Decision Making Under Uncertainty in Electricity Markets

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Publisher : Springer Science & Business Media
ISBN 13 : 1441974210
Total Pages : 542 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Decision Making Under Uncertainty in Electricity Markets by : Antonio J. Conejo

Download or read book Decision Making Under Uncertainty in Electricity Markets written by Antonio J. Conejo and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.

Decision Making under Uncertainty in Financial Markets

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Publisher : Linköping University Electronic Press
ISBN 13 : 9176852024
Total Pages : 36 pages
Book Rating : 4.1/5 (768 download)

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Book Synopsis Decision Making under Uncertainty in Financial Markets by : Jonas Ekblom

Download or read book Decision Making under Uncertainty in Financial Markets written by Jonas Ekblom and published by Linköping University Electronic Press. This book was released on 2018-09-13 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis addresses the topic of decision making under uncertainty, with particular focus on financial markets. The aim of this research is to support improved decisions in practice, and related to this, to advance our understanding of financial markets. Stochastic optimization provides the tools to determine optimal decisions in uncertain environments, and the optimality conditions of these models produce insights into how financial markets work. To be more concrete, a great deal of financial theory is based on optimality conditions derived from stochastic optimization models. Therefore, an important part of the development of financial theory is to study stochastic optimization models that step-by-step better capture the essence of reality. This is the motivation behind the focus of this thesis, which is to study methods that in relation to prevailing models that underlie financial theory allow additional real-world complexities to be properly modeled. The overall purpose of this thesis is to develop and evaluate stochastic optimization models that support improved decisions under uncertainty on financial markets. The research into stochastic optimization in financial literature has traditionally focused on problem formulations that allow closed-form or `exact' numerical solutions; typically through the application of dynamic programming or optimal control. The focus in this thesis is on two other optimization methods, namely stochastic programming and approximate dynamic programming, which open up opportunities to study new classes of financial problems. More specifically, these optimization methods allow additional and important aspects of many real-world problems to be captured. This thesis contributes with several insights that are relevant for both financial and stochastic optimization literature. First, we show that the modeling of several real-world aspects traditionally not considered in the literature are important components in a model which supports corporate hedging decisions. Specifically, we document the importance of modeling term premia, a rich asset universe and transaction costs. Secondly, we provide two methodological contributions to the stochastic programming literature by: (i) highlighting the challenges of realizing improved decisions through more stages in stochastic programming models; and (ii) developing an importance sampling method that can be used to produce high solution quality with few scenarios. Finally, we design an approximate dynamic programming model that gives close to optimal solutions to the classic, and thus far unsolved, portfolio choice problem with constant relative risk aversion preferences and transaction costs, given many risky assets and a large number of time periods.

Financial Decision Making Under Uncertainty

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Publisher : Academic Press
ISBN 13 : 1483294994
Total Pages : 314 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Financial Decision Making Under Uncertainty by : ANDERSON ANDERSON WEBSTER

Download or read book Financial Decision Making Under Uncertainty written by ANDERSON ANDERSON WEBSTER and published by Academic Press. This book was released on 2014-06-28 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Dec Making under Uncertainty

Investment under Uncertainty

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Publisher : Princeton University Press
ISBN 13 : 1400830176
Total Pages : 484 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Investment under Uncertainty by : Robert K. Dixit

Download or read book Investment under Uncertainty written by Robert K. Dixit and published by Princeton University Press. This book was released on 2012-07-14 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries? In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made. In so doing, they answer important questions about investment decisions and the behavior of investment spending. This new approach to investment recognizes the option value of waiting for better (but never complete) information. It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment. The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.

Theory of Decision Under Uncertainty

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Publisher : Cambridge University Press
ISBN 13 : 052151732X
Total Pages : 216 pages
Book Rating : 4.5/5 (215 download)

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Book Synopsis Theory of Decision Under Uncertainty by : Itzhak Gilboa

Download or read book Theory of Decision Under Uncertainty written by Itzhak Gilboa and published by Cambridge University Press. This book was released on 2009-03-16 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.

