G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w19969
来源IDWorking Paper 19969
Estimating the Risk-Return Trade-off with Overlapping Data Inference
Esben Hedegaard; Robert J. Hodrick
发表日期2014-03-13
出版年2014
语种英语
摘要Asset pricing models such as the conditional CAPM are typically estimated with MLE using a monthly or quarterly horizon with data sampled to match the horizon even though daily data are available. We develop an overlapping data inference methodology (ODIN) that uses all of the data while maintaining the monthly or quarterly forecasting period, and we apply it to the conditional CAPM. Our approach recognizes that the first order conditions of MLE can be used as orthogonality conditions of GMM. Using historical data, we find considerable differences in the estimates from the non-overlapping samples that begin on different days.
主题Financial Economics ; Portfolio Selection and Asset Pricing
URLhttps://www.nber.org/papers/w19969
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/577643
推荐引用方式
GB/T 7714
Esben Hedegaard,Robert J. Hodrick. Estimating the Risk-Return Trade-off with Overlapping Data Inference. 2014.
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