随机维市场中的套利理论

IF 1.6 3区 经济学 Q3 BUSINESS, FINANCE Mathematical Finance Pub Date : 2023-09-01 DOI:10.1111/mafi.12418
Erhan Bayraktar, Donghan Kim, Abhishek Tilva
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引用次数: 0

摘要

本文研究了一个随机维度的股票市场,其中资产数量随时间波动。在这样的市场中,我们发展了资产定价的基本定理,该定理等价于以下命题:(1)存在一个上鞅numsamingale投资组合;(ii)每一个在维度跳跃之间具有固定维度的细分市场,在局部具有有限增长;(三)不存在第一种套利;(iv)存在本地边际平减指数;(v)市场是可行的。我们还提出了可选分解定理,该定理将给定的非负过程表征为某种投资-消费策略的财富过程。此外,在嵌入整个随机维度市场的公开市场中,投资者只能投资固定数量的大市值股票,同样的结果也成立。这些结果是在一个股票市场模型中得到的,其中价格过程由随机维的分段连续半鞅给出。没有对价格过程的连续性假设,我们提出了类似的结果,但没有明确的表征的numsamraire投资组合。
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Arbitrage theory in a market of stochastic dimension

This paper studies an equity market of stochastic dimension, where the number of assets fluctuates over time. In such a market, we develop the fundamental theorem of asset pricing, which provides the equivalence of the following statements: (i) there exists a supermartingale numéraire portfolio; (ii) each dissected market, which is of a fixed dimension between dimensional jumps, has locally finite growth; (iii) there is no arbitrage of the first kind; (iv) there exists a local martingale deflator; (v) the market is viable. We also present the optional decomposition theorem, which characterizes a given nonnegative process as the wealth process of some investment-consumption strategy. Furthermore, similar results still hold in an open market embedded in the entire market of stochastic dimension, where investors can only invest in a fixed number of large capitalization stocks. These results are developed in an equity market model where the price process is given by a piecewise continuous semimartingale of stochastic dimension. Without the continuity assumption on the price process, we present similar results but without explicit characterization of the numéraire portfolio.

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来源期刊
Mathematical Finance
Mathematical Finance 数学-数学跨学科应用
CiteScore
4.10
自引率
6.20%
发文量
27
审稿时长
>12 weeks
期刊介绍: Mathematical Finance seeks to publish original research articles focused on the development and application of novel mathematical and statistical methods for the analysis of financial problems. The journal welcomes contributions on new statistical methods for the analysis of financial problems. Empirical results will be appropriate to the extent that they illustrate a statistical technique, validate a model or provide insight into a financial problem. Papers whose main contribution rests on empirical results derived with standard approaches will not be considered.
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