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Weak Convergence of Financial Markets [Hardcover]

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Item description for Weak Convergence of Financial Markets by Jean-Luc Prigent...

A comprehensive overview of weak convergence of stochastic processes and its application to the study of financial markets. Split into three parts, the first recalls the mathematics of stochastic processes and stochastic calculus with special emphasis on contiguity properties and weak convergence of stochastic integrals. The second part is devoted to the analysis of financial theory from the convergence point of view. The main problems such as portfolio optimization, option pricing and hedging are examined, especially when considering discrete-time approximations of continuous-time dynamics. The third part deals with lattice- and tree-based computational procedures for option pricing both on stocks and stochastic bonds. More general discrete approximations are also introduced and detailed.

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Item Specifications...

Pages   422
Est. Packaging Dimensions:   Length: 0.5" Width: 6.5" Height: 9.75"
Weight:   1.5 lbs.
Binding  Hardcover
Release Date   Aug 5, 2003
Publisher   Springer
ISBN  3540423338  
ISBN13  9783540423331  

Availability  106 units.
Availability accurate as of Oct 27, 2016 03:06.
Usually ships within one to two business days from La Vergne, TN.
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More About Jean-Luc Prigent

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1Books > Special Features > New & Used Textbooks > Business & Finance > Accounting
2Books > Special Features > New & Used Textbooks > Business & Finance > Economics
3Books > Special Features > New & Used Textbooks > Business & Finance > Finance
4Books > Subjects > Business & Investing > Economics > General
5Books > Subjects > Business & Investing > Finance
6Books > Subjects > Business & Investing > General
7Books > Subjects > Business & Investing > Industries & Professions > Accounting > General
8Books > Subjects > Professional & Technical > Accounting & Finance > Accounting > General
9Books > Subjects > Professional & Technical > Accounting & Finance > Finance > General
10Books > Subjects > Science > Mathematics > Applied

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