assets), collective investment vehicles, financial derivatives, common stock analysis and valuation, bond analytics, equity beta strategies (including smart beta), equity alpha strategies (including quantitative/systematic strategies), bond indexing and active bond portfolio strategies, and multi-asset strategies. The methods of using financial derivatives (equity derivatives, interest rate derivatives, and credit derivatives) in managing the risks of a portfolio are clearly explained and illustrated. |
| asset and risk management: Risk Management and Value Mondher Bellalah, Jean-Luc Prigent, Jean-Michel Sahut, 2008 This book provides a comprehensive discussion of the issues related to risk, volatility, value and risk management. It includes a selection of the best papers presented at the Fourth International Finance Conference 2007, qualified by Professor James Heckman, the 2000 Nobel Prize Laureate in Economics, as a high level one. The first half of the book examines ways to manage risk and compute value-at-risk for exchange risk associated to debt portfolios and portfolios of equity. It also covers the Basel II framework implementation and securitisation. The effects of volatility and risk on the valuation of financial assets are further studied in detail. The second half of the book is dedicated to the banking industry, banking competition on the credit market, banking risk and distress, market valuation, managerial risk taking, and value in the ICT activity. With its inclusion of new concepts and recent literature, academics and risk managers will want to read this book. Sample Chapter(s). Introduction (40 KB). Chapter 1: Managing Derivatives in the Presence of a Smile Effect and Incomplete Information (97 KB). Contents: Managing Derivatives in the Presence of a Smile Effect and Incomplete Information (M Bellalah); A Value-at-Risk Approach to Assess Exchange Risk Associated to a Public Debt Portfolio: The Case of a Small Developing Economy (W Ajili); A Method to Find Historical VaR for Portfolio that Follows S&P CNX Nifty Index by Estimating the Index Value (K V N M Ramesh); Some Considerations on the Relationship between Corruption and Economic Growth (V Dragota et al.); Financial Risk Management by Derivatives Caused from Weather Conditions: Its Applicability for Trkiye (T uzkan); The Basel II Framework Implementation and Securitization (M-F Lamy); Stochastic Time Change, Volatility, and Normality of Returns: A High-Frequency Data Analysis with a Sample of LSE Stocks (O Borsali & A Zenaidi); The Behavior of the Implied Volatility Surface: Evidence from Crude Oil Futures Options (A Bouden); Procyclical Behavior of Loan Loss Provisions and Banking Strategies: An Application to the European Banks (D D Dinamona); Market Power and Banking Competition on the Credit Market (I Lapteacru); Early Warning Detection of Banking Distress OCo Is Failure Possible for European Banks? (A Naouar); Portfolio Diversification and Market Share Analysis for Romanian Insurance Companies (M Dragota et al.); On the Closed-End Funds Discounts/Premiums in the Context of the Investor Sentiment Theory (A P C do Monte & M J da Rocha Armada); Why has Idiosyncratic Volatility Increased in Europe? (J-E Palard); Debt Valuation, Enterprise Assessment and Applications (D Vanoverberghe); Does The Tunisian Stock Market Overreact? (F Hammami & E Abaoub); Investor-Venture Capitalist Relationship: Asymmetric Information, Uncertainty, and Monitoring (M Cherif & S Sraieb); Threshold Mean Reversion in Stock Prices (F Jawadi); Households'' Expectations of Unemployment: New Evidence from French Microdata (S Ghabri); Corporate Governance and Managerial Risk Taking: Empirical Study in the Tunisian Context (A B Aroui & F W B M Douagi); Nonlinearity and Genetic Algorithms in the Decision-Making Process (N Hachicha & A Bouri); ICT and Performance of the Companies: The Case of the Tunisian Companies (J Ziadi); Option Market Microstructure (J-M Sahut); Does the Standardization of Business Processes Improve Management? The Case of Enterprise Resource Planning Systems (T Chtioui); Does Macroeconomic Transparency Help Governments be Solvent? Evidence from Recent Data (R Mallat & D K Nguyen). Readership: Academics and risk managers. |
| asset and risk management: Asset and Liability Management Handbook G. Mitra, K. Schwaiger, 2011-03-29 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. |
| asset and risk management: Asset and Liability Management Jean Dermine, Youssef F. Bissada, 2007 Written for a general business audiance, this is the first book on asset and liability management that emphasises both value creation and risk control. |
| asset and risk management: Managing Downside Risk in Financial Markets Frank A. Sortino, Stephen Satchell, 2001-10-02 Quantitative methods have revolutionized the area of trading, regulation, risk management, portfolio construction, asset pricing and treasury activities, and governmental activity such as central banking to name but some of the applications. Downside-risk, as a quantitative method, is an accurate measurement of investment risk, because it captures the risk of not accomplishing the investor's goal. 'Downside Risk in Financial Markets' demonstrates how downside-risk can produce better results in performance measurement and asset allocation than variance modelling. Theory, as well as the practical issues involved in its implementation, is covered and the arguments put forward emphatically show the superiority of downside risk models to variance models in terms of risk measurement and decision making. Variance considers all uncertainty to be risky. Downside-risk only considers returns below that needed to accomplish the investor's goal, to be risky. Risk is one of the biggest issues facing the financial markets today. 'Downside Risk in Financial Markets' outlines the major issues for Investment Managers and focuses on downside-risk as a key activity in managing risk in investment/portfolio management. Managing risk is now THE paramount topic within the financial sector and recurring losses through the 1990s has shocked financial institutions into placing much greater emphasis on risk management and control. Free Software Enclosed To help you implement the knowledge you will gain from reading this book, a CD is enclosed that contains free software programs that were previously only available to institutional investors under special licensing agreement to The pension Research Institute. This is our contribution to the advancement of professionalism in portfolio management. The Forsey-Sortino model is an executable program that: 1. Runs on any PC without the need of any additional software. 