G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w27257
来源IDWorking Paper 27257
Robust Identification of Investor Beliefs
Xiaohong Chen; Lars P. Hansen; Peter G. Hansen
发表日期2020-06-01
出版年2020
语种英语
摘要This paper develops a new method informed by data and models to recover information about investor beliefs. Our approach uses information embedded in forward-looking asset prices in conjunction with asset pricing models. We step back from presuming rational expectations and entertain potential belief distortions bounded by a statistical measure of discrepancy. Additionally, our method allows for the direct use of sparse survey evidence to make these bounds more informative. Within our framework, market-implied beliefs may differ from those implied by rational expectations due to behavioral/psychological biases of investors, ambiguity aversion, or omitted permanent components to valuation. Formally, we represent evidence about investor beliefs using a novel nonlinear expectation function deduced using model-implied moment conditions and bounds on statistical divergence. We illustrate our method with a prototypical example from macro-finance using asset market data to infer belief restrictions for macroeconomic growth rates.
主题Macroeconomics ; Consumption and Investment ; Money and Interest Rates ; Financial Economics ; Portfolio Selection and Asset Pricing ; Financial Markets ; Behavioral Finance
URLhttps://www.nber.org/papers/w27257
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/584928
推荐引用方式
GB/T 7714
Xiaohong Chen,Lars P. Hansen,Peter G. Hansen. Robust Identification of Investor Beliefs. 2020.
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
w27257.pdf(663KB)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
[Lars P. Hansen]的文章
[Peter G. Hansen]的文章
百度学术
百度学术中相似的文章
[Xiaohong Chen]的文章
[Lars P. Hansen]的文章
[Peter G. Hansen]的文章
必应学术
必应学术中相似的文章
[Xiaohong Chen]的文章
[Lars P. Hansen]的文章
[Peter G. Hansen]的文章
相关权益政策
暂无数据
收藏/分享
文件名: w27257.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。