Mathematics for Finance

Author: Marek Capinski
Publisher: Springer
ISBN: 1852338466
Format: PDF, Mobi
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This textbook contains the fundamentals for an undergraduate course in mathematical finance aimed primarily at students of mathematics. Assuming only a basic knowledge of probability and calculus, the material is presented in a mathematically rigorous and complete way. The book covers the time value of money, including the time structure of interest rates, bonds and stock valuation; derivative securities (futures, options), modelling in discrete time, pricing and hedging, and many other core topics. With numerous examples, problems and exercises, this book is ideally suited for independent study.

An Introduction to the Mathematics of Finance

Author: Stephen Garrett
Publisher: Butterworth-Heinemann
ISBN: 0080982751
Format: PDF, Docs
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An Introduction to the Mathematics of Finance: A Deterministic Approach, 2e, offers a highly illustrated introduction to mathematical finance, with a special emphasis on interest rates. This revision of the McCutcheon-Scott classic follows the core subjects covered by the first professional exam required of UK actuaries, the CT1 exam. It realigns the table of contents with the CT1 exam and includes sample questions from past exams of both The Actuarial Profession and the CFA Institute. With a wealth of solved problems and interesting applications, An Introduction to the Mathematics of Finance stands alone in its ability to address the needs of its primary target audience, the actuarial student. Closely follows the syllabus for the CT1 exam of The Institute and Faculty of Actuaries Features new content and more examples Online supplements available: http://booksite.elsevier.com/9780080982403/ Includes past exam questions from The Institute and Faculty of Actuaries and the CFA Institute

Introduction to the Mathematics of Finance

Author: Steven Roman
Publisher: Springer Science & Business Media
ISBN: 1441990054
Format: PDF, Docs
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An elementary introduction to probability and mathematical finance including a chapter on the Capital Asset Pricing Model (CAPM), a topic that is very popular among practitioners and economists. Dr. Roman has authored 32 books, including a number of books on mathematics, such as Coding and Information Theory, Advanced Linear Algebra, and Field Theory, published by Springer-Verlag.

Mathematical Finance

Author: Christian Fries
Publisher: John Wiley & Sons
ISBN: 9780470179772
Format: PDF, ePub, Mobi
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A balanced introduction to the theoretical foundations and real-world applications of mathematical finance The ever-growing use of derivative products makes it essential for financial industry practitioners to have a solid understanding of derivative pricing. To cope with the growing complexity, narrowing margins, and shortening life-cycle of the individual derivative product, an efficient, yet modular, implementation of the pricing algorithms is necessary. Mathematical Finance is the first book to harmonize the theory, modeling, and implementation of today's most prevalent pricing models under one convenient cover. Building a bridge from academia to practice, this self-contained text applies theoretical concepts to real-world examples and introduces state-of-the-art, object-oriented programming techniques that equip the reader with the conceptual and illustrative tools needed to understand and develop successful derivative pricing models. Utilizing almost twenty years of academic and industry experience, the author discusses the mathematical concepts that are the foundation of commonly used derivative pricing models, and insightful Motivation and Interpretation sections for each concept are presented to further illustrate the relationship between theory and practice. In-depth coverage of the common characteristics found amongst successful pricing models are provided in addition to key techniques and tips for the construction of these models. The opportunity to interactively explore the book's principal ideas and methodologies is made possible via a related Web site that features interactive Java experiments and exercises. While a high standard of mathematical precision is retained, Mathematical Finance emphasizes practical motivations, interpretations, and results and is an excellent textbook for students in mathematical finance, computational finance, and derivative pricing courses at the upper undergraduate or beginning graduate level. It also serves as a valuable reference for professionals in the banking, insurance, and asset management industries.

The Mathematics of Finance

Author: Victor Goodman
Publisher: American Mathematical Soc.
ISBN: 9780821847930
Format: PDF, Mobi
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This book is ideally suited for an introductory undergraduate course on financial engineering. It explains the basic concepts of financial derivatives, including put and call options, as well as more complex derivatives such as barrier options and options on futures contracts. Both discrete and continuous models of market behavior are developed in this book. In particular, the analysis of option prices developed by Black and Scholes is explained in a self-contained way, using both the probabilistic Brownian Motion method and the analytical differential equations method. The book begins with binomial stock price models, moves on to multistage models, then to the Cox-Ross-Rubinstein option pricing process, and then to the Black-Scholes formula. Other topics presented include Zero Coupon Bonds, forward rates, the yield curve, and several bond price models. The book continues with foreign exchange models and the Keynes Interest Rate Parity Formula, and concludes with the study of country risk, a topic not inappropriate for the times. In addition to theoretical results, numerical models are presented in much detail. Each of the eleven chapters includes a variety of exercises.

Methods of Mathematical Finance

Author: Ioannis Karatzas
Publisher: Springer
ISBN: 1493968459
Format: PDF, ePub, Docs
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This sequel to Brownian Motion and Stochastic Calculus by the same authors develops contingent claim pricing and optimal consumption/investment in both complete and incomplete markets, within the context of Brownian-motion-driven asset prices. The latter topic is extended to a study of equilibrium, providing conditions for existence and uniqueness of market prices which support trading by several heterogeneous agents. Although much of the incomplete-market material is available in research papers, these topics are treated for the first time in a unified manner. The book contains an extensive set of references and notes describing the field, including topics not treated in the book. This book will be of interest to researchers wishing to see advanced mathematics applied to finance. The material on optimal consumption and investment, leading to equilibrium, is addressed to the theoretical finance community. The chapters on contingent claim valuation present techniques of practical importance, especially for pricing exotic options.

