The Statistical Measurement of Financial Derivatives PDF Download
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Author: Mr.Robert M. Heath
Publisher: International Monetary Fund
ISBN: 1451844115
Category : Business & Economics
Languages : en
Pages : 68
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Book Description
The System of National Accounts 1993 (1993 SNA) provided new standards for the statistical treatment of financial derivatives. Subsequently, financial derivative markets have evolved, and there have been requests from national statisticians for clarification and amplification of the recommendations in the 1993 SNA and the fifth edition of the IMF’s Balance of Payments Manual (BPM5). Meeting this need is the main purpose of this working paper. Its recommendations have been widely discussed in international meetings and have been approved by bodies that effect changes in the 1993 SNA and BPM5.
Author: Mr.Robert M. Heath
Publisher: International Monetary Fund
ISBN: 1451844115
Category : Business & Economics
Languages : en
Pages : 68
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Book Description
The System of National Accounts 1993 (1993 SNA) provided new standards for the statistical treatment of financial derivatives. Subsequently, financial derivative markets have evolved, and there have been requests from national statisticians for clarification and amplification of the recommendations in the 1993 SNA and the fifth edition of the IMF’s Balance of Payments Manual (BPM5). Meeting this need is the main purpose of this working paper. Its recommendations have been widely discussed in international meetings and have been approved by bodies that effect changes in the 1993 SNA and BPM5.
Author: Erik Lindström
Publisher: CRC Press
ISBN: 1315362554
Category : Business & Economics
Languages : en
Pages : 384
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Book Description
Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques, including linear and nonlinear time series analysis, stochastic calculus models, stochastic differential equations, Itō’s formula, the Black–Scholes model, the generalized method-of-moments, and the Kalman filter. They explain how these tools are used to price financial derivatives, identify interest rate models, value bonds, estimate parameters, and much more. This textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition, end-of-chapter exercises develop students’ financial reasoning skills.
Author: Erik Lindström
Publisher: CRC Press
ISBN: 1498785891
Category : Business & Economics
Languages : en
Pages : 303
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Book Description
Statistics for Finance develops students’ professional skills in statistics with applications in finance. Developed from the authors’ courses at the Technical University of Denmark and Lund University, the text bridges the gap between classical, rigorous treatments of financial mathematics that rarely connect concepts to data and books on econometrics and time series analysis that do not cover specific problems related to option valuation. The book discusses applications of financial derivatives pertaining to risk assessment and elimination. The authors cover various statistical and mathematical techniques, including linear and nonlinear time series analysis, stochastic calculus models, stochastic differential equations, Itō’s formula, the Black–Scholes model, the generalized method-of-moments, and the Kalman filter. They explain how these tools are used to price financial derivatives, identify interest rate models, value bonds, estimate parameters, and much more. This textbook will help students understand and manage empirical research in financial engineering. It includes examples of how the statistical tools can be used to improve value-at-risk calculations and other issues. In addition, end-of-chapter exercises develop students’ financial reasoning skills.
Author: Philip Hunt
Publisher: John Wiley and Sons
ISBN: 9780470863589
Category : Mathematics
Languages : en
Pages : 476
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Book Description
The term Financial Derivative is a very broad term which has come to mean any financial transaction whose value depends on the underlying value of the asset concerned. Sophisticated statistical modelling of derivatives enables practitioners in the banking industry to reduce financial risk and ultimately increase profits made from these transactions. The book originally published in March 2000 to widespread acclaim. This revised edition has been updated with minor corrections and new references, and now includes a chapter of exercises and solutions, enabling use as a course text. Comprehensive introduction to the theory and practice of financial derivatives. Discusses and elaborates on the theory of interest rate derivatives, an area of increasing interest. Divided into two self-contained parts ? the first concentrating on the theory of stochastic calculus, and the second describes in detail the pricing of a number of different derivatives in practice. Written by well respected academics with experience in the banking industry. A valuable text for practitioners in research departments of all banking and finance sectors. Academic researchers and graduate students working in mathematical finance.
Author: Michael Mastro, PhD
Publisher: John Wiley & Sons
ISBN: 1118501810
Category : Mathematics
Languages : en
Pages : 534
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Book Description
A road map for implementing quantitative financial models Financial Derivative and Energy Market Valuation brings the application of financial models to a higher level by helping readers capture the true behavior of energy markets and related financial derivatives. The book provides readers with a range of statistical and quantitative techniques and demonstrates how to implement the presented concepts and methods in Matlab®. Featuring an unparalleled level of detail, this unique work provides the underlying theory and various advanced topics without requiring a prior high-level understanding of mathematics or finance. In addition to a self-contained treatment of applied topics such as modern Fourier-based analysis and affine transforms, Financial Derivative and Energy Market Valuation also: • Provides the derivation, numerical implementation, and documentation of the corresponding Matlab for each topic • Extends seminal works developed over the last four decades to derive and utilize present-day financial models • Shows how to use applied methods such as fast Fourier transforms to generate statistical distributions for option pricing • Includes all Matlab code for readers wishing to replicate the figures found throughout the book Thorough, practical, and easy to use, Financial Derivative and Energy Market Valuation is a first-rate guide for readers who want to learn how to use advanced numerical methods to implement and apply state-of-the-art financial models. The book is also ideal for graduate-level courses in quantitative finance, mathematical finance, and financial engineering.
