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Volume 51 Issue 12
January 2020
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    Citation: Da’an HE. Financial Big-data and Big-data for Finance[J]. Academic Monthly, 2019, 51(12): 33-41. shu

    Financial Big-data and Big-data for Finance

    • Abstract

      “Financial big-data” and “big-data for finance” are two concepts with different connotations,for which it’s necessary for us to distinguish the difference between them so that we can find out the information resource which functions in the process of human financial choice-making with structural analysis of the “financial big-data”, so that we can demonstrate the affect brought by the aggregation of the big-data, internet and AI on remodeling the financial behavior, with the dynamic analysis of the “big-data for finance”. As to the big-data for finance, the research and investigation for that, no matter what we focus on-its operation process or application scenario, should involve the analysis of the financial implementation platform and configuration of technical condition, as well as the analysis of the development process of big-data for finance which is driven by artificial intelligence like cloud computing and rote learning. In summary, on the basis of the investigation of the form of the financial big-data, with the research of the big-data for finance, this paper strive to reveal a possible and general mechanism of prospective human choice-making in finance.
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        WANG Qian . AI-Generated Content and Copyright Liability: Paradoxes and Resolutions. Academic Monthly, 2026, 58(8): 118-132.

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        LIN Xifen ,  FU Zhangyi . How Does Public Trust in the Judiciary Shape Acceptability of Judges' AI-assisted Adjudications——An Empirical Study Based on Questionnaire Data. Academic Monthly, 2026, 58(8): 133-144.

      3. [3]

        YU Jianxing ,  LIU Yuxuan . Beyond the Outside Observer: Repositioning the Social Sciences in the Era of Large Language Models. Academic Monthly, 2026, 58(7): 77-89.

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        RAN Gaoran . The Evolution and Game of Property Systems——On the Paradigm Choice for Data Property. Academic Monthly, 2026, 58(7): 117-128.

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        YOU Yang . How Does AI Understand Language Meaning. Academic Monthly, 2026, 58(8): 16-28.

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        HE Da'an ,  LI Huaizheng . Digital Adjustment Mechanism in the Application of Artificial General Intelligence. Academic Monthly, 2026, 58(7): 54-63.

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        WAN Yong ,  LI Yalan . Realizing the Function of Copyright Law in the Era of Artificial Intelligence. Academic Monthly, 2026, 58(7): 104-116.

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        ZHANG Yi . Cognitive Transformation in Historical Research in the Age of AI——“Fluency-Induced Occlusion” in LLM-Assisted Reading of Diplomatic Manuscripts. Academic Monthly, 2026, 58(8): 29-40.

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        XU Xiangdong . Consciousness and The Moral Status of AI Agents. Academic Monthly, 2026, 58(8): 5-15.

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          Financial Big-data and Big-data for Finance

          • Available Online: 2019-12-01

          Abstract: “Financial big-data” and “big-data for finance” are two concepts with different connotations,for which it’s necessary for us to distinguish the difference between them so that we can find out the information resource which functions in the process of human financial choice-making with structural analysis of the “financial big-data”, so that we can demonstrate the affect brought by the aggregation of the big-data, internet and AI on remodeling the financial behavior, with the dynamic analysis of the “big-data for finance”. As to the big-data for finance, the research and investigation for that, no matter what we focus on-its operation process or application scenario, should involve the analysis of the financial implementation platform and configuration of technical condition, as well as the analysis of the development process of big-data for finance which is driven by artificial intelligence like cloud computing and rote learning. In summary, on the basis of the investigation of the form of the financial big-data, with the research of the big-data for finance, this paper strive to reveal a possible and general mechanism of prospective human choice-making in finance.

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