G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w10503
来源IDWorking Paper 10503
Land of Addicts? An Empirical Investigation of Habit-Based Asset Pricing Behavior
Xiaohong Chen; Sydney C. Ludvigson
发表日期2004-05-24
出版年2004
语种英语
摘要This paper studies the ability of a general class of habit-based asset pricing models to match the conditional moment restrictions implied by asset pricing theory. We treat the functional form of the habit as unknown, and to estimate it along with the rest of the model's finite dimensional parameters. Using quarterly data on consumption growth, assets returns and instruments, our empirical results indicate that the estimated habit function is nonlinear, the habit formation is better described as internal rather than external, and the estimated time-preference parameter and the power utility parameter are sensible. In addition, the estimated habit function generates a positive stochastic discount factor (SDF) proxy and performs well in explaining cross-sectional stock return data . We find that an internal habit SDF proxy can explain a cross-section of size and book-market sorted portfolio equity returns better than (i) the Fama and French (1993) three-factor model, (ii) Lettau and Ludvigson (2001) scaled consumption CAPM model, (iii) an external habit SDF proxy, (iv) the classic CAPM, and (v) the classic consumption CAPM.
主题Financial Economics ; Financial Markets
URLhttps://www.nber.org/papers/w10503
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/568132
推荐引用方式
GB/T 7714
Xiaohong Chen,Sydney C. Ludvigson. Land of Addicts? An Empirical Investigation of Habit-Based Asset Pricing Behavior. 2004.
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
w10503.pdf(608KB)智库出版物 限制开放CC BY-NC-SA浏览
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xiaohong Chen]的文章
[Sydney C. Ludvigson]的文章
百度学术
百度学术中相似的文章
[Xiaohong Chen]的文章
[Sydney C. Ludvigson]的文章
必应学术
必应学术中相似的文章
[Xiaohong Chen]的文章
[Sydney C. Ludvigson]的文章
相关权益政策
暂无数据
收藏/分享
文件名: w10503.pdf
格式: Adobe PDF
此文件暂不支持浏览

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。