Faking Brownian motion with continuous Markov martingales

IF 1.1 2区 经济学 Q3 BUSINESS, FINANCE Finance and Stochastics Pub Date : 2023-12-13 DOI:10.1007/s00780-023-00526-w
Mathias Beiglböck, George Lowther, Gudmund Pammer, Walter Schachermayer
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Abstract

Hamza and Klebaner (2007) [10] posed the problem of constructing martingales with one-dimensional Brownian marginals that differ from Brownian motion, so-called fake Brownian motions. Besides its theoretical appeal, this problem represents the quintessential version of the ubiquitous fitting problem in mathematical finance where the task is to construct martingales that satisfy marginal constraints imposed by market data.

Non-continuous solutions to this challenge were given by Madan and Yor (2002) [22], Hamza and Klebaner (2007) [10], Hobson (2016) [11] and Fan et al. (2015) [8], whereas continuous (but non-Markovian) fake Brownian motions were constructed by Oleszkiewicz (2008) [23], Albin (2008) [1], Baker et al. (2006) [4], Hobson (2013) [14], Jourdain and Zhou (2020) [16]. In contrast, it is known from Gyöngy (1986) [9], Dupire (1994) [7] and ultimately Lowther (2008) [17] and Lowther (2009) [20] that Brownian motion is the unique continuous strong Markov martingale with one-dimensional Brownian marginals.

We took this as a challenge to construct examples of a “barely fake” Brownian motion, that is, continuous Markov martingales with one-dimensional Brownian marginals that miss out only on the strong Markov property.

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用连续马尔可夫马氏模型伪造布朗运动
Hamza和k黎巴嫩(2007)[10]提出了构造与布朗运动不同的一维布朗边缘鞅的问题,即所谓的假布朗运动。除了它的理论吸引力,这个问题代表了数学金融中普遍存在的拟合问题的典型版本,其任务是构建满足市场数据施加的边际约束的鞅。Madan和Yor(2002)[22]、Hamza和k黎巴嫩(2007)[10]、Hobson(2016)[11]和Fan等人(2015)[8]给出了这一挑战的非连续解决方案,而Oleszkiewicz(2008)[23]、Albin(2008)[1]、Baker等人(2006)[4]、Hobson(2013)[14]、Jourdain和Zhou(2020)[16]构建了连续(但非马尔可夫)假布朗运动。相比之下,Gyöngy(1986)[9]、Dupire(1994)[7]以及最终的Lowther(2008)[17]和Lowther(2009)[20]都知道布朗运动是具有一维布朗边际的唯一连续强马尔可夫鞅。我们将此作为一个挑战来构造一个“几乎不假”的布朗运动的例子,也就是说,具有一维布朗边际的连续马尔可夫鞅,只错过了强马尔可夫性质。
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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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