Title :
Applications of Ensemble Empirical mode decomposition to stock-futures basis analysis
Author :
Sun, Jingliang ; Sheng, Huanye
Author_Institution :
Dept. of Comput. Sci. & Technol., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In rational, efficiently functioning markets, the returns on stock index and stock index futures contracts should be perfectly, contemporaneously correlated. But in the first two month, Chinese stock index futures contracts exhibited persistent departures from fair price, offering potentially profitable arbitrage opportunities. In this paper, we examine the stock-futures basis of CSI 300 recorded every 5 min over the period from April 16, 2010 to June 10, 2010 (1872 total data points). Ensemble Empirical mode decomposition (EEMD) is a time-frequency analysis method which has been developed and widely used for non-stationary and non-linear time series analysis. In the present study, we apply the EEMD to analyze the stock-futures basis series. As a result, we extract a monotonic decreasing trends from the series which implies the market becomes more and more efficient.
Keywords :
stock markets; time series; time-frequency analysis; CSI 300; Chinese stock index futures contracts; ensemble empirical mode decomposition; fair price; monotonic decreasing trend; nonlinear time series analysis; nonstationary time series analysis; potentially profitable arbitrage opportunities; stock-futures basis series; time-frequency analysis method; Band pass filters; Contracts; Indexes; Time frequency analysis; Time series analysis; Transforms; White noise; ensemble empirical mode decomposition; financial time series; non-stationary; stock index futures;
Conference_Titel :
Information and Financial Engineering (ICIFE), 2010 2nd IEEE International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-6927-7
DOI :
10.1109/ICIFE.2010.5609386