A DUAL CHARACTERIZATION OF SELF-GENERATION AND EXPONENTIAL FORWARD PERFORMANCES
成果类型:
Article
署名作者:
Zitkovic, Gordan
署名单位:
University of Texas System; University of Texas Austin
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/09-AAP607
发表日期:
2009
页码:
2176-2210
关键词:
unbounded random endowment
incomplete markets
Utility maximization
Optimal investment
martingale measures
optimal consumption
PORTFOLIO POLICIES
constraints
摘要:
We propose a mathematical framework for the study of a family of random fields-called forward performances-which arise as numerical representation of certain rational preference relations in mathematical finance. Their spatial structure corresponds to that of utility functions, while the temporal one reflects a Nisio-type semigroup property, referred to as self-generation. In the setting of semimartingale financial markets, we provide a dual formulation of self-generation in addition to the original one, and show equivalence between the two, thus giving a dual characterization of forward performances. Then we focus on random fields with an exponential structure and provide necessary and sufficient conditions for self-generation in that case. Finally, we illustrate our methods in financial markets driven by Ito-processes, where we obtain an explicit parametrization of all exponential forward performances.