摘要
文本运用小波分析对金融时间序列—HS300股票指数收盘价进行挖掘,首先利用db3正交小波基对数据进行进行去噪处理,然后对去噪后的数据与原数据做波动率对比分析,寻找出隐藏在金融时间序列背后的股票市场中的机会与风险。
In this paper,the Wavelet theory is used to analyze financial time series-HS300 stock index closing price. Firstly,the data is decomposed by db3 orthogonal wavelet basis. Then a comparative analysis of volatility of the original data with the reconstructed data is made. Finally,the market opportunities and risks hiding behind the financial time series data are discovered according to comparative analysis.
出处
《乐山师范学院学报》
2015年第4期55-58,共4页
Journal of Leshan Normal University
关键词
小波分析
金融时间序列
波动率
去噪
Wavelet Analysis
Financial Time Series Volatility
Denoise