The role of big data in the secondary market

Xiaozhuo Pan

doi:10.54254/2755-2721/92/20241704

Research Article

Open access

Published on 10 September 2024

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Pan,X. (2024).The role of big data in the secondary market.Applied and Computational Engineering,92,6-11.

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The role of big data in the secondary market

Xiaozhuo Pan *^,1,

¹ Vanke Meisha Academy

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/92/20241704

Abstract

With the rapid development of information technology, Big Data has emerged as one of the important characteristics of the contemporary era. In the secondary market, the application of Big Data is increasingly widespread, which has a profound impact on market structure, trading patterns, and investment decisions. This paper aims to explore the utilization of Big Data in the secondary market, including data analysis techniques, enhancement of decision efficiency, augmentation of market transparency, and innovation in risk management practices while discussing the drawbacks of using Big Data. Then, the study focuses on how to improve and enhance the application of big data in the secondary market in the future. The findings underscore that Big Data plays an instrumental role in shaping the dynamics of the secondary market, this is predominantly manifested in the prediction of stock market trends, the assessment of investment risks, and so on. However, certain challenges persist. Continual development and improvement of Big Data can facilitate more informed investment decision-making.

Keywords

Secondary market, big data, investment, data analysis

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Cite this article

Pan,X. (2024).The role of big data in the secondary market.Applied and Computational Engineering,92,6-11.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 6th International Conference on Computing and Data Science

Conference website: https://2024.confcds.org/

ISBN：978-1-83558-595-5(Print) / 978-1-83558-596-2(Online)

Conference date: 12 September 2024

Editor：Alan Wang, Roman Bauer

Series: Applied and Computational Engineering

Volume number: Vol.92

ISSN：2755-2721(Print) / 2755-273X(Online)

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