Application of Wavelet Analysis in the Financial Field

积极探索小波分析在金融领域的应用，拓展小波分析的应用范围，为金融领域的研究和发展提供新的方法和思路。通过对小波分析在金融领域应用的相关理论进行梳理和总结，明确其在处理金融数据时的优势和适用范围，为研究提供理论指导。本文提到的具体应用，包括：金融时间序列分析、投资组合优化、金融风险管理与异常检测等方面的应用。Actively explore the application of wavelet analysis in the financial field, expand the application scope of wavelet analysis, and provide new methods and ideas for the research and development of the financial field. By sorting out and summarizing the relevant theories of wavelet analysis in the financial field, the advantages and scope of application of wavelet analysis in processing financial data are clarified, so as to provide theoretical guidance for the research. The specific applications mentioned in this article include: financial time series analysis, portfolio optimization, financial risk management and anomaly detection.