Completing the Forecast

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Publisher : National Academies Press
ISBN 13 : 0309180538
Total Pages : 124 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Completing the Forecast by : National Research Council

Download or read book Completing the Forecast written by National Research Council and published by National Academies Press. This book was released on 2006-10-09 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty is a fundamental characteristic of weather, seasonal climate, and hydrological prediction, and no forecast is complete without a description of its uncertainty. Effective communication of uncertainty helps people better understand the likelihood of a particular event and improves their ability to make decisions based on the forecast. Nonetheless, for decades, users of these forecasts have been conditioned to receive incomplete information about uncertainty. They have become used to single-valued (deterministic) forecasts (e.g., "the high temperature will be 70 degrees Farenheit 9 days from now") and applied their own experience in determining how much confidence to place in the forecast. Most forecast products from the public and private sectors, including those from the National Oceanographic and Atmospheric Administration's National Weather Service, continue this deterministic legacy. Fortunately, the National Weather Service and others in the prediction community have recognized the need to view uncertainty as a fundamental part of forecasts. By partnering with other segments of the community to understand user needs, generate relevant and rich informational products, and utilize effective communication vehicles, the National Weather Service can take a leading role in the transition to widespread, effective incorporation of uncertainty information into predictions. "Completing the Forecast" makes recommendations to the National Weather Service and the broader prediction community on how to make this transition.

Handbook of the Fundamentals of Financial Decision Making

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Publisher : World Scientific
ISBN 13 : 9814417351
Total Pages : 941 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Handbook of the Fundamentals of Financial Decision Making by : Leonard C. MacLean

Download or read book Handbook of the Fundamentals of Financial Decision Making written by Leonard C. MacLean and published by World Scientific. This book was released on 2013 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

The Known, the Unknown, and the Unknowable in Financial Risk Management

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Publisher : Princeton University Press
ISBN 13 : 0691128839
Total Pages : 392 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis The Known, the Unknown, and the Unknowable in Financial Risk Management by : Francis X. Diebold

Download or read book The Known, the Unknown, and the Unknowable in Financial Risk Management written by Francis X. Diebold and published by Princeton University Press. This book was released on 2010-05-09 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Decision Making Under Uncertainty

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Author :
Publisher : Thomson South-Western
ISBN 13 :
Total Pages : 228 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Decision Making Under Uncertainty by : David E. Bell

Download or read book Decision Making Under Uncertainty written by David E. Bell and published by Thomson South-Western. This book was released on 1995 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: These authors draw on nearly 50 years of combined teaching and consulting experience to give readers a straightforward yet systematic approach for making estimates about the likelihood and consequences of future events -- and then using those assessments to arrive at sound decisions. The book's real-world cases, supplemented with expository text and spreadsheets, help readers master such techniques as decision trees and simulation, such concepts as probability, the value of information, and strategic gaming; and such applications as inventory stocking problems, bidding situations, and negotiating.

Risk, Uncertainty and Profit

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Publisher : Cosimo, Inc.
ISBN 13 : 1602060053
Total Pages : 401 pages
Book Rating : 4.6/5 (2 download)

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Book Synopsis Risk, Uncertainty and Profit by : Frank H. Knight

Download or read book Risk, Uncertainty and Profit written by Frank H. Knight and published by Cosimo, Inc.. This book was released on 2006-11-01 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.

An Introduction to Financial Markets

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Publisher : John Wiley & Sons
ISBN 13 : 1118594665
Total Pages : 784 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis An Introduction to Financial Markets by : Paolo Brandimarte

