EconPapers    
Economics at your fingertips  
 

On asset pricing in a binomial model with fixed and proportional transaction costs, portfolio constraints and dividends

Esmaeil Babaei ()
Additional contact information
Esmaeil Babaei: The Manchester Metropolitan University

Mathematical Methods of Operations Research, 2025, vol. 101, issue 1, No 2, 29-50

Abstract: Abstract We extend the classical binomial model proposed by Cox, Ross, and Rubinstein for derivative security pricing to encompass both fixed and proportional transaction costs, portfolio constraints including margin requirements, and dividend-paying assets. Our focus is on studying option hedging within this enriched framework. Initially, we establish the existence of a hedging strategy in this context. Subsequently, we determine the optimal hedging strategy and its associated initial cost by decomposing the problem into a sequence of hedging problems. To illustrate our approach, we present a numerical example within a 3-period binomial model.

Keywords: Binomial model; Self-financing condition; Transaction costs; Hedging; Portfolio constraints; Dividends (search for similar items in EconPapers)
JEL-codes: C61 C65 C67 G10 G11 G12 G13 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00186-024-00881-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:mathme:v:101:y:2025:i:1:d:10.1007_s00186-024-00881-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186

DOI: 10.1007/s00186-024-00881-0

Access Statistics for this article

Mathematical Methods of Operations Research is currently edited by Oliver Stein

More articles in Mathematical Methods of Operations Research from Springer, Gesellschaft für Operations Research (GOR), Nederlands Genootschap voor Besliskunde (NGB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:mathme:v:101:y:2025:i:1:d:10.1007_s00186-024-00881-0