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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/170323

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Title
Estimating the diffusion coefficient function for a diversified world stock index
Related
Computational statistics and data analysis, Vol. 56, No. 6, (2012), p.1333-1349
DOI
10.1016/j.csda.2011.10.004
Publisher
Elsevier
Date
2012
Author/Creator
Ignatieva, Katja
Author/Creator
Platen, Eckhard
Description
This paper deals with the estimation of continuous-time diffusion processes which model the dynamics of a well diversified world stock index (WSI). We use the nonparametric kernel-based estimation to empirically identify a square root type diffusion coefficient function in the dynamics of the discounted WSI. A square root process turns out to be an excellent building block for a parsimonious model for the WSI. Its dynamics allow capturing various empirical stylized facts and long term properties of the index, as well as, the explicit computation of various financial quantities.
Description
17 page(s)
Subject Keyword
Diffusion coefficient function
Subject Keyword
Diversified world stock index
Subject Keyword
Kernel density
Subject Keyword
Nonparametric estimation
Subject Keyword
Square root process
Resource Type
journal article
Organisation
Macquarie University. Dept. of Applied Finance and Actuarial Studies

Identifier
http://hdl.handle.net/1959.14/170323
Identifier
ISSN:0167-9473
Identifier
mq_res-ext-2-s2.0-84857648614
Language
eng
Reviewed
Reviewed
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Citation Format
E-mail Address
Subject
"Computational statistics and data analysis"
 
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