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来源类型Working Paper
规范类型报告
DOI10.3386/w25210
来源IDWorking Paper 25210
Identifying Price Informativeness
Eduardo Dávila; Cecilia Parlatore
发表日期2018-11-05
出版年2018
语种英语
摘要We show that outcomes (parameter estimates and R-squareds) of regressions of prices on fundamentals allow us to recover exact measures of the ability of asset prices to aggregate dispersed information. Formally, we show how to recover absolute and relative price informativeness in dynamic environments with rich heterogeneity across investors (regarding signals, private trading needs, or preferences), minimal distributional assumptions, multiple risky assets, and allowing for stationary and non-stationary asset payoffs. We implement our methodology empirically, finding stock-specific measures of price informativeness for U.S. stocks. We find a right-skewed distribution of price informativeness, measured in the form of the Kalman gain used by an external observer that conditions its posterior belief on the asset price. The recovered mean and median are 0.05 and 0.02 respectively. We find that price informativeness is higher for stocks with higher market capitalization and higher trading volume.
主题Microeconomics ; Economics of Information ; Financial Economics ; Financial Markets
URLhttps://www.nber.org/papers/w25210
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/582884
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GB/T 7714
Eduardo Dávila,Cecilia Parlatore. Identifying Price Informativeness. 2018.
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