DocumentCode
1367185
Title
The efficiency of investment information
Author
Erkip, Elza ; Cover, Thomas M.
Author_Institution
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Volume
44
Issue
3
fYear
1998
fDate
5/1/1998 12:00:00 AM
Firstpage
1026
Lastpage
1040
Abstract
We investigate how the description of a correlated information V improves the investment in the stock market X. The objective is to maximize the growth rate of wealth in repeated investments, We find a single-letter characterization of the incremental growth rate Δ(R), the maximum increase in growth rate when V is described to the investor at rate R. The incremental growth rate specialized to the horse race market is related to source coding with side information of Wyner and Ahlswede-Kormer. We provide two horse race examples: jointly binary and jointly Gaussian. The initial efficiency Δ´(0) is the maximum possible increase in the growth rate per bit of description, We show that the initial efficiency is related to the dependency between V and the market. In particular, for the horse race market, the initial efficiency is the square of the Hirschfeld-Gebelein-Renyi maximal correlation between V and X. This provides a connection with the hypercontraction of the Markov operator of Ahlswede and Gacs. For the general market the initial efficiency is 1 when the side information V is equal to the stock market outcome X
Keywords
Markov processes; investment; source coding; stock markets; Hirschfeld-Gebelein-Renyi maximal correlation; Markov operator; correlated information; efficiency; horse race market; hypercontraction; incremental growth rate; investment information; jointly Gaussian; jointly binary; portfolio; side information; single-letter characterization; source coding; stock market; Conferences; Horses; Information theory; Investments; Mutual information; Portfolios; Source coding; Statistical distributions; Stock markets;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.669153
Filename
669153
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