Bayesian Unit Root Testing for Financial Time Series
In times series analysis, unit root test is one of most important research topics. For time series data generated by autoregressive process, we propose a new and simple Bayesian approach for unit root testing based on Bays factor and powerful path sampling (Gelman & Meng, 1998). A real example is illustrated to show the effectiveness of our proposed approach.
unit root test autoregressive process bays factor path sampling
WANG Guiyin ZHANG Jingyu LI Yong
School of Business, Sun Yat-Sen University, Guangzhou, P.R.China, 510275 School of Software, Nanjing University, Nanjing, P.R.China, 210000
国际会议
威海
英文
517-521
2010-07-24(万方平台首次上网日期,不代表论文的发表时间)