A relationship between the growth-rate of logoptimal portfolios and capacity of fading single-input multiple output (SIMO) channels are established. Using this relation, stock vector stochastic processes that model the investment environments are stochastically ordered using different criteria. The presence of side information (SI) is considered, and a bound on the gains in the growth-rate due to SI is derived along with data processing inequality and convexity properties. A statistical test on the usefulness of SI that does not require the computation of the optimal portfolio vector in the presence of SI is introduced and its several variants are discussed.
翻译:利用这种关系,采用不同的标准,对模拟投资环境的种群矢量随机过程进行模拟,采用不同的标准对投资环境进行随机排序;考虑附带信息(SI)的存在,并结合数据处理不平等和凝结性能,对SI增长率的增益进行约束;对SI的有用性进行统计测试,不要求在SI在场的情况下计算最佳组合矢量,并讨论其若干变式。