Information aggregation in a financial market with general signal structure

A-Tier
Journal: Journal of Economic Theory
Year: 2019
Volume: 183
Issue: C
Pages: 594-624

Authors (5)

Lou, Youcheng (not in RePEc) Parsa, Sahar (not in RePEc) Ray, Debraj (New York University (NYU)) Li, Duan (not in RePEc) Wang, Shouyang (not in RePEc)

Score contribution per author:

0.804 = (α=2.01 / 5 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We study a financial market with asymmetric, multidimensional trader signals that have general correlation structure. Each of a continuum of traders belongs to one of finitely many “information groups.” There is a multidimensional aggregate signal for each group. Each trader observes an idiosyncratic signal about the fundamental, built from this group signal. Correlations across group signals are arbitrary. Several existing models serve as special cases, and new applications become possible. We establish existence and regularity of linear equilibrium, and demonstrate that the equilibrium price aggregates information perfectly as noise trade vanishes.

Technical Details

RePEc Handle
repec:eee:jetheo:v:183:y:2019:i:c:p:594-624
Journal Field
Theory
Author Count
5
Added to Database
2026-01-29