Optimal Financial Decision Making Under Uncertainty, Consigli Giorgio, Kuhn Daniel, Brandimarte Paolo
Автор: Mohammed Abdellaoui; John D. Hey Название: Advances in Decision Making Under Risk and Uncertainty ISBN: 3642088007 ISBN-13(EAN): 9783642088001 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Uncertainty and Information Modeling.- Revealed Ambiguity and Its Consequences: Updating.- Dynamic Decision Making When Risk Perception Depends on Past Experience.- Representation of Conditional Preferences Under Uncertainty.- Subjective Information in Decision Making and Communication.- Risk Modeling.- Sensitivity Analysis in Decision Making: A Consistent Approach.- Alternation Bias and the Parameterization of Cumulative Prospect Theory.- Proposing a Normative Basis for the S-Shaped Value Function.- Experimental Individual Decision Making.- Individual Choice from a Convex Lottery Set: Experimental Evidence.- Temptations and Dynamic Consistency.- Monty Hall's Three Doors for Dummies.- Overconfidence in Predictions as an Effect of Desirability Bias.- Experimental Interactive Decision Making.- Granny Versus Game Theorist: Ambiguity in Experimental Games.- Guessing Games and People Behaviours: What Can We Learn?.- The Determinants of Individual Behaviour in Network Formation: Some Experimental Evidence.
Автор: Antonio J. Conejo; Miguel Carri?n; Juan M. Morales Название: Decision Making Under Uncertainty in Electricity Markets ISBN: 1461426782 ISBN-13(EAN): 9781461426783 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book 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.
Автор: Claude Greengard; Andrzej Ruszczynski Название: Decision Making Under Uncertainty ISBN: 1441930140 ISBN-13(EAN): 9781441930149 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete.
Автор: J. Geweke Название: Decision Making Under Risk and Uncertainty ISBN: 9401052611 ISBN-13(EAN): 9789401052610 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As desired, the infonnation demand correspondence is single valued at equilibrium prices. P (F *), almost every a E A demands a unique combined infonnation structure (although traders may be indifferent among partial infonnation sales from different information allocations, etc.
Автор: Jerzy A. Filar; Alain Haurie Название: Uncertainty and Environmental Decision Making ISBN: 1461425255 ISBN-13(EAN): 9781461425250 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This important new work presents the state-of-the-art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. The subject matter is of critical importance.
Автор: Jerzy A. Filar; Alain Haurie Название: Uncertainty and Environmental Decision Making ISBN: 1441911286 ISBN-13(EAN): 9781441911285 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This important new work presents the state-of-the-art in applying operations research and management science (OR/MS) techniques to a broad range of environmental decision making (EDM) challenges. The subject matter is of critical importance.
Автор: Klein Haneveld Willem K., Van Der Vlerk Maarten H., Romeijnders Ward Название: Stochastic Programming: Modeling Decision Problems Under Uncertainty ISBN: 3030292215 ISBN-13(EAN): 9783030292218 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models.
Автор: Hagemann, Gregor Название: Financial reporting quality in emerging economies ISBN: 3631715439 ISBN-13(EAN): 9783631715437 Издательство: Peter Lang Рейтинг: Цена: 14250.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Contrary to their increasingly important role in the global economy, little is known so far about the financial reporting practices in emerging economies. This study therefore analyses the financial reporting practices of listed firms in Brazil and South Africa. It also investigates the determinants of financial reporting quality and its effect on information asymmetries. In addition, the author compares the results for the two emerging economies to those for Germany representing a developed economy. The empirical findings have several implications for researchers and lecturers as well as for practitioners, such as preparers and users of financial reports, legislators, standard setters and auditors.
Описание: The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process.
Автор: Consigli Название: Optimal Financial Decision Making under Uncertainty ISBN: 3319416111 ISBN-13(EAN): 9783319416113 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management.The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows:
Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas.Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applicationsThe inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods.Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems.Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.
This book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events.Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with “granules” that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities.This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making —so that they can better utilize our ability to make decisions under uncertainty.
Автор: Vincent A. W. J. Marchau; Warren E. Walker; Pieter Название: Decision Making under Deep Uncertainty ISBN: 3030052516 ISBN-13(EAN): 9783030052515 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them.
Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work.
The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
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