Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/10983
Title: Distributional divergence, statistical experiments and consequences in option pricing
Authors: Yatracos, Yannis G. 
Major Field of Science: Natural Sciences
Field Category: Mathematics
Keywords: Distributional divergence;Infinitely divisible distribution;Market risk premium;Market's informational efficiency;Risk neutral probability;Statistical experiment
Issue Date: 2-Jan-2018
Source: Statistics, 2018, vol. 52, no. 1, pp. 18-33
Volume: 52
Issue: 1
Start page: 18
End page: 33
Journal: Statistics 
Abstract: Distributional Divergence and Statistical Experiments are used herein for a positive stochastic process. This framework provides, under mild assumptions, Risk Neutral Probability (-ies) P* for a stock price process which does not have necessarily either to satisfy a Stochastic Differential Equation or to follow a model, both non-realistic assumptions. The results contribute in understanding the relation between P*, statistical contiguity and market's informational efficiency. P*-price of European option is obtained, confirming the universal quote of the Black–Scholes–Merton price for the class of calm stock prices that includes log-normal price. Other consequences are presented.
URI: https://hdl.handle.net/20.500.14279/10983
ISSN: 10294910
DOI: 10.1080/02331888.2017.1369079
Rights: © Taylor & Francis
Type: Article
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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