EconPapers    
Economics at your fingertips  
 

Estimation of Equicorrelated Diffusions from Incomplete Data

Robert Jones and Mohammad Zanganeh ()
Additional contact information
Mohammad Zanganeh: Simon Fraser University

Discussion Papers from Department of Economics, Simon Fraser University

Abstract: The paper derives maximum likelihood parameter estimators for symmetrically correlated Weiner processes observed at discrete intervals. Such processes arise when pricing and determining Value-at-Risk for portfolio derivatives. Cases of driftless and mean-reverting state variables are considered. The procedure is applicable to samples with missing data of any pattern and to high dimensional systems. The estimation procedure is illustrated using a sample of stock prices.

Keywords: Maximum likelihood; Equicorrelation; Correlated di usions; Wiener process; Missing data (search for similar items in EconPapers)
JEL-codes: C51 C58 G11 G21 (search for similar items in EconPapers)
Pages: 27
Date: 2011-10
New Economics Papers: this item is included in nep-ecm, nep-ore and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sfu.ca/repec-econ/sfu/sfudps/dp11-03.pdf (application/pdf)

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:sfu:sfudps:dp11-03

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Discussion Papers from Department of Economics, Simon Fraser University Department of Economics, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada. Contact information at EDIRC.
Bibliographic data for series maintained by Working Paper Coordinator ().

 
Page updated 2025-03-20
Handle: RePEc:sfu:sfudps:dp11-03