EconPapers    
Economics at your fingertips  
 

Causal predictability and weak solutions of the stochastic differential equations with driving semimartingales

Ana Merkle

Statistics & Probability Letters, 2023, vol. 197, issue C

Abstract: We consider causal relationships between σ-fields (filtrations) in continuous time and define the concept of dependence between filtrations, named causal predictability, which is based on the Granger’s definition of causality. The concept of causality is analyzed using the tool of conditional independence. Then, we provide some properties of the given predictability concept.

Keywords: Filtration; Causal predictability; Stochastic differential equations; Weak solution; Weak uniqueness (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715223000408
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:stapro:v:197:y:2023:i:c:s0167715223000408

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2023.109816

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:197:y:2023:i:c:s0167715223000408