2. Uses the bootstrap procedure developed by Dr. Bradley Effron at Stanford University to uncover what could have happened, instead of relying only on what did happen in the past. This is the best procedure we know of for describing the nature of uncertainty in financial markets. 3. Fits a three parameter lognormal distribution to the bootstrapped data to allow downside risk to be calculated from a continuous distribution. This improves the efficacy of the downside risk estimates. 4. Calculates upside potential and downside risk from monthly returns on any portfolio manager. 5. Calculates upside potential and downside risk from any user defined distribution. Forsey-Sortino Source Code: 1. The source code, written in Visual Basic 5.0, is provided for institutional investors who want to add these calculations to their existing financial services. 2. No royalties are required for this source code, providing institutions inform clients of the source of these calculations. A growing number of services are now calculating downside risk in a manner that we are not comfortable with. Therefore, we want investors to know when downside risk and upside potential are calculated in accordance with the methodology described in this book. Riddles Spreadsheet: 1. Neil Riddles, former Senior Vice President and Director of Performance Analysis at Templeton Global Advisors, now COO at Hansberger Global Advisors Inc., offers a free spreadsheet in excel format. 2. The spreadsheet calculates downside risk and upside potential relative to the returns on an index Brings together a range of relevant material, not currently available in a single volume source. Provides practical information on how financial organisations can use downside risk techniques and technological developments to effectively manage risk in their portfolio management. Provides a rigorous theoretical underpinning for the use of downside risk techniques. This is important for the long-run acceptance of the methodology, since such arguments justify consultant's recommendations to pension funds and other plan sponsors. |
| asset and risk management: Asset/liability Management of Financial Institutions Leo M. Tilman, 2003 As a guide to Assel/Liability Management (ALM) across financial institutions, this book is useful in developing consistent frameworks for risk management. |
| asset and risk management: Innovations in Quantitative Risk Management Kathrin Glau, Matthias Scherer, Rudi Zagst, 2015-01-09 Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed. |
| asset and risk management: Advanced Financial Risk Management Donald R. Van Deventer, Kenji Imai, Mark Mesler, 2013-02-06 Practical tools and advice for managing financial risk, updated for a post-crisis world Advanced Financial Risk Management bridges the gap between the idealized assumptions used for risk valuation and the realities that must be reflected in management actions. It explains, in detailed yet easy-to-understand terms, the analytics of these issues from A to Z, and lays out a comprehensive strategy for risk management measurement, objectives, and hedging techniques that apply to all types of institutions. Written by experienced risk managers, the book covers everything from the basics of present value, forward rates, and interest rate compounding to the wide variety of alternative term structure models. Revised and updated with lessons from the 2007-2010 financial crisis, Advanced Financial Risk Management outlines a framework for fully integrated risk management. Credit risk, market risk, asset and liability management, and performance measurement have historically been thought of as separate disciplines, but recent developments in financial theory and computer science now allow these views of risk to be analyzed on a more integrated basis. The book presents a performance measurement approach that goes far beyond traditional capital allocation techniques to measure risk-adjusted shareholder value creation, and supplements this strategic view of integrated risk with step-by-step tools and techniques for constructing a risk management system that achieves these objectives. Practical tools for managing risk in the financial world Updated to include the most recent events that have influenced risk management Topics covered include the basics of present value, forward rates, and interest rate compounding; American vs. European fixed income options; default probability models; prepayment models; mortality models; and alternatives to the Vasicek model Comprehensive and in-depth, Advanced Financial Risk Management is an essential resource for anyone working in the financial field. |
| asset and risk management: Information Governance Robert F. Smallwood, 2014-03-28 Proven and emerging strategies for addressing document and records management risk within the framework of information governance principles and best practices Information Governance (IG) is a rapidly emerging super discipline and is now being applied to electronic document and records management, email, social media, cloud computing, mobile computing, and, in fact, the management and output of information organization-wide. IG leverages information technologies to enforce policies, procedures and controls to manage information risk in compliance with legal and litigation demands, external regulatory requirements, and internal governance objectives. Information Governance: Concepts, Strategies, and Best Practices reveals how, and why, to utilize IG and leverage information technologies to control, monitor, and enforce information access and security policies. Written by one of the most recognized and published experts on information governance, including specialization in e-document security and electronic records management Provides big picture guidance on the imperative for information governance and best practice guidance on electronic document and records management Crucial advice and insights for compliance and risk managers, operations managers, corporate counsel, corporate records managers, legal administrators, information technology managers, archivists, knowledge managers, and information governance professionals IG sets the policies that control and manage the use of organizational information, including social media, mobile computing, cloud computing, email, instant messaging, and the use of e-documents and records. This extends to e-discovery planning and preparation. Information Governance: Concepts, Strategies, and Best Practices provides step-by-step guidance for developing information governance strategies and practices to manage risk in the use of electronic business documents and records. |
