The study on the investor behaviors and its influencing factors of sustainable financial products by big data analysis algorithms

Ruotong Ye; Weilun Huang

doi:10.1117/12.2669990

1 June 2023 The study on the investor behaviors and its influencing factors of sustainable financial products by big data analysis algorithms

Ruotong Ye, Weilun Huang

Author Affiliations +

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126250D (2023) https://doi.org/10.1117/12.2669990
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

The literature review and expert interviews show that in recent years, China has actively participated in international cooperation on sustainable finance, adopted global sustainable finance principles and developed more inclusive global sustainable finance principles in line with China's actual situation. The purpose of this paper is to use the methods of big data analysis algorithms and questionnaire survey to analyze the investor behaviour of sustainable financial products (IBSFP) and its influencing factors. IBSFP includes the investment frequency of sustainable financial products (IFSFP) and the investment amount of sustainable financial products (IASFP). The content cognition of sustainable financial products (CCSFP), the advantage cognition of sustainable financial products (CASFP), the disadvantage cognition of sustainable financial products (CDSFP), the cognition of sustainable financial policy's advantages (CSFPA) and the cognition of sustainable financial policy's disadvantages (CSFPD) are the main reasons affecting the purchase of sustainable financial products. Through the analysis of variance and analysis of correlation, CCSFP, CASFP, CDSFP, CSFPA and CSFPD had a significant positive effect on IFSFP and IASFP purchased by financial consumers. Through independent sample t-Test occupation significantly influences IFSFP, CCSFP and CSFPD. Age, education, and annual income significantly affected CCSFP, CASFP, CDSFP, CSFPA and CSFPD. Use analysis of regression to get two formulas.

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Ruotong Ye and Weilun Huang "The study on the investor behaviors and its influencing factors of sustainable financial products by big data analysis algorithms", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126250D (1 June 2023); https://doi.org/10.1117/12.2669990

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KEYWORDS

Sustainability

Industry

Data analysis

Statistical analysis

Cognition

Lithium

Standards development

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