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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article
Data sources: zbMATH Open
Theory of Probability and Its Applications
Article . 1995 . Peer-reviewed
Data sources: Crossref
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Models for Option Prices

Models for option prices
Authors: Rachev, S. T.; Rüschendorf, L.;

Models for Option Prices

Abstract

We describe various models, which can be approximated by binomial models of a market of securities [\textit{J. C. Cox}, \textit{S. A. Ross} and \textit{M. Rubinstein}, J. Financ. Econ. 7, No. 3, 229--263 (1979; Zbl 1131.91333)] and introduce the corresponding approximation formulas for the value of options. In order to obtain more general and more realistic limit models, we introduce additional randomizations into the binomial model. This leads, in particular, to models, which behave in a very diverse way, having ``heavy'' tails, strongly expressed peaks of densities, nonsymmetric densities u.s.w. In correspondence to the above-mentioned article approximation formulas for the cost of options are derived, examples are presented.

Keywords

value of options, Derivative securities (option pricing, hedging, etc.), market of securities, Microeconomic theory (price theory and economic markets)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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