Convergence rates for rank-based models with applications to portfolio theory

成果类型:
Article
署名作者:
Ichiba, Tomoyuki; Pal, Soumik; Shkolnikov, Mykhaylo
署名单位:
University of California System; University of California Santa Barbara; University of Washington; University of Washington Seattle
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-012-0432-5
发表日期:
2013
页码:
415-448
关键词:
reflecting brownian-motion particle-systems inequalities
摘要:
We determine rates of convergence of rank-based interacting diffusions and semimartingale reflecting Brownian motions to equilibrium. Bounds on fluctuations of additive functionals are obtained using Transportation Cost-Information inequalities for Markov processes. We work out various applications to the rank-based abstract equity markets used in Stochastic Portfolio Theory. For example, we produce quantitative bounds, including constants, for fluctuations of market weights and occupation times of various ranks for individual coordinates. Another important application is the comparison of performance between symmetric functionally generated portfolios and the market portfolio. This produces estimates of probabilities of beating the market.
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