Almost log-optimal trading strategies for small transaction costs in model with stochastic coefficients
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00568998" target="_blank" >RIV/67985556:_____/22:00568998 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/22:10456022
Result on the web
<a href="https://www.kybernetika.cz/content/2022/6/903" target="_blank" >https://www.kybernetika.cz/content/2022/6/903</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14736/kyb-2022-6-0903" target="_blank" >10.14736/kyb-2022-6-0903</a>
Alternative languages
Result language
angličtina
Original language name
Almost log-optimal trading strategies for small transaction costs in model with stochastic coefficients
Original language description
We consider a non-consuming agent investing in a stock and a money market interested in the portfolio market price far in the future. We derive a strategy which is almost log-optimal in the long run in the presence of small proportional transaction costs for the case when the rate of return and the volatility of the stock market price are bounded Ito processes with bounded coefficients and when the volatility is bounded away from zero.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Kybernetika
ISSN
0023-5954
e-ISSN
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Volume of the periodical
58
Issue of the periodical within the volume
6
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
57
Pages from-to
903-959
UT code for WoS article
000962846400003
EID of the result in the Scopus database
2-s2.0-85161887984