DYNAMICS OF OBSERVABLES IN RANK-BASED MODELS AND PERFORMANCE OF FUNCTIONALLY GENERATED PORTFOLIOS

成果类型:
Article
署名作者:
Monter, Sergio A. Almada; Shkolnikov, Mykhaylo; Zhang, Jiacheng
署名单位:
JP Morgan Chase & Company; Princeton University; Princeton University; Princeton University
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/19-AAP1466
发表日期:
2019
页码:
2849-2883
关键词:
Diffusions propagation diversity systems
摘要:
In the seminal work (Stochastic Portfolio Theory: Stochastic Modelling and Applied Probability (2002) Springer), several macroscopic market observables have been introduced, in an attempt to find characteristics capturing the diversity of a financial market. Despite the crucial importance of such observables for investment decisions, a concise mathematical description of their dynamics has been missing. We fill this gap in the setting of rank-based models. The results are then used to study the performance of multiplicatively and additively functionally generated portfolios.
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