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More Mathematical Finance

More Mathematical Finance
Author : Mark Suresh Joshi
Publisher :
Total Pages : 484
Release : 2011
ISBN 10 : 0987122800
ISBN 13 : 9780987122803
Language : EN, FR, DE, ES & NL
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More Mathematical Finance
Language: en
Pages: 484

More Mathematical Finance

Authors: Mark Suresh Joshi
Categories: Business & Economics
Type: BOOK - Published: 2011 - Publisher:

The long-awaited sequel to the "Concepts and Practice of Mathematical Finance" has now arrived. Taking up where the first volume left off, a range of topics is
The Concepts and Practice of Mathematical Finance
Language: en
Pages: 0

The Concepts and Practice of Mathematical Finance

Authors: Mark S. Joshi
Categories: Business & Economics
Type: BOOK - Published: 2008-10-30 - Publisher: Cambridge University Press

The second edition of a successful text providing the working knowledge needed to become a good quantitative analyst. An ideal introduction to mathematical fina
Principles of Quantitative Development
Language: en
Pages: 253

Principles of Quantitative Development

Authors: Manoj Thulasidas
Categories: Business & Economics
Type: BOOK - Published: 2010-08-09 - Publisher: John Wiley & Sons

Principles of Quantitative Development is a practical guide to designing, building and deploying a trading platform. It is also a lucid and succinct exposé on
Introduction to Quantitative Finance
Language: en
Pages: 747

Introduction to Quantitative Finance

Authors: Robert R. Reitano
Categories: Mathematics
Type: BOOK - Published: 2010-01-29 - Publisher: MIT Press

An introduction to many mathematical topics applicable to quantitative finance that teaches how to “think in mathematics” rather than simply do mathematics
An Introduction to Mathematical Finance with Applications
Language: en
Pages: 483

An Introduction to Mathematical Finance with Applications

Authors: Arlie O. Petters
Categories: Mathematics
Type: BOOK - Published: 2018-05-31 - Publisher: Springer

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
Problems and Solutions in Mathematical Finance, Volume 2
Language: en
Pages: 856

Problems and Solutions in Mathematical Finance, Volume 2

Authors: Eric Chin
Categories: Business & Economics
Type: BOOK - Published: 2017-03-13 - Publisher: John Wiley & Sons

Detailed guidance on the mathematics behind equity derivatives Problems and Solutions in Mathematical Finance Volume II is an innovative reference for quantitat
Paris-Princeton Lectures on Mathematical Finance 2010
Language: en
Pages: 374

Paris-Princeton Lectures on Mathematical Finance 2010

Authors: Areski Cousin
Categories: Mathematics
Type: BOOK - Published: 2011-06-29 - Publisher: Springer Science & Business Media

The Paris-Princeton Lectures in Financial Mathematics, of which this is the fourth volume, publish cutting-edge research in self-contained, expository articles
Problems and Solutions in Mathematical Finance, Volume 1
Language: en
Pages: 395

Problems and Solutions in Mathematical Finance, Volume 1

Authors: Eric Chin
Categories: Business & Economics
Type: BOOK - Published: 2014-11-10 - Publisher: John Wiley & Sons

Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential
Problems and Solutions in Mathematical Finance
Language: en
Pages: 856

Problems and Solutions in Mathematical Finance

Authors: Eric Chin
Categories: Business & Economics
Type: BOOK - Published: 2017-01-04 - Publisher: John Wiley & Sons

Detailed guidance on the mathematics behind equity derivatives Problems and Solutions in Mathematical Finance Volume II is an innovative reference for quantitat
Mathematical Finance
Language: en
Pages: 374

Mathematical Finance

Authors: Michael Kohlmann
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Birkhäuser

The year 2000 is the centenary year of the publication of Bachelier's thesis which - together with Harry Markovitz Ph. D. dissertation on portfolio selection in

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