Download or read book An Introduction to Financial Markets written by Paolo Brandimarte and published by John Wiley & Sons. This book was released on 2018-02-22 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This comprehensive yet accessible book introduces students to financial markets and delves into more advanced material at a steady pace while providing motivating examples, poignant remarks, counterexamples, ideological clashes, and intuitive traps throughout. Tempered by real-life cases and actual market structures, An Introduction to Financial Markets: A Quantitative Approach accentuates theory through quantitative modeling whenever and wherever necessary. It focuses on the lessons learned from timely subject matter such as the impact of the recent subprime mortgage storm, the collapse of LTCM, and the harsh criticism on risk management and innovative finance. The book also provides the necessary foundations in stochastic calculus and optimization, alongside financial modeling concepts that are illustrated with relevant and hands-on examples. An Introduction to Financial Markets: A Quantitative Approach starts with a complete overview of the subject matter. It then moves on to sections covering fixed income assets, equity portfolios, derivatives, and advanced optimization models. This book’s balanced and broad view of the state-of-the-art in financial decision-making helps provide readers with all the background and modeling tools needed to make “honest money” and, in the process, to become a sound professional. Stresses that gut feelings are not always sufficient and that “critical thinking” and real world applications are appropriate when dealing with complex social systems involving multiple players with conflicting incentives Features a related website that contains a solution manual for end-of-chapter problems Written in a modular style for tailored classroom use Bridges a gap for business and engineering students who are familiar with the problems involved, but are less familiar with the methodologies needed to make smart decisions An Introduction to Financial Markets: A Quantitative Approach offers a balance between the need to illustrate mathematics in action and the need to understand the real life context. It is an ideal text for a first course in financial markets or investments for business, economic, statistics, engi­neering, decision science, and management science students.

Radical Uncertainty: Decision-Making Beyond the Numbers

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Publisher : W. W. Norton & Company
ISBN 13 : 1324004789
Total Pages : 407 pages
Book Rating : 4.3/5 (24 download)

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Book Synopsis Radical Uncertainty: Decision-Making Beyond the Numbers by : John Kay

Download or read book Radical Uncertainty: Decision-Making Beyond the Numbers written by John Kay and published by W. W. Norton & Company. This book was released on 2020-03-17 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much economic advice is bogus quantification, warn two leading experts in this essential book, now with a preface on COVID-19. Invented numbers offer a false sense of security; we need instead robust narratives that give us the confidence to manage uncertainty. “An elegant and careful guide to thinking about personal and social economics, especially in a time of uncertainty. The timing is impeccable." — Christine Kenneally, New York Times Book Review Some uncertainties are resolvable. The insurance industry’s actuarial tables and the gambler’s roulette wheel both yield to the tools of probability theory. Most situations in life, however, involve a deeper kind of uncertainty, a radical uncertainty for which historical data provide no useful guidance to future outcomes. Radical uncertainty concerns events whose determinants are insufficiently understood for probabilities to be known or forecasting possible. Before President Barack Obama made the fateful decision to send in the Navy Seals, his advisers offered him wildly divergent estimates of the odds that Osama bin Laden would be in the Abbottabad compound. In 2000, no one—not least Steve Jobs—knew what a smartphone was; how could anyone have predicted how many would be sold in 2020? And financial advisers who confidently provide the information required in the standard retirement planning package—what will interest rates, the cost of living, and your state of health be in 2050?—demonstrate only that their advice is worthless. The limits of certainty demonstrate the power of human judgment over artificial intelligence. In most critical decisions there can be no forecasts or probability distributions on which we might sensibly rely. Instead of inventing numbers to fill the gaps in our knowledge, we should adopt business, political, and personal strategies that will be robust to alternative futures and resilient to unpredictable events. Within the security of such a robust and resilient reference narrative, uncertainty can be embraced, because it is the source of creativity, excitement, and profit.

Corporate Decision-Making with Macroeconomic Uncertainty

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Publisher : Oxford University Press
ISBN 13 : 0190450576
Total Pages : 256 pages
Book Rating : 4.1/5 (94 download)

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Book Synopsis Corporate Decision-Making with Macroeconomic Uncertainty by : Lars Oxelheim

