On low dimensional case in the fundamental asset pricing theorem with transaction costs

IF 1.3 Q2 STATISTICS & PROBABILITY
P. Grigoriev
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引用次数: 29

Abstract

Summary The well-known Harrison–Plisse theorem claims that in the classical discrete time model of the financial market with finite Ω there is no arbitrage iff there exists an equivalent martingale measure. The famous Dalang–Morton–Willinger theorem extends this result for an arbitrary Ω. Kabanov and Stricker [KS01] generalized the Harrison–Pliska theorem for the case of the market with proportional transaction costs. Nevertheless the corresponding extension of the Kabanov and Stricker result to the case of non-finite Ω fails, the corresponding counter-example with 4 assets was constructed by Schachermayer [S04]. The main result of this paper is that in the special case of 2 assets the Kabanov and Stricker theorem can be extended for an arbitrary Ω. This is quite a surprising result since the corresponding cone of hedgeable claims ÂT is not necessarily closed.
低维情况下具有交易成本的基本资产定价定理
著名的Harrison-Plisse定理指出,在具有有限Ω的金融市场的经典离散时间模型中,如果存在等价鞅测度,则不存在套利。著名的Dalang-Morton-Willinger定理将这个结果推广到任意Ω。Kabanov和Stricker [KS01]在交易成本成比例的市场情况下推广了Harrison-Pliska定理。尽管Kabanov和Stricker结果在非有限Ω情况下的相应推广失败,但Schachermayer [S04]构造了具有4个资产的相应反例。本文的主要结果是在2种资产的特殊情况下,卡巴诺夫定理和斯特里克定理可以推广到任意Ω。这是一个相当令人惊讶的结果,因为相应的可对冲索赔ÂT并不一定是闭合的。
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来源期刊
Statistics & Risk Modeling
Statistics & Risk Modeling STATISTICS & PROBABILITY-
CiteScore
1.80
自引率
6.70%
发文量
6
期刊介绍: Statistics & Risk Modeling (STRM) aims at covering modern methods of statistics and probabilistic modeling, and their applications to risk management in finance, insurance and related areas. The journal also welcomes articles related to nonparametric statistical methods and stochastic processes. Papers on innovative applications of statistical modeling and inference in risk management are also encouraged. Topics Statistical analysis for models in finance and insurance Credit-, market- and operational risk models Models for systemic risk Risk management Nonparametric statistical inference Statistical analysis of stochastic processes Stochastics in finance and insurance Decision making under uncertainty.
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