An Introduction to the Mathematics of Finance Books

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Introduction to the Mathematics of Finance


Introduction to the Mathematics of Finance
  • Author : Steven Roman
  • Publisher : Springer Science & Business Media
  • Release : 2013-12-01
  • ISBN : 9781441990051
  • Language : En, Es, Fr & De
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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.

An Introduction to the Mathematics of Finance


An Introduction to the Mathematics of Finance
  • Author : Stephen Garrett
  • Publisher : Butterworth-Heinemann
  • Release : 2013-05-28
  • ISBN : 9780080982755
  • Language : En, Es, Fr & De
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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 the Mathematics of Financial Derivatives


An Introduction to the Mathematics of Financial Derivatives
  • Author : Salih N. Neftci
  • Publisher : Academic Press
  • Release : 2000-06-02
  • ISBN : 9780125153928
  • Language : En, Es, Fr & De
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A step-by-step explanation of the mathematical models used to price derivatives. For this second edition, Salih Neftci has expanded one chapter, added six new ones, and inserted chapter-concluding exercises. He does not assume that the reader has a thorough mathematical background. His explanations of financial calculus seek to be simple and perceptive.

Mathematics for Finance


Mathematics for Finance
  • Author : Marek Capinski
  • Publisher : Springer
  • Release : 2006-04-18
  • ISBN : 9781852338466
  • Language : En, Es, Fr & De
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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.

Introduction to the Mathematics of Finance


Introduction to the Mathematics of Finance
  • Author : Ruth J. Williams
  • Publisher : American Mathematical Soc.
  • Release : 2006
  • ISBN : 9780821839034
  • Language : En, Es, Fr & De
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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.