Option pricing impact of alternative continuous-time dynamics for discretely-observed stock prices
Damiano Brigo and
Fabio Mercurio ()
Finance and Stochastics, 2000, vol. 4, issue 2, 147-159
Abstract:
In the present paper we construct stock-price processes with the same marginal lognormal law as that of a geometric Brownian motion and also with the same transition density (and returns' distributions) between any two instants in a given discrete-time grid. We then illustrate how option prices based on such processes differ from Black and Scholes', in that option prices can assume any value in-between the no-arbitrage lower and upper bounds. We also explain that this is due to the particular way one models the stock-price process in between the grid time instants that are relevant for trading. The findings of the paper are inspired by a theoretical result, linking density-evolution of diffusion processes to exponential families. Such result is briefly reviewed in an appendix.
Keywords: Stock-price dynamics; Black and Scholes model; option pricing; discrete (search for similar items in EconPapers)
JEL-codes: G12 (search for similar items in EconPapers)
Date: 2000-02-10
Note: received: March 1998; final version received: March 1999
References: Add references at CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://link.springer.de/link/service/journals/00780/papers/0004002/00040147.pdf (application/pdf)
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:finsto:v:4:y:2000:i:2:p:147-159
Ordering information: This journal article can be ordered from
http://www.springer. ... ance/journal/780/PS2
Access Statistics for this article
Finance and Stochastics is currently edited by M. Schweizer
More articles in Finance and Stochastics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().