| asset and risk management: Enterprise Security Risk Management Brian Allen, Esq., CISSP, CISM, CPP, CFE, Rachelle Loyear CISM, MBCP, 2017-11-29 As a security professional, have you found that you and others in your company do not always define “security” the same way? Perhaps security interests and business interests have become misaligned. Brian Allen and Rachelle Loyear offer a new approach: Enterprise Security Risk Management (ESRM). By viewing security through a risk management lens, ESRM can help make you and your security program successful. In their long-awaited book, based on years of practical experience and research, Brian Allen and Rachelle Loyear show you step-by-step how Enterprise Security Risk Management (ESRM) applies fundamental risk principles to manage all security risks. Whether the risks are informational, cyber, physical security, asset management, or business continuity, all are included in the holistic, all-encompassing ESRM approach which will move you from task-based to risk-based security. How is ESRM familiar? As a security professional, you may already practice some of the components of ESRM. Many of the concepts – such as risk identification, risk transfer and acceptance, crisis management, and incident response – will be well known to you. How is ESRM new? While many of the principles are familiar, the authors have identified few organizations that apply them in the comprehensive, holistic way that ESRM represents – and even fewer that communicate these principles effectively to key decision-makers. How is ESRM practical? ESRM offers you a straightforward, realistic, actionable approach to deal effectively with all the distinct types of security risks facing you as a security practitioner. ESRM is performed in a life cycle of risk management including: Asset assessment and prioritization. Risk assessment and prioritization. Risk treatment (mitigation). Continuous improvement. Throughout Enterprise Security Risk Management: Concepts and Applications, the authors give you the tools and materials that will help you advance you in the security field, no matter if you are a student, a newcomer, or a seasoned professional. Included are realistic case studies, questions to help you assess your own security program, thought-provoking discussion questions, useful figures and tables, and references for your further reading. By redefining how everyone thinks about the role of security in the enterprise, your security organization can focus on working in partnership with business leaders and other key stakeholders to identify and mitigate security risks. As you begin to use ESRM, following the instructions in this book, you will experience greater personal and professional satisfaction as a security professional – and you’ll become a recognized and trusted partner in the business-critical effort of protecting your enterprise and all its assets. |
| asset and risk management: Physical Asset Management Nicholas Anthony John Hastings, 2009-09-29 Physical asset management is the management of fixed or non-current assets such as equipment and plant. Physical Asset Management presents a systematic approach to the management of these assets from concept to disposal. The general principles of physical asset management are discussed in a manner which makes them accessible to a wide audience, and covers all stages of the asset management process, including: initial business appraisal; identification of fixed asset needs; financial evaluation; logistic support analysis; life cycle costing; maintenance strategy; outsourcing; cost-benefit analysis; disposal; and renewal. Physical Asset Management addresses the needs of existing and potential asset managers, and provides an introduction to asset management for professionals in related disciplines, such as finance. The book provides both an introduction and a convenient reference work, covering all the main areas of physical asset management. |
| asset and risk management: Risk-Based Asset Criticality Assessment (R-B ACA) Handbook Suzane Greeman, 2018-12-10 |
| asset and risk management: Asset Management: Tools And Issues Frank J Fabozzi, Francesco A Fabozzi, Marcos Lopez De Prado, Stoyan V Stoyanov, 2020-12-02 Long gone are the times when investors could make decisions based on intuition. Modern asset management draws on a wide-range of fields beyond financial theory: economics, financial accounting, econometrics/statistics, management science, operations research (optimization and Monte Carlo simulation), and more recently, data science (Big Data, machine learning, and artificial intelligence). The challenge in writing an institutional asset management book is that when tools from these different fields are applied in an investment strategy or an analytical framework for valuing securities, it is assumed that the reader is familiar with the fundamentals of these fields. Attempting to explain strategies and analytical concepts while also providing a primer on the tools from other fields is not the most effective way of describing the asset management process. Moreover, while an increasing number of investment models have been proposed in the asset management literature, there are challenges and issues in implementing these models. This book provides a description of the tools used in asset management as well as a more in-depth explanation of specialized topics and issues covered in the companion book, Fundamentals of Institutional Asset Management. The topics covered include the asset management business and its challenges, the basics of financial accounting, securitization technology, analytical tools (financial econometrics, Monte Carlo simulation, optimization models, and machine learning), alternative risk measures for asset allocation, securities finance, implementing quantitative research, quantitative equity strategies, transaction costs, multifactor models applied to equity and bond portfolio management, and backtesting methodologies. This pedagogic approach exposes the reader to the set of interdisciplinary tools that modern asset managers require in order to extract profits from data and processes. |
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