摘要翻译:
多重检验困扰着金融学中的许多重要问题,如资金选择和因子选择。我们提出了一种校准I型和II型误差的新方法。接下来,使用双引导方法,我们建立了一个与特定错误发现率(例如5%)相关联的t-统计量障碍。我们还建立了一个障碍,它与一定的可接受的未发现与错误发现的比率(第二类错误与第一类错误的比例)相关联,它有效地允许两类错误的不同代价。评估目前的方法,我们发现他们缺乏力量,以发现优秀的经理。
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英文标题:
《False (and Missed) Discoveries in Financial Economics》
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作者:
Campbell R. Harvey and Yan Liu
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最新提交年份:
2020
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分类信息:
一级分类:Statistics 统计学
二级分类:Methodology 方法论
分类描述:Design, Surveys, Model Selection, Multiple Testing, Multivariate Methods, Signal and Image Processing, Time Series, Smoothing, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods
设计,调查,模型选择,多重检验,多元方法,信号和图像处理,时间序列,平滑,空间统计,生存分析,非参数和半参数方法
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一级分类:Economics 经济学
二级分类:Econometrics 计量经济学
分类描述:Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论,微观计量经济学,宏观计量经济学,通过新方法发现的经济关系的实证内容,统计推论应用于经济数据的方法论方面。
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英文摘要:
Multiple testing plagues many important questions in finance such as fund and factor selection. We propose a new way to calibrate both Type I and Type II errors. Next, using a double-bootstrap method, we establish a t-statistic hurdle that is associated with a specific false discovery rate (e.g., 5%). We also establish a hurdle that is associated with a certain acceptable ratio of misses to false discoveries (Type II error scaled by Type I error), which effectively allows for differential costs of the two types of mistakes. Evaluating current methods, we find that they lack power to detect outperforming managers.
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PDF链接:
https://arxiv.org/pdf/2006.04269


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