Demand for Information and Asset Pricing
Author(s) -
Azi Ben-Rephael,
Bruce Carlin,
Zhi Da,
Ryan D. Israelsen
Publication year - 2017
Publication title -
econometric modeling: capital markets - portfolio theory ejournal
Language(s) - English
Resource type - Reports
DOI - 10.3386/w23274
Subject(s) - consumption based capital asset pricing model , capital asset pricing model , asset (computer security) , business , economics , financial economics , computer science , computer security
Previously, academics have used the supply of information that arrives to market (e.g., macroeconomic announcements, earnings reports, or news releases) to study how information affects asset prices and anomalies, and for tests of market efficiency. In this paper, we instead use measures of institutional and retail demand for information. We show that institutional demand for information is associated with increased trading volume and significant price movements. Average returns and betas are higher on days with higher institutional demand for information. The magnitude of these effects is much larger than those associated with the supply of news. However, the impact of demand for information from retail investors, while statistically significant, is quite small in magnitude. We also show that higher institutional demand alleviates mispricing in the market. In particular, higher information processing by institutional investors dampens momentum and enhances long-term reversals. As such, when demand for information increases, the market becomes more efficient.
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