Publication Type
Working Paper
Version
publishedVersion
Publication Date
1-2024
Abstract
We study how investors, firms, and information sellers interact in a market with manipulable information. To better predict the firm characteristics they care about, investors can buy a score from a monopolistic information seller, which aggregates signals that are subject to firm manipulation. The average degree of signal manipulability has no effect on the equilibrium, while the uncertainty about manipulability becomes a new source of noise. Its contribution depends on firms' incentive to manipulate the signals, which in turn depends on the equilibrium price sensitivity to the score. The optimal design of the score weighs signal precision against the endogenous uncertainty due to manipulation. The introduction of mandate investors, who care about the scores on the characteristics and not the characteristics themselves, generates an incentive for information sellers to inflate the scores. When applied to green investing, our model implies that the effectiveness of impact investing on the cost of capital could actually decline as the fraction of green investors or the strength of the mandate keeps rising, because they generate stronger incentives for manipulation.
Keywords
information market, manipulation, score design, ratings, impact investing
Discipline
Finance | Finance and Financial Management
Research Areas
Finance
First Page
1
Last Page
96
Identifier
10.2139/ssrn.4712430
Publisher
SSRN
Citation
CHEN, Hui and SUN, Jian.
Market for manipulable information. (2024). 1-96.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7489
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.2139/ssrn.4712430