Halbert White Jr. Memorial JFEC Lecture: Pitfalls and Possibilities in Predictive Regression

Financial theory and econometric methodology both struggle in formulating models that are logically sound in reconciling short-run martingale behavior for financial assets with predictable long-run behavior, leaving much of the research to be empirically driven. The present article overviews recent...

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主要作者: Peter C. B. PHILLIPS
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2015
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在線閱讀:https://ink.library.smu.edu.sg/soe_research/1864
https://ink.library.smu.edu.sg/context/soe_research/article/2864/viewcontent/Pitfalls_av.pdf
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機構: Singapore Management University
語言: English
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總結:Financial theory and econometric methodology both struggle in formulating models that are logically sound in reconciling short-run martingale behavior for financial assets with predictable long-run behavior, leaving much of the research to be empirically driven. The present article overviews recent contributions to this subject, focusing on the main pitfalls in conducting predictive regression and on some of the possibilities offered by modern econometric methods. The latter options include indirect inference and techniques of endogenous instrumentation that use convenient temporal transforms of persistent regressors. Some additional suggestions are made for bias elimination, quantile crossing amelioration, and control of predictive model misspecification.