On Robust Fundamental Theorems of Asset Pricing in Discrete Time

IF 1.4 4区 经济学 Q3 BUSINESS, FINANCE SIAM Journal on Financial Mathematics Pub Date : 2024-07-04 DOI:10.1137/23m156032x
Huy N. Chau
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Abstract

SIAM Journal on Financial Mathematics, Volume 15, Issue 3, Page 571-600, September 2024.
Abstract.This paper is devoted to a study of robust fundamental theorems of asset pricing in discrete time and finite horizon settings. Uncertainty is modeled by a (possibly uncountable) family of price processes on the same probability space. Our technical assumption is the continuity of the price processes with respect to uncertain parameters. In this setting, we introduce a new topological framework which allows us to use the classical arguments in arbitrage pricing theory involving Lp spaces, the Hahn–Banach separation theorem, and other tools from functional analysis. The first result is the equivalence of a “no robust arbitrage” condition and the existence of a new “robust pricing system.” The second result shows superhedging dualities and the existence of superhedging strategies without restrictive conditions on payoff functions, in contrast to other related studies. The third result discusses completeness in the present robust setting. When other options are available for static trading, we could reduce the set of robust pricing systems and hence the superhedging prices.
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论离散时间资产定价的稳健基本定理
SIAM 金融数学期刊》,第 15 卷第 3 期,第 571-600 页,2024 年 9 月。 摘要.本文致力于研究离散时间和有限时间跨度背景下资产定价的稳健基本定理。不确定性由同一概率空间上的(可能是不可数的)价格过程族建模。我们的技术假设是价格过程相对于不确定参数的连续性。在这种情况下,我们引入了一个新的拓扑框架,它允许我们使用套利定价理论中涉及 Lp 空间的经典论证、哈恩-巴纳赫分离定理以及函数分析中的其他工具。第一个结果是 "无稳健套利 "条件与新的 "稳健定价系统 "的等价性。第二个结果显示了超级对冲二元性和超级对冲策略的存在,而无需对报酬函数附加限制性条件,这与其他相关研究截然不同。第三个结果讨论了当前稳健设置中的完备性。当静态交易有其他选择时,我们可以减少稳健定价系统的集合,从而减少超级对冲价格。
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来源期刊
SIAM Journal on Financial Mathematics
SIAM Journal on Financial Mathematics MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.30
自引率
10.00%
发文量
52
期刊介绍: SIAM Journal on Financial Mathematics (SIFIN) addresses theoretical developments in financial mathematics as well as breakthroughs in the computational challenges they encompass. The journal provides a common platform for scholars interested in the mathematical theory of finance as well as practitioners interested in rigorous treatments of the scientific computational issues related to implementation. On the theoretical side, the journal publishes articles with demonstrable mathematical developments motivated by models of modern finance. On the computational side, it publishes articles introducing new methods and algorithms representing significant (as opposed to incremental) improvements on the existing state of affairs of modern numerical implementations of applied financial mathematics.
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