Large-Scale Multiple Testing without Data Snooping BiasMethods and Applications

来源 :2009 International Conference on Financial Statistics and Fi | 被引量 : 0次 | 上传用户:qf125228
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  In the finance literature,statistical inferences for large-scale multiple testing problems usually suffer from data snooping bias.In this talk we will discuss recently proposed tests that are free from such bias,including the Reality Check (RC) test of White (2000,Econometric),the superior predictive ability (SPA) test of Hansen (2005,JBES),and their stepwise versions of Romano and Wolf (2005,Econometric) and Hsu,Hsu,and Kuan (2009).
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