Mathematics of Finance

Author: Theodore E. Raiford
Publisher: Caffin Press
ISBN: 1443725293
Format: PDF, Kindle
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MATHEMATICS OF FINANCE By THEODORE E. RAIFORD Department of Mathematics University of Michigan GINN AND COMPANY BOSTON NEW YORK CHICAGO ATLANTA DALLAS COLUMBUS SAN FRANCISCO TORONTO LONDON COPYRIGHT, 1945, BY GINN AND COMPANY ALL RIGHTS RESERVED 440.7 ttbe fltbcnaeum rcg GINN AND COMPANY PO PUIETOHS BOSTON U. S. A. PREFACE To the student of pure mathematics the term mathematics of finance often seems somewhat of a misnomer since, in solving the problems usu ally presented in textbooks under this title, the types of mathematical operations involved are very few and very elementary. Indeed, in a first course in the mathematics of finance the development of the most impor tant formulas usually involves no greater difficulties than those encountered in the study of geometric progressions. Whether it is because of this seeming simplicity or because of a tendency to limit the problems to the very simplest kinds, the usual presentation has shown a decided lack of generality and flexibility in many of the formulas and their applications. Since no new mathematical principles are involved, a student who can develop and understand the simpler appearing formulas should be able to develop easily the more general for mulas, which are much more useful. And no student should use important formulas whose derivation and meaning, and hence possibilities and limi tations, he does not understand. There is a marked preference in many places in mathematics for presenting general definitions and formulas first, with the special cases following naturally from them. Tn trigonometry, for instance, the main importance of the trigonometric functions of an angle is emphasized by presenting first the generaldefinitions of these functions then the defi nitions of the functions of an acute angle in terms of the elements of a right triangle follow naturally as special cases. Up to the present time, textbooks in the mathematics of finance have not followed this plan of presentation. The foregoing considerations, plus years of experience in teaching the subject, sometimes with the more general formulas presented first and sometimes with the limited formulas presented first, have caused the author to feel the need of such a presentation as is attempted here. As everyone in this field of work is aware, the major problem is the thorough under standing of annuities and complete facility in their evaluation. The late Professor Glover, whose valuable and comprehensive tables for use in problems in the field of finance are well known, often remarked that few teachers of the subject realize the power and facility to be gained from a thorough appreciation of the double superscript notation in annuity formulas. The method of presentation emphasizes the point that very few funda mental formulas are necessary for handling financial problems if these formulas are thoroughly understood and appreciated. Mathematical forms are of inestimable value, as evidenced by their use in solving ordinary Tables of Applied Mathematics in Finance, Insurance, and Statistics, by James W. Glover. George Wahr, Ann Arbor, Michigan. iii PREFACE quadratic equations, in performing integration in the calculus, in classifying differential equations for solution, in handling many problems connected with infinite series, and in numerous other places familiar only to the accomplished mathematician. Moreover, these forms, if thoroughlymastered, far from reducing the subject to a mere substituting in for mulas, reduce the laborious detail that is necessary without them and bring to the subject much significance and effectiveness otherwise unap preciated. Any method of presentation is likely to involve a choice of forms, and usually it is possible to make choices which will emphasize the fundamentals. It is the authors experience that the method of presentation in this text does contribute to an understanding of these fundamentals...

Mathematics of Finance

Author: George Yin
Publisher: American Mathematical Soc.
ISBN: 0821834126
Format: PDF, ePub, Mobi
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The mathematics of finance involves a wide spectrum of techniques that go beyond traditional applied mathematics. The field has witnessed a tremendous amount of progress in recent years, which has inspired communication and networking among researchers in finance, economics, engineering, and industry. This volume contains papers based on talks given at the first AMS-IMS-SIAM Joint Summer Research Conference on Mathematics of Finance held at Snowbird (UT). Topics covered here include modeling, estimation, optimization, control, risk assessment and management, contingent claim pricing, dynamic hedging, and financial derivative design. The book is suitable for graduate students and research mathematicians interested in mathematical finance.

An Introduction to Mathematical Finance with Applications

Author: Arlie O. Petters
Publisher: Springer
ISBN: 1493937839
Format: PDF, Mobi
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This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student’s conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.

Financial Mathematics

Author: Yuliya Mishura
Publisher: Elsevier
ISBN: 0081004885
Format: PDF, ePub, Docs
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Finance Mathematics is devoted to financial markets both with discrete and continuous time, exploring how to make the transition from discrete to continuous time in option pricing. This book features a detailed dynamic model of financial markets with discrete time, for application in real-world environments, along with Martingale measures and martingale criterion and the proven absence of arbitrage. With a focus on portfolio optimization, fair pricing, investment risk, and self-finance, the authors provide numerical methods for solutions and practical financial models, enabling you to solve problems both from mathematical and from financial point of view. Calculations of Lower and upper prices, featuring practical examples The simplest functional limit theorem proved for transition from discrete to continuous time Learn how to optimize portfolio in the presence of risk factors