Download or read book Corporate Decision-Making with Macroeconomic Uncertainty written by Lars Oxelheim and published by Oxford University Press. This book was released on 2008-09-26 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Macroeconomic turbulence and volatility in financial markets can fatally affect firm's performance. Very few firms make serious attempts to inform market participants and other outsider stakeholders about the impact of macroeconomic fluctuations--manifested as changes in exchange rates, interest rates, inflation rates and stock market returns-- on performance. These stakeholders, as well as financial analysts, must make their own assessments but they generally lack both the required tools and the information to do so. Worse, top management in most firms do not themselves possess the tools to identify whether a change in performance represents a change in the firm's intrinsic competitiveness or a reflection of macroeconomic conditions outside their influence. Corporate Decision-Making with Macroeconomic Uncertainty: Performance and Risk Management develops and presents in an easily comprehensible way the essential elements of a corporate strategy for managing uncertainty in the macroeconomic environment. This Macroeconomic Uncertainty Strategy, or MUST, enhances firm value by allowing management and external stakeholders to become better informed about the development of corporate competitiveness in a turbulent macroeconomic environment. The MUST also provides guidelines for how to develop a successful risk management program. This research based book includes methods to identify the impact of macroeconomic fluctuations on cash flows and value, to develop strategies for macroeconomic risk management, to provide informative reports to external stakeholders, to evaluate the relative performance of subsidiaries and business units in multinational companies, and to evaluate performance for purposes of setting executive compensation and of fulfilling the due diligence requirements in an M & A context. The authors' use of value-based management, various performance measurements, the concept of real options, and risk management from the perspective of shareholder wealth maximization, makes the book rich and compelling. They address researchers and students in the field of international business, finance and corporate governance. On the business side, executives with strategic responsibilities, chief financial officers, and bankers who analyze corporate performance and give advice on risk management will benefit from reading this book.

Managing Uncertainty, Mitigating Risk

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Publisher : Palgrave Macmillan
ISBN 13 : 9781137334534
Total Pages : 0 pages
Book Rating : 4.3/5 (345 download)

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Book Synopsis Managing Uncertainty, Mitigating Risk by : Nick Firoozye

Download or read book Managing Uncertainty, Mitigating Risk written by Nick Firoozye and published by Palgrave Macmillan. This book was released on 2015-11-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Uncertainty, Mitigating Risk proposes that financial risk management broaden its approach, maintaining quantification where possible, but incorporating uncertainty. The author shows that by using broad quantification techniques, and using reason as the guiding principle, practitioners can see a more holistic and complete picture.

Stochastic Dominance

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Publisher : Springer Science & Business Media
ISBN 13 : 0387293116
Total Pages : 439 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Stochastic Dominance by : Haim Levy

Download or read book Stochastic Dominance written by Haim Levy and published by Springer Science & Business Media. This book was released on 2006-08-25 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this process: the stochastic dominance approach; the mean-variance approach; and the non-expected utility approach, focusing on prospect theory and its modified version, cumulative prospect theory. Each approach is discussed and compared. In addition, this volume examines cases in which stochastic dominance rules coincide with the mean-variance rule and considers how contradictions between these two approaches may occur.

Economic and Financial Decisions under Risk

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Publisher : Princeton University Press
ISBN 13 : 1400829216
Total Pages : 245 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Economic and Financial Decisions under Risk by : Louis Eeckhoudt

Download or read book Economic and Financial Decisions under Risk written by Louis Eeckhoudt and published by Princeton University Press. This book was released on 2011-10-30 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: An understanding of risk and how to deal with it is an essential part of modern economics. Whether liability litigation for pharmaceutical firms or an individual's having insufficient wealth to retire, risk is something that can be recognized, quantified, analyzed, treated--and incorporated into our decision-making processes. This book represents a concise summary of basic multiperiod decision-making under risk. Its detailed coverage of a broad range of topics is ideally suited for use in advanced undergraduate and introductory graduate courses either as a self-contained text, or the introductory chapters combined with a selection of later chapters can represent core reading in courses on macroeconomics, insurance, portfolio choice, or asset pricing. The authors start with the fundamentals of risk measurement and risk aversion. They then apply these concepts to insurance decisions and portfolio choice in a one-period model. After examining these decisions in their one-period setting, they devote most of the book to a multiperiod context, which adds the long-term perspective most risk management analyses require. Each chapter concludes with a discussion of the relevant literature and a set of problems. The book presents a thoroughly accessible introduction to risk, bridging the gap between the traditionally separate economics and finance literatures.

Decision Making Under Uncertainty

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Publisher : MIT Press
ISBN 13 : 0262331713
Total Pages : 350 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Decision Making Under Uncertainty by : Mykel J. Kochenderfer

Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.