ADF检验判断股价是否随机游走

从tushare上下载'002337'的数据

import tushare as ts

data = ts.get_h_data('002337')
data.to_csv('e:/stockData/002337.csv')

做ADF Test:

import pandas as pd
import statsmodels.tsa.stattools as ts

x = pd.read_csv('e:/stockData/002337.csv', encoding='utf-8', index_col='date')
result = ts.adfuller(x.open, 1)
print(result)

ADF检验结果

ADF Test Statistic    -0.60992263732190832
p-value    0.8687241171140645
#Lags Used    1
Number of Observations Used    242
Critical Value(1%)    -3.4576641321552009
Critical Value(5%)     -2.8735585105960224
Critical Value(10%)    -2.5731749894132916

p-value要小于0.05.等于0是最好的。平稳性好,非随机游走,可统计套利。

ADF Test Statistic要小于Critical Value,小于1%时平稳性最好,5%次之,依次类推。

如果ADF Test Statistic大于三个Critical Value,说明股价是随机游走的,无法进行统计套利,要寻找投资组合。

几篇文章http://www.cnblogs.com/foley/p/5582358.html

http://blog.sina.com.cn/s/blog_7439e81e0102vh59.html

posted @ 2017-10-06 00:32  imageSet  阅读(1258)  评论(0编辑  收藏  举报