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Mathematical Finance and Probability
 
 
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Mathematical Finance and Probability [Paperback]

Pablo Koch Medina (Author), Sandro Merino (Author)

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Book Description

February 12, 2003 3764369213 978-3764369217 1
This self-contained book presents the theory underlying the valuation of derivative financial instruments, which is becoming a standard part of the professional toolbox in the financial industry. It provides great insight into the underlying economic ideas in a very readable form, putting the reader in an excellent position to proceed to the more general continuous-time theory.

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Editorial Reviews

Review

 "This is probably the best written book on discrete-time models of mathematical finance. It is self consistent, all notions used in it are carefully defined. That is a mathematical book - by mathematicians and for mathematicians, which also means that its practical applications are restricted. The bibliography is complete. I strongly recommend that title as an introduction to mathematical finance." — Darius Gatarek (Control and Cybernetics)   "The style of presentation will appeal to anyone who is seeking an elementary but rigorous introduction to the pricing of derivative securities. The book is written carefully and is very readable." —Mathematical Reviews   "The book offers a self-contained elementary but rigorous and very clear introduction to the pricing of derivative instruments in discrete time. . . . For the interested reader who has not been exposed to modern probability theory before, the book provides an excellent starting point for studying the theory of derivative pricing. In particular, for a rigorous course on derivative pricing in an economics department or at a business school this introduction seems to be well-suited." —Zentralblatt Math   "The book presents the part of mathematical finance devoted to the pricing of derivative instruments; its basic theme is the study of prices in securities markets in an uncertain environment. . . As the objective of the book is to provide a sound understanding of important issues of modern approaches to mathematical finance, several mathematical models are developed and examined in detail.  The focus is on finite-time models and the highest level of generality is frequently sacrificed for the sake of a greater insight into the underlying economic ideas.  Even when the problems are approached from the mathematical point of view and almost all results are strictly proved, the financial interpretation is always stressed. . . The style of presentation is aimed at students of financial economics, mathematics and physics and at mathematicians, physicists and economists working in financial industry." —APPLICATIONS OF MATHEMATICS

From the Back Cover

The objective of this book is to give a self-contained presentation to the theory underlying the valuation of derivative financial instruments, which is becoming a standard part of the toolbox of professionals in the financial industry. Although a complete derivation of the Black-Scholes option pricing formula is given, the focus is on finite-time models. Not going for the greatest possible level of generality is greatly rewarded by a greater insight into the underlying economic ideas, putting the reader in an excellent position to proceed to the more general continuous-time theory. The material will be accessible to students and practitioners having a working knowledge of linear algebra and calculus. All additional material is developed from the very beginning as needed. In particular, the book also offers an introduction to modern probability theory, albeit mostly within the context of finite sample spaces. The style of presentation will appeal to financial economics students seeking an elementary but rigorous introduction to the subject; mathematics and physics students looking for an opportunity to become acquainted with this modern applied topic; and mathematicians, physicists or quantitatively inclined economists working in the financial industry.

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Inside This Book (learn more)
First Sentence:
The objective of this book is to give a self-contained presentation of that part of mathematical finance devoted to the pricing of derivative instruments. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
strongly positive linear functional, strongly positive vector, pricing functional, discounted value process, general probability spaces, equivalent martingale measure, underlying sample space, positive extension, replicating portfolio, attainable alternative, suitable portfolio, martingale measures, optional sampling theorem, optimal stopping time, arbitrage portfolio, finite probability spaces, replicating strategy, positive linear functionals, target alternative, martingale with respect, arbitrage opportunities, price process
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Proof Let, Cox Ross Rubinstein, Proof Assume, Arrow Debreu, Proof Note, Proof Set, Proof Take, Short Primer, Second Fundamental Theorem of Asset Pricing, The Seller's Perspective
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