Continuous-Path Random Processes: Mathematical Prerequisites
Monique Jeanblanc (),
Marc Yor and
Marc Chesney
Additional contact information
Monique Jeanblanc: Université d’Evry
Marc Yor: Université Paris VI
Marc Chesney: Universität Zürich
Chapter 1 in Mathematical Methods for Financial Markets, 2009, pp 3-78 from Springer
Abstract:
Abstract Historically, in mathematical finance, continuous-time processes have been considered from the very beginning, e.g., Bachelier [39, 41] deals with Brownian motion, which has continuous paths. This may justify making our starting point in this book to deal with continuous-path random processes, for which, in this first chapter, we recall some well-known facts. We try to give all the definitions and to quote all the important facts for further use. In particular, we state, without proofs, results on stochastic calculus, change of probability and stochastic differential equations.
Keywords: Brownian Motion; Local Martingale; Mathematical Prerequisite; Integrable Martingale; Bounded Borel Function (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprfcp:978-1-84628-737-4_1
Ordering information: This item can be ordered from
http://www.springer.com/9781846287374
DOI: 10.1007/978-1-84628-737-4_1
Access Statistics for this chapter
More chapters in Springer Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().