Advances in Economics, Management and Political Sciences
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Proceedings of the 2023 International Conference on Management Research and Economic Development
Series Vol. 25 , 13 September 2023
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Quantitative Analysis in Finance: Leveraging Statistical Methods for Improved Investment Decisions
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Abstract
Since modern times, with the vigorous development of the financial market, the explanation of some complex finan-cial phenomena can no longer be based on the qualitative analysis of the subjective judgment, but on the quantitative analysis of statistical models. This paper first analyzes and demonstrates the application and importance of statistics in the financial field from three perspectives of risk quantifi-cation, price prediction as well as portfolio optimization. Secondly, this paper points out that the traditional statisti-cal theory cannot meet the current practical needs in the above three aspects, and lists a series of relevant studies. Finally, this paper gives some possible solutions to the cur-rent problem based on existing research and personal un-derstanding and evaluates some existing solutions. The re-search conclusion of this paper is expected to provide a reference for the practical application of statistics in the fi-nancial field and provide some possible ideas for the re-search direction of related interdisciplinary.
Keywords
statistics, finance, risk quantification, price forecast, portfolio optimization
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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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- Volume Title
- Proceedings of the 2023 International Conference on Management Research and Economic Development
- ISBN (Print)
- 978-1-915371-93-5
- ISBN (Online)
- 978-1-915371-94-2
- Published Date
- 13 September 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/25/20230478
- Copyright
- 13 September 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited