透過您的圖書館登入
IP:18.220.11.34
  • 期刊

Detection of Abnormal Stock Price Volatility Based on Wavelet Analysis

並列摘要


The premise of real-time monitoring on abnormal stock price volatility of listed companies is the real-time detection. As the wavelet analysis has the good spatial locality in dealing with non-stable signal, in this paper, we established a method of using wavelet analysis to detect the abnormal stock price signal, which has been through db5 wavelet de-nosing. The test results of target companies showed that wavelet analysis is practical in the detection of abnormal stock price volatility.

參考文獻


Rua, A.,Nunes, L.C.(2009).International comovement of stock market returns: A wavelet analysis.Journal of Empirical Finance.16(4),632-639.
Zhang, D.F.(2009).MATLAB wavelet analysis.Machinery Industry Press.
Daubechies(1992).Ten lectures on wavelets.Philadelphia:SIAM.
Ramsey, J.B.,Usikov, D.,Zaslavsky, G.M.(1995).An analysis of us stock price behavior using wavelets.Fractals.35(3),377-389.
Liang, J.(2007).The reaction of stock market to the high-frequency data.Journal of Financial Research.12,165-178.

延伸閱讀