| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w3001 |
| 来源ID | Working Paper 3001 |
| Data-Snooping Biases in Tests of Financial Asset Pricing Models | |
| Andrew W. Lo; A. Craig MacKinlay | |
| 发表日期 | 1989-06-01 |
| 出版年 | 1989 |
| 语种 | 英语 |
| 摘要 | We investigate the extent to which tests of financial asset pricing models may be biased by using properties of the data to construct the test statistics. Specifically, we focus on tests using returns to portfolios of common stock where portfolios are constructed by sorting on some empirically motivated characteristic of the securities such as market value of equity. We present both analytical calculations and Monte Carlo simulations that show the effects of this type of data-snooping to be substantial. Even when the sorting characteristic is only marginally correlated with individual security statistics, 5 percent tests based on sorted portfolio returns may reject with probability one under the null hypothesis. This bias is shown to worsen as the number of securities increases given a fixed number of portfolios, and as the number of portfolios decreases given a fixed number of securities. We provide an empirical example that illustrates the practical relevance of these biases. |
| 主题 | Financial Economics ; Econometrics |
| URL | https://www.nber.org/papers/w3001 |
| 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/560276 |
| 推荐引用方式 GB/T 7714 | Andrew W. Lo,A. Craig MacKinlay. Data-Snooping Biases in Tests of Financial Asset Pricing Models. 1989. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w3001.pdf（518KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
