The Mathematics of Finance

The Mathematics of Finance
Author: Victor Goodman
Publisher: American Mathematical Soc.
Total Pages: 274
Release: 2009
Genre: Capital market
ISBN: 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.


The Mathematics of Finance
Language: en
Pages: 274
Authors: Victor Goodman
Categories: Capital market
Type: BOOK - Published: 2009 - Publisher: American Mathematical Soc.

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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-S
Mathematics of Finance
Language: en
Pages: 748
Authors: Robert Cissell
Categories: Business & Economics
Type: BOOK - Published: 1990 - Publisher:

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Mathematics of Finance
Language: en
Pages: 144
Authors: Donald G. Saari
Categories: Mathematics
Type: BOOK - Published: 2019-08-31 - Publisher: Springer Nature

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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 math
Mathematics for Finance
Language: en
Pages: 317
Authors: Marek Capinski
Categories: Business & Economics
Type: BOOK - Published: 2006-04-18 - Publisher: Springer

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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 kn
Mathematical Finance
Language: en
Pages: 774
Authors: Ernst Eberlein
Categories: Mathematics
Type: BOOK - Published: 2019-12-03 - Publisher: Springer Nature

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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