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Hedging and Pricing in Imperfect Markets Under Non-Convexity

Hedging and Pricing in Imperfect Markets Under Non-Convexity PDF Author: Hirbod Assa
Publisher:
ISBN:
Category :
Languages : en
Pages : 33

Book Description
This paper proposes a robust approach to hedging and pricing in the presence of market imperfections such as market incompleteness and frictions. The generality of this framework allows us to conduct an in-depth theoretical analysis of hedging strategies for a wide family of risk measures and pricing rules, which are possibly non-convex. The practical implications of our proposed theoretical approach are illustrated with an application on hedging economic risk.

Hedging and Pricing in Imperfect Markets Under Non-Convexity

Hedging and Pricing in Imperfect Markets Under Non-Convexity PDF Author: Hirbod Assa
Publisher:
ISBN:
Category :
Languages : en
Pages : 33

Book Description
This paper proposes a robust approach to hedging and pricing in the presence of market imperfections such as market incompleteness and frictions. The generality of this framework allows us to conduct an in-depth theoretical analysis of hedging strategies for a wide family of risk measures and pricing rules, which are possibly non-convex. The practical implications of our proposed theoretical approach are illustrated with an application on hedging economic risk.

Hedging and Pricing with L2 Convex Risk Measures in Incomplete Markets

Hedging and Pricing with L2 Convex Risk Measures in Incomplete Markets PDF Author: Antoine Toussaint
Publisher:
ISBN: 9780549230038
Category :
Languages : en
Pages : 222

Book Description
This framework is more suitable for optimal hedging with L 2 valued financial markets. A dual representation is given for this minimum risk when the risk measure is real-valued and we give an example of computation in a stochastic volatility model with the shortfall risk. In the general case when the risk may become infinite, we introduce constrained hedging and prove that the minimum risk is still an L2 convex risk measure and the existence of an optimal hedge.

Fixed Income Markets

Fixed Income Markets PDF Author: Moorad Choudhry
Publisher: John Wiley & Sons
ISBN: 1118179587
Category : Business & Economics
Languages : en
Pages : 716

Book Description
This book is a comprehensive and in-depth account of the global debt capital markets. It covers a wide range of instruments and their applications, including derivative instruments. Highlights of the book include: Detailed description of the main products in use in the fixed income markets today, including analysis and valuation Summary of market conventions and trading practices Extensive coverage of associated derivatives including futures, swaps, options and credit derivatives Writing style aimed at a worldwide target audience An overview of trading and investment strategy. The contents will be invaluable reading for anyone with an interest in debt capital markets, especially investors, traders, bond salespersons, risk managers and banking consultants.

Economic Areas Under Financial Stability

Economic Areas Under Financial Stability PDF Author: Indranarain Ramlall
Publisher: Emerald Group Publishing
ISBN: 1787568415
Category : Business & Economics
Languages : en
Pages : 148

Book Description
Economic Areas Under Financial Stability examines several core areas which interact directly with financial stability. A comprehensive consideration is given of local and international developments, the payment and settlements system, reserves, derivatives and exchange rates.

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

Handbook Of The Fundamentals Of Financial Decision Making (In 2 Parts) PDF Author: Leonard C Maclean
Publisher: World Scientific
ISBN: 981441736X
Category : Business & Economics
Languages : en
Pages : 941

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).

Numerical Methods in Finance

Numerical Methods in Finance PDF Author: L. C. G. Rogers
Publisher: Cambridge University Press
ISBN: 9780521573542
Category : Business & Economics
Languages : en
Pages : 348

Book Description
Numerical Methods in Finance describes a wide variety of numerical methods used in financial analysis.

Optimal Financial Decision Making under Uncertainty

Optimal Financial Decision Making under Uncertainty PDF Author: Giorgio Consigli
Publisher: Springer
ISBN: 3319416138
Category : Business & Economics
Languages : en
Pages : 310

Book Description
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 applications The 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.

Financial Mathematics

Financial Mathematics PDF Author: Bruno Biais
Publisher: Springer
ISBN: 3540683569
Category : Mathematics
Languages : en
Pages : 322

Book Description
Financial Mathematics is an exciting, emerging field of application. The five sets of course notes in this book provide a bird's eye view of the current "state of the art" and directions of research. For graduate students it will therefore serve as an introduction to the field while reseachers will find it a compact source of reference. The reader is expected to have a good knowledge of the basic mathematical tools corresponding to an introductory graduate level and sufficient familiarity with probabilistic methods, in particular stochastic analysis.

Numerical Methods in Finance and Economics

Numerical Methods in Finance and Economics PDF Author: Paolo Brandimarte
Publisher: John Wiley & Sons
ISBN: 1118625579
Category : Mathematics
Languages : en
Pages : 501

Book Description
A state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB?--the powerful numerical computing environment--for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions. Among this book's most outstanding features is the integration of MATLAB?, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing. This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms. Newly featured in the Second Edition: * In-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies * New appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12 * New chapter on binomial and trinomial lattices * Additional treatment of partial differential equations with two space dimensions * Expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance * New coverage of advanced optimization methods and applications later in the text Numerical Methods in Finance and Economics: A MATLAB?-Based Introduction, Second Edition presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library. Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.

Assets, Beliefs, and Equilibria in Economic Dynamics

Assets, Beliefs, and Equilibria in Economic Dynamics PDF Author: Charalambos D. Aliprantis
Publisher: Springer Science & Business Media
ISBN: 9783540009115
Category : Business & Economics
Languages : en
Pages : 756

Book Description
A collection of papers dealing with a broad range of topics in mathematical economics, game theory and economic dynamics. The contributions present both theoretical and applied research. The volume is dedicated to Mordecai Kurz. The papers were presented in a special symposium co-hosted by the Stanford University Department of Economics and by the Stanford Institute of Economic Policy Research in August 2002.