Symbolic Modeling for financial asset pricing

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@Article{Zuo:2025:jfds,

• author = "Xiangwu Zuo and Anxiao (Andrew) Jiang",
• title = "Symbolic Modeling for financial asset pricing",
• journal = "The Journal of Finance and Data Science",
• year = "2025",
• volume = "11",
• pages = "100150",
• keywords = "genetic algorithms, genetic programming, Symbolic regression, Symbolic modeling, Financial data, Asset pricing, Deep learning, ANN",
• ISSN = "2405-9188",
• URL = "https://www.sciencedirect.com/science/article/pii/S2405918825000029",
• DOI = "doi:10.1016/j.jfds.2025.100150",
• abstract = "Symbolic Modeling' in this work, can be seen as a generalisation of Symbolic Regression and has important applications to both academia and industry. This work elucidates Symbolic Modeling and unveils a cutting-edge algorithm, deriving its principles from deep learning and genetic programming. This algorithm is implemented into an application, showcasing its practical utility in the field of financial asset pricing, an integral facet of finance that concentrates on asset valuation. It is shown that Symbolic Modeling compares favorably to existing asset pricing models in multiple aspects",

}

Genetic Programming entries for Xiangwu Zuo Anxiao (Andrew) Jiang

Citations