Scaling limits of processes with fast nonlinear mean reversion
Thomas Cayé,
Martin Herdegen and
Johannes Muhle-Karbe
Stochastic Processes and their Applications, 2020, vol. 130, issue 4, 1994-2031
Abstract:
We derive scaling limits for integral functionals of Itô processes with fast nonlinear mean-reversion speeds. In these limits, the fast mean-reverting process is “averaged out” by integrating against its invariant measure. The convergence is uniformly in probability and, under mild integrability conditions, also in Sp. These results are a crucial building block for the analysis of portfolio choice models with small superlinear transaction costs, carried out in the companion paper of the present study [11].
Keywords: Processes with fast nonlinear mean reversion; Scaling limits (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304414919303837
Full text for ScienceDirect subscribers only
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:eee:spapps:v:130:y:2020:i:4:p:1994-2031
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spa.2019.06.008
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().