The Mathematics of Finance

The Mathematics of Finance PDF

Author: Victor Goodman

Publisher: American Mathematical Soc.

Published: 2009

Total Pages: 274

ISBN-13: 0821847937

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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."--pub. desc.

Introduction to the Mathematics of Finance

Introduction to the Mathematics of Finance PDF

Author: R. J. Williams

Publisher: American Mathematical Society

Published: 2021-09-14

Total Pages: 162

ISBN-13: 1470460386

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The modern subject of mathematical finance has undergone considerable development, both in theory and practice, since the seminal work of Black and Scholes appeared a third of a century ago. This book is intended as an introduction to some elements of the theory that will enable students and researchers to go on to read more advanced texts and research papers. The book begins with the development of the basic ideas of hedging and pricing of European and American derivatives in the discrete (i.e., discrete time and discrete state) setting of binomial tree models. Then a general discrete finite market model is introduced, and the fundamental theorems of asset pricing are proved in this setting. Tools from probability such as conditional expectation, filtration, (super)martingale, equivalent martingale measure, and martingale representation are all used first in this simple discrete framework. This provides a bridge to the continuous (time and state) setting, which requires the additional concepts of Brownian motion and stochastic calculus. The simplest model in the continuous setting is the famous Black-Scholes model, for which pricing and hedging of European and American derivatives are developed. The book concludes with a description of the fundamental theorems for a continuous market model that generalizes the simple Black-Scholes model in several directions.

EBOOK Mathematics of Finance

EBOOK Mathematics of Finance PDF

Author: Kathy Tannous

Publisher: McGraw-Hill Education Australia

Published: 2015-03-06

Total Pages: 386

ISBN-13: 174376488X

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Mathematics of Finance is designed to provide readers with a generic approach to appreciate the importance of understanding financial mathematics with respect to a wide range of financial transactions. Tannous, Brown, Kopp and Zima deliver an excellent tool to equip students with the knowledge needed to operate in a world of growing financial complexity. Real-World applications, such as home mortgages and personal loans, engage students by showing the relevance along with the tools needed to apply what they learn to other situations. Mathematics of Finance provides students with an understanding of the calculations that underlie most financial transactions. Case studies, exercises and numerous worked examples support the theory throughout the text. "Mathematics of Finance, by Tannous, Brown, Kopp and Zima, provides a splendid array of numerical examples with real life application that support financial understanding in a substantive manner. The Australian focus and use of excel for obtaining numerical solutions make the book extremely useful in building student interest, awareness and skill in the approach to financial transactions." - Professor Ron Ratti, University of Western Sydney.

Mathematics for Finance

Mathematics for Finance PDF

Author: Marek Capinski

Publisher: Springer

Published: 2006-04-18

Total Pages: 314

ISBN-13: 1852338466

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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.

Mathematics of Finance

Mathematics of Finance PDF

Author: Donald G. Saari

Publisher: Springer Nature

Published: 2019-08-31

Total Pages: 144

ISBN-13: 3030254437

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This textbook invites the reader to develop a holistic grounding in mathematical finance, where concepts and intuition play as important a role as powerful mathematical tools. Financial interactions are characterized by a vast amount of data and uncertainty; navigating the inherent dangers and hidden opportunities requires a keen understanding of what techniques to apply and when. By exploring the conceptual foundations of options pricing, the author equips readers to choose their tools with a critical eye and adapt to emerging challenges. Introducing the basics of gambles through realistic scenarios, the text goes on to build the core financial techniques of Puts, Calls, hedging, and arbitrage. Chapters on modeling and probability lead into the centerpiece: the Black–Scholes equation. Omitting the mechanics of solving Black–Scholes itself, the presentation instead focuses on an in-depth analysis of its derivation and solutions. Advanced topics that follow include the Greeks, American options, and embellishments. Throughout, the author presents topics in an engaging conversational style. “Intuition breaks” frequently prompt students to set aside mathematical details and think critically about the relevance of tools in context. Mathematics of Finance is ideal for undergraduates from a variety of backgrounds, including mathematics, economics, statistics, data science, and computer science. Students should have experience with the standard calculus sequence, as well as a familiarity with differential equations and probability. No financial expertise is assumed of student or instructor; in fact, the text’s deep connection to mathematical ideas makes it suitable for a math capstone course. A complete set of the author’s lecture videos is available on YouTube, providing a comprehensive supplementary resource for a course or independent study.

An Introduction to the Mathematics of Finance

An Introduction to the Mathematics of Finance PDF

Author: Stephen Garrett

Publisher: Butterworth-Heinemann

Published: 2013-05-28

Total Pages: 464

ISBN-13: 0080982751

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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

An Introduction to Mathematical Finance with Applications

An Introduction to Mathematical Finance with Applications PDF

Author: Arlie O. Petters

Publisher: Springer

Published: 2016-06-17

Total Pages: 483

ISBN-13: 1493937839

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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.

Lectures on the Mathematics of Finance

Lectures on the Mathematics of Finance PDF

Author: Ioannis Karatzas

Publisher: American Mathematical Soc.

Published: 1997

Total Pages: 163

ISBN-13: 0821809091

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In this text, the author discusses the main aspects of mathematical finance. These include, arbitrage, hedging and pricing of contingent claims, portfolio optimization, incomplete and/or constrained markets, equilibrium, and transaction costs. The book outlines advances made possible during the last fifteen years due to the methodologies of stochastic analysis and control. Readers are presented with current research, and open problems are suggested. This tutorial survey of the rapidly expanding field of mathematical finance is addressed primarily to graduate students in mathematics. Familiarity is assumed with stochastic analysis and parabolic partial differential equations. The text makes significant use of students' mathematical skills, but always in connection with interesting applied problems.

Mathematical Finance

Mathematical Finance PDF

Author: Ernst Eberlein

Publisher: Springer Nature

Published: 2019-12-03

Total Pages: 774

ISBN-13: 3030261069

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Taking continuous-time stochastic processes allowing for jumps as its starting and focal point, this book provides an accessible introduction to the stochastic calculus and control of semimartingales and explains the basic concepts of Mathematical Finance such as arbitrage theory, hedging, valuation principles, portfolio choice, and term structure modelling. It bridges thegap between introductory texts and the advanced literature in the field. Most textbooks on the subject are limited to diffusion-type models which cannot easily account for sudden price movements. Such abrupt changes, however, can often be observed in real markets. At the same time, purely discontinuous processes lead to a much wider variety of flexible and tractable models. This explains why processes with jumps have become an established tool in the statistics and mathematics of finance. Graduate students, researchers as well as practitioners will benefit from this monograph.