方法证据记录
Wavelet Financial Analysis
Wavelet financial analysis decomposes a financial time series into different frequency bands (time scales) so short- and long-term relationships can be studied at the same time. Drawing on the treatments of Gençay, Selçuk and Whitcher (2001) and Aguiar-Conraria and Soares (2014), wavelet coherence then visualises how the relationship between two series shifts across both time and frequency.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Wavelet Analysis of Financial Time Series
分类方法记录 · regression-model / finance
- Gençay, R., Selçuk, F. & Whitcher, B. (2001). An Introduction to Wavelets and Other Filtering Methods in Finance and Economics. Academic Press. · DOI 10.1016/b978-012279670-8.50004-5
- Aguiar-Conraria, L. & Soares, M.J. (2014). The Continuous Wavelet Transform: Moving Beyond Uni- and Bivariate Analysis. Journal of Economic Surveys, 28(2), 344-375. · DOI 10.1111/joes.12012
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。