Books in Decision sciences

Our Decision Sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice

Books Journals

Handbook of Econometrics

1st Edition
Volume 6B
December 14, 2007
James J. Heckman + 1 more
English
Hardback
9 7 8 0 4 4 4 5 3 2 0 0 8
eBook
9 7 8 0 0 8 0 5 5 6 5 5 0

As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics. It is a tool for empirical discovery and policy analysis. The chapters in this volume embody this vision and either implement it directly or provide the tools for doing so. This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice behavior and social interactions. All of the essays in this volume and its companion volume 6A offer guidance to the practitioner on how to apply the methods they discuss to interpret economic data. The authors of the chapters are all leading scholars in the fields they survey and extend.Handbook of Econometrics is now available online at ScienceDirect — full-text online from volume 1 onwards.

Handbook of Econometrics

1st Edition
Volume 6A
December 13, 2007
James J. Heckman + 1 more
English
Hardback
9 7 8 0 4 4 4 5 0 6 3 1 3
eBook
9 7 8 0 0 8 0 5 5 6 2 8 4

As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics. It is a tool for empirical discovery and policy analysis. The chapters in this volume embody this vision and either implement it directly or provide the tools for doing so. This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice behavior and social interactions. All of the essays in this volume and its companion volume 6B offer guidance to the practitioner on how to apply the methods they discuss to interpret economic data. The authors of the chapters are all leading scholars in the fields they survey and extend.

Handbooks in Operations Research and Management Science: Financial Engineering

1st Edition
Volume 15
October 18, 2007
John R. Birge + 1 more
English
Hardback
9 7 8 0 4 4 4 5 1 7 8 1 4
eBook
9 7 8 0 0 8 0 5 5 3 2 5 2

The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stochastic models describing dynamics of financial risk variables, such as asset prices, foreign exchange rates, and interest rates, and to develop analytical, computational and statistical methods and tools to implement the models and employ them to design and evaluate financial products and processes to manage risk and to meet financial goals. This handbook describes the latest developments in this rapidly evolving field in the areas of modeling and pricing financial derivatives, building models of interest rates and credit risk, pricing and hedging in incomplete markets, risk management, and portfolio optimization. Leading researchers in each of these areas provide their perspective on the state of the art in terms of analysis, computation, and practical relevance. The authors describe essential results to date, fundamental methods and tools, as well as new views of the existing literature, opportunities, and challenges for future research.

Forecasting Expected Returns in the Financial Markets

1st Edition
July 16, 2007
Stephen Satchell
English
eBook
9 7 8 0 0 8 0 5 5 0 6 7 1

Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.

Handbook of Agricultural Economics

1st Edition
Volume 3
May 8, 2007
Robert E. Evenson + 1 more
English
Hardback
9 7 8 0 4 4 4 5 1 8 7 3 6
eBook
9 7 8 0 0 8 0 5 4 5 2 7 1

Volume 3 of this series of the Handbooks in Economics follows on from the previous two volumes by focusing on the fundamental concepts of agricultural economics. The first part of the volume examines the developments in human resources and technology mastery. The second part follows on by considering the processes and impact of invention and innovation in this field. The effects of market forces are examined in the third part, and the volume concludes by analysing the economics of our changing natural resources, including the past effects of climate change.Overall this volume forms a comprehensive and accessible survey of the field of agricultural economics and is recommended reading for anyone with an interest, either academic or professional, in this area.

Forecasting Volatility in the Financial Markets

3rd Edition
February 19, 2007
Stephen Satchell + 1 more
English
eBook
9 7 8 0 0 8 0 4 7 1 4 2 6

Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey

Operations Risk

1st Edition
December 15, 2006
David Loader
English
eBook
9 7 8 0 0 8 0 4 6 9 4 8 5

Operations Risk--a form of Operational Risk, is becoming increasingly important as more and more sophisticated products and the use of those products occurs in the financial services industry. Outsourcing, including overseas outsourcing, is changing the structure of firms and particularly operations teams. Thus understanding the existing and the changing risk environment in operations functions and its impact on operational risk is centrally important today. The book focuses on areas such as technology risk, people risk, and settlement risk, examining the dangers that lurk within different organisations. Case studies throughout the book illustrate the way in which risk can become magnified and ultimately become a serious danger to the businesses concerned. The reader is challenged throughout the book to interpret given situations in Operations Risk so as to understand the impact of the risks and devise solutions through a series of exercises included in the relevant chapters. (answers are provided). This “self-test” approach will help reinforce understanding of the detailed material contained throughout the book.

Security Operations Management

2nd Edition
December 4, 2006
Robert McCrie
English
eBook
9 7 8 0 0 8 0 4 6 9 4 9 2

The second edition of Security Operations Management continues as the seminal reference on corporate security management operations. Revised and updated, topics covered in depth include: access control, selling the security budget upgrades to senior management, the evolution of security standards since 9/11, designing buildings to be safer from terrorism, improving relations between the public and private sectors, enhancing security measures during acute emergencies, and, finally, the increased security issues surrounding the threats of terrorism and cybercrime. An ideal reference for the professional, as well as a valuable teaching tool for the security student, the book includes discussion questions and a glossary of common security terms. Additionally, a brand new appendix contains contact information for academic, trade, and professional security organizations.

Handbooks in Operations Research and Management Science: Simulation

1st Edition
Volume 13
September 2, 2006
Shane G. Henderson + 1 more
English
eBook
9 7 8 0 0 8 0 4 6 4 7 6 3

This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by experts in each area. For the purpose of this volume “simulation” refers to the analysis of stochastic processes through the generation of sample paths (realization) of the processes. Attention focuses on design and analysis issues and the goal of this volume is to survey the concepts, principles, tools and techniques that underlie the theory and practice of stochastic simulation design and analysis. Emphasis is placed on the ideas and methods that are likely to remain an intrinsic part of the foundation of the field for the foreseeable future. The chapters provide up-to-date references for both the simulation researcher and the advanced simulation user, but they do not constitute an introductory level ‘how to’ guide. Computer scientists, financial analysts, industrial engineers, management scientists, operations researchers and many other professionals use stochastic simulation to design, understand and improve communications, financial, manufacturing, logistics, and service systems. A theme that runs throughout these diverse applications is the need to evaluate system performance in the face of uncertainty, including uncertainty in user load, interest rates, demand for product, availability of goods, cost of transportation and equipment failures.

Info-Gap Decision Theory

2nd Edition
August 7, 2006
Yakov Ben-Haim
English
Hardback
9 7 8 0 1 2 3 7 3 5 5 2 2
eBook
9 7 8 0 0 8 0 4 6 5 7 0 8

Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. Info-Gap Decision Theory is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models.

Related subjects

Decision sciences and computers

Decision sciences applications

Operations research management science methods

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Books in Decision sciences

Handbook of Econometrics

Handbook of Econometrics

Handbooks in Operations Research and Management Science: Financial Engineering

Forecasting Expected Returns in the Financial Markets

Handbook of Agricultural Economics

Forecasting Volatility in the Financial Markets

Operations Risk

Security Operations Management

Handbooks in Operations Research and Management Science: Simulation

Info-Gap Decision Theory

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