Link on this page

<E-Book>
Weak Convergence of Financial Markets / by Jean-Luc Prigent
(Springer Finance. ISSN:21950687)

Edition 1st ed. 2003.
Publisher (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
Year 2003
Language English
Size XIV, 424 p : online resource
Authors *Prigent, Jean-Luc author
SpringerLink (Online service)
Subjects LCSH:Finance, Public
LCSH:Finance
LCSH:Social sciences -- Mathematics  All Subject Search
FREE:Public Economics
FREE:Financial Economics
FREE:Mathematics in Business, Economics and Finance
Notes Weack Convergence of Stochastic Processes: Basic Properties of Stochastic Processes -- Weak Convergence -- Weak Convergence to a Semimartingale -- Weak Convergence of Stochastic Integrals -- Limit Theorems, Density Processes and Contiguity -- Weak Convergence of Financial Markets: Convergence of Optimal Consumption-Portfolio Strategies -- Convergence of Option Prices -- Convergence of Hedging Strategies -- The Basic Models of Approximations: General Remarks -- Lattice -- Alternative Approximations -- Approximations of Term Structure Models -- Index
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
HTTP:URL=https://doi.org/10.1007/978-3-540-24831-6
TOC

Hide book details.

E-Book オンライン 電子ブック

Springer eBooks 9783540248316
電子リソース
EB00232972

Hide details.

Material Type E-Book
Classification LCC:HJ9-9940
DC23:336
ID 4000107881
ISBN 9783540248316

 Similar Items