Derivatives for Decision Makers


Book Description

"A brilliantly conceived and lucidly written exposition of the most important topic on the frontier of modern finance. This book takes the mystery out of derivatives. Bravo!"—John H. Langbein, Professor, Yale Law School "Derivatives for Decision Makers is a first in explaining derivatives to those who need to understand them. It explains what derivatives are, how they can be used as risk management tools, and what managers and decision makers need to know about the subject. Not only is the technical substance superb, but the form is accessible to all decision makers."—Afsaneh Mashayekhi Beschloss, Director, The World Bank Group "Derivatives for Decision Makers is an excellent resource for both users and providers of derivative products, regardless of the reader's level of sophistication. The recent highly publicized derivatives problems are objectively reviewed by the authors who contribute important and sensible recommendations to avoid similar situations in the future."—Dipak K. Rastogi, Executive Vice President and former Head of Global Derivatives, Citibank, N. A. "Derivatives can play a critical role in achieving corporate financing and investment strategies. Whether you are a novice or a seasoned practitioner, Crawford and Sen present a superb roadmap with well-chosen, real-world illustrations. Their vivid insights make this book a 'must-read' for corporate and pension fund managers."—Sandra S. Wijnberg, Vice President & Assistant Treasurer, PepsiCo, Inc. "Crawford and Sen have done a fine job of making derivatives comprehensible for managers who need to understand the basic features and uses of these instruments. This coverage, together with the book's unique emphasis on senior management's fiduciary obligations to the firm's shareholders, sets this book apart from other attempts to make derivatives accessible to senior management. This book is an important read."—John F. Marshall, Executive Director, International Association of Financial Engineers and Professor of Financial Engineering, Polytechnic University Derivatives are the power tools that enable users to analyze components of risk and return inherent in an investment or a business. The popularity of derivative use in the marketplace has surged in recent years, spurring financial innovation and better risk management. Yet this popular instrument is double-edged: derivatives are as risky as they are beneficial. In light of recent, highly publicized disasters—the Orange County bankruptcy and the Barings fiasco—it is imperative that business and finance professionals have a current and basic knowledge of this complicated and venturesome field. If you are a shareholder, director, or other decision maker in a company utilizing derivatives, it is important that you know how to maximize the benefits of derivatives and minimize the damage that they can cause. Now, two leading financial experts provide the solid principles you need to understand and properly use derivative products and structured financing. Starting upwards from the ground floor, this straightforward, no-nonsense resource is replete with tables, graphs, and common examples and common sense, offering invaluable information on: The three major types of derivatives-options, futures, and swaps Leverage—what it is, why it is so important, how it is used to increase returns, and how it multiplies risk Hedging a stock portfolio and hedging industry risk with synthetic futures Business risks—core and secondary risks; which business risks to hedge with derivatives Investment strategies using derivatives Derivative risks—market, credit, legal, and systemic Fiduciary duties—the duties of loyalty and care, exceptions, the prudent investor rule, business judgment, rule and disclosure requirements Delegating management functions—selecting, instructing, and monitoring experts Whether you're a manager, director, attorney, accountant, corporate executive, or corporate shareholder, this comprehensive book will prove to be an invaluable guide on utilizing and handling derivatives wisely, resourcefully, and successfully.




Derivatives Risk and Responsibility


Book Description

Designed to show companies how to use derivatives safely and effectively, thisguide breaks through the mystifying jargon of derivatives and provides straightforward answers to companies grappling with derivatives risk. Covers a host of relevant topics, from regulartory compliance to accounting for derivatives to back office operations.




Handbook of the Fundamentals of Financial Decision Making


Book Description

This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006).







Handbook Of The Fundamentals Of Financial Decision Making (In 2 Parts)


Book Description

This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2nd edition published in 2006).




Theory of Financial Decision Making


Book Description

Based on courses developed by the author over several years, this book provides access to a broad area of research that is not available in separate articles or books of readings. Topics covered include the meaning and measurement of risk, general single-period portfolio problems, mean-variance analysis and the Capital Asset Pricing Model, the Arbitrage Pricing Theory, complete markets, multiperiod portfolio problems and the Intertemporal Capital Asset Pricing Model, the Black-Scholes option pricing model and contingent claims analysis, 'risk-neutral' pricing with Martingales, Modigliani-Miller and the capital structure of the firm, interest rates and the term structure, and others.




Medical Decision Making


Book Description

This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility theory. The authors show how the parameters of Bayes’ theorem can be combined with a value function of health states in order to arrive at informed test and treatment decisions in the face of diagnostic and therapeutic risks. Distinguishing between risk-neutral, risk-averse, and prudent decision-makers, they demonstrate the effects of risk preferences on medical decisions. Furthermore, they analyze individual and multiple tests as well as diagnostic models in which the decision-maker chooses the test outcome. The consequences of test and treatment decisions for the patient are encompassed by quality-adjusted life years (QALYs) and the standard economic model, which applies the willingness to pay for health approach. Lastly, non-expected utility models of choice under risk and uncertainty are presented. Although these models can explain some of the test and treatment decisions observed, they are less suitable for normative analyses aimed at providing guidance on medical decision-making. This third edition provides extensively revised versions of all chapters and reflects recent innovations in medical decision-making such as decision curve analysis. New chapters focus on the health economics of and revealed preferences in medical decisions. The book is intended for students of (health) economics and medicine as well as for medical decision-makers and physicians dealing with uncertainty in their test and treatment decisions.




Decision Making in Natural Resource Management


Book Description

This book is intended for use by natural resource managers and scientists, and students in the fields of natural resource management, ecology, and conservation biology, who are confronted with complex and difficult decision making problems. The book takes readers through the process of developing a structured approach to decision making, by firstly deconstructing decisions into component parts, which are each fully analyzed and then reassembled to form a working decision model. The book integrates common-sense ideas about problem definitions, such as the need for decisions to be driven by explicit objectives, with sophisticated approaches for modeling decision influence and incorporating feedback from monitoring programs into decision making via adaptive management. Numerous worked examples are provided for illustration, along with detailed case studies illustrating the authors’ experience in applying structured approaches. There is also a series of detailed technical appendices. An accompanying website provides computer code and data used in the worked examples. Additional resources for this book can be found at: www.wiley.com/go/conroy/naturalresourcemanagement.




Managerial Economics (Analysis of Managerial Decision Making), 9th Edition


Book Description

Widely acknowledged, this popular and detailed text is a comprehensive treatise on Managerial Economics – both micro and macro-economic aspects. This text ensures a thorough understanding of core concepts before advancing to provide an expanded treatment of topics. It explains the economic environment and the impact on managerial decisions regarding price & output determination in different market structures followed by an account of the behaviour of individuals under conditions of uncertainty.




Lecture Notes in Computational Intelligence and Decision Making


Book Description

This book includes 46 scientific papers presented at the conference and reflecting the latest research in the fields of data mining, machine learning and decision-making. The international scientific conference “Intellectual Systems of Decision-Making and Problems of Computational Intelligence” was held in the Kherson region, Ukraine, from May 25 to 29, 2020. The papers are divided into three sections: “Analysis and Modeling of Complex Systems and Processes,” “Theoretical and Applied Aspects of Decision-Making Systems” and “Computational Intelligence and Inductive Modeling.” The book will be of interest to scientists and developers specialized in the fields of data mining, machine learning and decision-making systems.