DocumentCode :
1551593
Title :
Empirical Portfolio Selection Strategies With Proportional Transaction Costs
Author :
Györfi, László ; Walk, Harro
Author_Institution :
Dept. of Comput. Sci. & Inf. Theor., Budapest Univ. of Technol. & Econ., Budapest, Hungary
Volume :
58
Issue :
10
fYear :
2012
Firstpage :
6320
Lastpage :
6331
Abstract :
Discrete time growth optimal investment in stock markets with proportional transactions costs is considered. The market process is modeled by a first-order Markov process. Not assuming that the distribution of the market process is known, we show empirical investment strategies such that, in the long run, the growth rate on trajectories achieves the maximum with probability 1.
Keywords :
Markov processes; investment; stock markets; transaction processing; Markov process; discrete time growth optimal investment; empirical portfolio selection strategy; proportional transaction cost; stock markets; Equations; Investments; Kernel; Markov processes; Mathematical model; Portfolios; Vectors; Dynamic optimization; log-optimal investment; portfolio selection; proportional transaction cost;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2012.2205131
Filename :
6230655
Link To Document :
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