Information Aggregation with Costly Information Acquisition
Spyros Galanis, Sergei Mikhalishchev

TL;DR
This paper examines how costly information acquisition influences the aggregation of information in dynamic trading, revealing that lower costs lead to widespread information aggregation across securities.
Contribution
It introduces the concept of `κ separable securities' to characterize information aggregation and shows the discontinuous transition as acquisition costs decrease.
Findings
Almost all securities become κ separable as costs decrease.
The transition to κ separability is discontinuous, not gradual.
Security classification depends solely on payoff structure.
Abstract
We study information aggregation in a dynamic trading model with partially informed traders. Ostrovsky [2012] showed that `separable' securities aggregate information in all equilibria, however, determining whether a security is separable requires knowing the exact information structure of agents. To remedy this problem, we allow traders to acquire signals with cost , in every period. We show that ` separable securities' characterize information aggregation and, as the cost decreases, almost all securities become separable, irrespective of the traders' initial private information. Moreover, the switch to separability happens not gradually but discontinuously, hence even a small decrease in costs can result in a security aggregating information. We provide a complete classification of securities in terms of how well they aggregate information, which…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
