Saturday, Jan. 4, 2020 8:00 AM - 10:00 AM (PDT)
- Chair: Laura Veldkamp, Columbia University
Information Cascade and Threshold Implementation
AbstractEconomic activities such as crowdfunding often involve sequential interactions, observational learning, and project implementation contingent on achieving certain thresholds of support. We incorporate endogenous all-or-nothing thresholds in a classic model of information cascade. We find that early supporters tap the wisdom of a later "gate-keeper" and effectively delegate their decisions, leading to uni-directional cascades and preventing agents' herding on rejections. Consequently, entrepreneurs or project proposers can charge supporters higher fees, and proposal feasibility, project selection, and information production all improve, even when agents have the option to wait. Novel to the literature, equilibrium outcomes depend on the crowd size, and in the limit, efficient project implementation and full information aggregation ensue.
Clients’ Connections: Measuring the Role of Private Information in Decentralised Markets
AbstractWe propose a new measure of private information in decentralised markets – connections – defined as the number of dealers with whom a client trades in a time period. Using proprietary data for the UK government bond market, we show that clients have systematically better performance when having more connections, and this effect is stronger during macroeconomic announcements. Time-variation in market-wide connections also helps explain yield dynamics. Given our novel measure, we present two applications suggesting that (i) dealers pass on information, acquired from their informed clients, to their subsidiaries, and (ii) informed clients better predict the order-flow intermediated by their dealers.
- G1 - General Financial Markets