DocumentCode
3046752
Title
The equivalence of optimal market gain and minimax regret universal portfolios
Author
Cover, Tom ; Ordentlich, Erik
Author_Institution
Stanford Univ., CA, USA
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
282
Abstract
Suppose one is given a set of joint distributions {pθ (x)} over stock market outcomes x∈R m. We ask what actions θ should an investor take, and with what frequency, to maximize the investor´s advantage over the market. In another question we ask for the universal portfolio minimizing the maximum regret in the growth rate of wealth. We argue, in parallel with Gallager´s (1968) proof for the equivalence of channel capacity and minimum redundancy in data compression, that both problems have the same answer minb maxθ ∫pθlnbθtx/bt x
Keywords
channel capacity; data compression; finance; optimisation; statistical analysis; stock markets; channel capacity; data compression; equivalence; frequency; investor; joint distributions; maximum regret; minimax regret universal portfolios; minimum redundancy; optimal market gain; stock market outcomes; wealth growth rate; Channel capacity; Data compression; Frequency; Game theory; Information theory; Investments; Minimax techniques; Portfolios; Statistics; Stock markets;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.613202
Filename
613202
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