Author: Jean-Philippe Bouchaud
Publisher:
ISBN:
Category : Finance
Languages : en
Pages :
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Book Description
Annotation. Summarizing market data developments, some inspired by statistical physics, this book explains how to better predict the actual behavior of financial markets with respect to asset allocation, derivative pricing and hedging, and risk control. Risk control and derivative pricing are major concerns to financial institutions. The need for adequate statistical tools to measure and anticipate amplitude of potential moves of financial markets is clearly expressed, in particular for derivative markets. Classical theories, however, are based on assumptions leading to systematic (sometimes dramatic) underestimation of risks.
Author: Jean-Philippe Bouchaud
Publisher: Cambridge University Press
ISBN: 1139440276
Category : Business & Economics
Languages : en
Pages : 410
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Book Description
Risk control and derivative pricing have become of major concern to financial institutions, and there is a real need for adequate statistical tools to measure and anticipate the amplitude of the potential moves of the financial markets. Summarising theoretical developments in the field, this 2003 second edition has been substantially expanded. Additional chapters now cover stochastic processes, Monte-Carlo methods, Black-Scholes theory, the theory of the yield curve, and Minority Game. There are discussions on aspects of data analysis, financial products, non-linear correlations, and herding, feedback and agent based models. This book has become a classic reference for graduate students and researchers working in econophysics and mathematical finance, and for quantitative analysts working on risk management, derivative pricing and quantitative trading strategies.
Author: Greg Anderson
Publisher: Morgan & Claypool Publishers
ISBN: 1608454967
Category : Technology & Engineering
Languages : en
Pages : 63
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Book Description
This is a short book on the fundamental concepts of the no-arbitrage theory of pricing financial derivatives. Its scope is limited to the general discrete setting of models for which the set of possible states is finite and so is the set of possible trading times--this includes the popular binomial tree model. This setting has the advantage of being fairly general while not requiring a sophisticated understanding of analysis at the graduate level. Topics include understanding the several variants of "arbitrage", the fundamental theorems of asset pricing in terms of martingale measures, and applications to forwards and futures. The authors' motivation is to present the material in a way that clarifies as much as possible why the often confusing basic facts are true. Therefore the ideas are organized from a mathematical point of view with the emphasis on understanding exactly what is under the hood and how it works. Every effort is made to include complete explanations and proofs, and the reader is encouraged to work through the exercises throughout the book. The intended audience is students and other readers who have an undergraduate background in mathematics, including exposure to linear algebra, some advanced calculus, and basic probability. The book has been used in earlier forms with students in the MS program in Financial Mathematics at Florida State University, and is a suitable text for students at that level. Students who seek a second look at these topics may also find this book useful. Table of Contents: Overture: Single-Period Models / The General Discrete Model / The Fundamental Theorems of Asset Pricing / Forwards and Futures / Incomplete Markets
Author: Yue-Kuen Kwok
Publisher: Springer Science & Business Media
ISBN: 3540686886
Category : Mathematics
Languages : en
Pages : 541
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Book Description
This second edition, now featuring new material, focuses on the valuation principles that are common to most derivative securities. A wide range of financial derivatives commonly traded in the equity and fixed income markets are analysed, emphasising aspects of pricing, hedging and practical usage. This second edition features additional emphasis on the discussion of Ito calculus and Girsanovs Theorem, and the risk-neutral measure and equivalent martingale pricing approach. A new chapter on credit risk models and pricing of credit derivatives has been added. Up-to-date research results are provided by many useful exercises.
Author: John Martin
Publisher: Wiley
ISBN: 9780471479024
Category : Business & Economics
Languages : en
Pages : 480
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Book Description
A handy guide/reference for investors, analysts, and students, Mathematics for Derivatives provides an integrated approach to the valuation of financial derivative instruments for a wide range of asset classes. Featuring a user-friendly format, it was designed to be used as both a step-by-step guide to derivative pricing for beginners, and a handy quick-reference for experienced market practitioners in need of a refresher on the intricacies of a specific instrument. Offering comprehensive coverage of derivative instruments, simple valuation methods, and many detailed examples, this book is sure to be warmly received by professional investors, fund managers, brokers, risk managers, analysts, financial software developers, and all who need a working knowledge of the mathematical techniques used in the derivatives industry. John Martin (Australia) has worked, taught and published extensively in the areas of treasury, derivatives and financial risk management. He was closely involved in the development of the derivatives industry in Australia in roles varying from market trader, risk manager, regulator and educator. He is a Partner at PricewaterhouseCoopers in Australia.
