Title :
The equivalence of optimal market gain and minimax regret universal portfolios
Author :
Cover, Tom ; Ordentlich, Erik
Author_Institution :
Stanford Univ., CA, USA
fDate :
29 Jun-4 Jul 1997
Abstract :
Suppose one is given a set of joint distributions {pθ (x)} over stock market outcomes x∈Rm. 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;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613202