EconPapers    
Economics at your fingertips  
 

Small Sample Analysis in Diffusion Processes: A Simulation Study

Giuseppina Albano (), Michele La Rocca and Cira Perna
Additional contact information
Giuseppina Albano: University of Salerno
Michele La Rocca: University of Salerno

A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2018, pp 19-23 from Springer

Abstract: Abstract In this paper we analyse small sample properties of the ML estimation procedure in Vasicek and CIR models. In particular, we consider short time series, with a length between 20 and 100, typically values observed in finance and insurance contexts. We perform a simulation study in order to investigate which properties of the parameter estimators remain still valid.

Keywords: Vasicek process; CIR process; Boostrap resampling (search for similar items in EconPapers)
Date: 2018
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:sprchp:978-3-319-89824-7_4

Ordering information: This item can be ordered from
http://www.springer.com/9783319898247

DOI: 10.1007/978-3-319-89824-7_4

Access Statistics for this chapter

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

 
Page updated 2026-05-31
Handle: RePEc:spr:sprchp:978-3-319-89824-7_4