DERIVING CLOSED-FORM SOLUTIONS FOR GAUSSIAN PRICING MODELS: A SYSTEMATIC TIME-DOMAIN APPROACH
Alexander Levin
Additional contact information
Alexander Levin: The Dime Bancorp, Inc., Treasury Department, 589 5th Ave., New York, NY 10017, USA
Chapter 2 in Quantitative Analysis in Financial Markets:Collected Papers of the New York University Mathematical Finance Seminar, 1999, pp 25-52 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
AbstractA systematic time-domain approach is presented to the derivation of closed-form solutions for interest-rate contingent assets. A financial system "asset - interest rate market" is assumed to follow an any-factor system of linear stochastic differential equations and some piece-wise defined algebraic equations for the payoffs. Closed-form solutions are expressed through the first two statistical moments of the state variables that are proven to satisfy a deterministic linear system of ordinary differential equations.A number of examples are given to illustrate the method's effectiveness. With no restrictions on the number of factors, solutions are derived for randomly amortizing loans and deposits; any European-style swaptions, caps, and floors; conversion options; Asian-style options, etc. A two-factor arbitrage-free Gaussian term structure is introduced and analyzed.
Date: 1999
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789812812599_0002 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789812812599_0002 (text/html)
Ebook Access is available upon purchase.
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:wsi:wschap:9789812812599_0002
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().