Value at Risk Models
David L. Olson and
Desheng Wu
Additional contact information
David L. Olson: University of Nebraska
Desheng Wu: University of Chinese Academy of Sciences
Chapter 6 in Enterprise Risk Management Models, 2023, pp 75-87 from Springer
Abstract:
Abstarct Financial risk management has been analyzed using the value at risk methodology. The method is described, evolving from variance-covariance analysis. Monte Carlo simulation is applied to demonstrate calculations with Crystal Ball software.
Date: 2023
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:sptchp:978-3-662-68038-4_6
Ordering information: This item can be ordered from
http://www.springer.com/9783662680384
DOI: 10.1007/978-3-662-68038-4_6
Access Statistics for this chapter
More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().