稳健金融的càdlàg崎岖道路基础

IF 1.1 2区 经济学 Q3 BUSINESS, FINANCE Finance and Stochastics Pub Date : 2023-11-17 DOI:10.1007/s00780-023-00522-0
Andrew L. Allan, Chong Liu, David J. Prömel
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引用次数: 5

摘要

利用粗糙路径理论,我们为随机Itô积分提供了一个路径基础,它涵盖了最常用的交易策略和金融市场的数学模型,包括那些在knight不确定性下的模型。为此,我们引入了càdlàg路径的所谓性质(RIE),它表明了càdlàg粗糙路径和Föllmer意义上的二次变分的存在。我们证明了相应的粗糙积分作为左点黎曼和的极限沿适当的划分序列存在。这使得我们可以处理非梯度类型的积分,并给出了粗糙路径理论的强大的稳定性估计。此外,我们验证了(路径依赖的)函数生成的交易策略和Cover的通用投资组合是可容许积分,并且(Young)半鞅和典型价格路径都满足性质(RIE)。
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A càdlàg rough path foundation for robust finance

Using rough path theory, we provide a pathwise foundation for stochastic Itô integration which covers most commonly applied trading strategies and mathematical models of financial markets, including those under Knightian uncertainty. To this end, we introduce the so-called property (RIE) for càdlàg paths, which is shown to imply the existence of a càdlàg rough path and of quadratic variation in the sense of Föllmer. We prove that the corresponding rough integrals exist as limits of left-point Riemann sums along a suitable sequence of partitions. This allows one to treat integrands of non-gradient type and gives access to the powerful stability estimates of rough path theory. Additionally, we verify that (path-dependent) functionally generated trading strategies and Cover’s universal portfolio are admissible integrands, and that property (RIE) is satisfied by both (Young) semimartingales and typical price paths.

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来源期刊
Finance and Stochastics
Finance and Stochastics 管理科学-数学跨学科应用
CiteScore
2.90
自引率
5.90%
发文量
20
审稿时长
>12 weeks
期刊介绍: The purpose of Finance and Stochastics is to provide a high standard publication forum for research - in all areas of finance based on stochastic methods - on specific topics in mathematics (in particular probability theory, statistics and stochastic analysis) motivated by the analysis of problems in finance. Finance and Stochastics encompasses - but is not limited to - the following fields: - theory and analysis of financial markets - continuous time finance - derivatives research - insurance in relation to finance - portfolio selection - credit and market risks - term structure models - statistical and empirical financial studies based on advanced stochastic methods - numerical and stochastic solution techniques for problems in finance - intertemporal economics, uncertainty and information in relation to finance.
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