EconPapers    
Economics at your fingertips  
 

Ito’s Lemma

Uwe Hassler

Chapter 11 in Stochastic Processes and Calculus, 2016, pp 239-258 from Springer

Abstract: Abstract If a process is given as a stochastic Riemann and/or Ito integral, then one may wish to determine how a function of the process looks. This is achieved by Ito’s lemma as an ingredient of stochastic calculus. In particular, stochastic integrals can be determined and stochastic differential equations can be solved with it; we will get to know stochastic variants of familiar rules of differentiation (chain and product rule). For this purpose we approach Ito’s lemma step by step by first discussing it for Wiener processes, then by generalizing it for diffusion processes and finally by considering some extensions.

Keywords: Stochastic Differential Equation; Wiener Process; Product Rule; Stochastic Variant; Stochastic Integral (search for similar items in EconPapers)
Date: 2016
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:sptchp:978-3-319-23428-1_11

Ordering information: This item can be ordered from
http://www.springer.com/9783319234281

DOI: 10.1007/978-3-319-23428-1_11

Access Statistics for this chapter

More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:sptchp:978-3-319-23428-1_11