A financial market with singular drift and no arbitrage.

IF 10.1 1区 管理学 Q1 BUSINESS Journal of the Academy of Marketing Science Pub Date : 2021-01-01 Epub Date: 2020-11-25 DOI:10.1007/s11579-020-00284-9
Nacira Agram, Bernt Øksendal
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Abstract

We study a financial market where the risky asset is modelled by a geometric Itô-Lévy process, with a singular drift term. This can for example model a situation where the asset price is partially controlled by a company which intervenes when the price is reaching a certain lower barrier. See e.g. Jarrow and Protter (J Bank Finan 29:2803-2820, 2005) for an explanation and discussion of this model in the Brownian motion case. As already pointed out by Karatzas and Shreve (Methods of Mathematical Finance, Springer, Berlin, 1998) (in the continuous setting), this allows for arbitrages in the market. However, the situation in the case of jumps is not clear. Moreover, it is not clear what happens if there is a delay in the system. In this paper we consider a jump diffusion market model with a singular drift term modelled as the local time of a given process, and with a delay θ>0 in the information flow available for the trader. We allow the stock price dynamics to depend on both a continuous process (Brownian motion) and a jump process (Poisson random measure). We believe that jumps and delays are essential in order to get more realistic financial market models. Using white noise calculus we compute explicitly the optimal consumption rate and portfolio in this case and we show that the maximal value is finite as long as θ>0. This implies that there is no arbitrage in the market in that case. However, when θ goes to 0, the value goes to infinity. This is in agreement with the above result that is an arbitrage when there is no delay. Our model is also relevant for high frequency trading issues. This is because high frequency trading often leads to intensive trading taking place on close to infinitesimal lengths of time, which in the limit corresponds to trading on time sets of measure 0. This may in turn lead to a singular drift in the pricing dynamics. See e.g. Lachapelle et al. (Math Finan Econom 10(3):223-262, 2016) and the references therein.

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单一漂移、无套利的金融市场。
我们研究的是一个金融市场,在这个市场中,风险资产是以几何伊托-莱维过程为模型,并带有一个奇异的漂移项。例如,这可以模拟这样一种情况,即资产价格部分由一家公司控制,该公司在价格达到某个下限时进行干预。参见 Jarrow 和 Protter (J Bank Finan 29:2803-2820, 2005) 对布朗运动情况下该模型的解释和讨论。正如 Karatzas 和 Shreve(Methods of Mathematical Finance,Springer,Berlin,1998 年)所指出的(在连续的情况下),这允许在市场上进行套利。然而,跳跃情况下的情况并不清楚。此外,如果系统中存在延迟,会发生什么情况也不清楚。在本文中,我们考虑了一个跳跃式扩散市场模型,该模型中的奇异漂移项被模拟为给定过程的局部时间,且交易者可获得的信息流中存在延迟 θ>0。我们允许股价动态取决于连续过程(布朗运动)和跳跃过程(泊松随机测量)。我们认为,跳跃和延迟对于获得更真实的金融市场模型至关重要。我们利用白噪声微积分明确计算了这种情况下的最优消费率和投资组合,并证明只要θ>0,最大值就是有限的。然而,当 θ 变为 0 时,最大值将变为无穷大。这与上述结果一致,即在无延迟时存在套利。我们的模型也适用于高频交易问题。这是因为高频交易通常会导致在接近无限小的时间长度上进行密集交易,在极限情况下,这相当于在度量为 0 的时间集上进行交易。参见 Lachapelle 等人(Math Finan Econom 10(3):223-262, 2016)及其中的参考文献。
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来源期刊
CiteScore
30.00
自引率
7.10%
发文量
82
期刊介绍: JAMS, also known as The Journal of the Academy of Marketing Science, plays a crucial role in bridging the gap between scholarly research and practical application in the realm of marketing. Its primary objective is to study and enhance marketing practices by publishing research-driven articles. When manuscripts are submitted to JAMS for publication, they are evaluated based on their potential to contribute to the advancement of marketing science and practice.
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