Richard Lowery
Richard Lowery
Published and Forthcoming Papers
Prediction Markets: Alternative Mechanisms for Complex
Environments with Few Traders (With PJ
Healy, John Ledyard, and Sera Linardi), Management
Science, November 2010
Abstract: Double auction prediction markets have proven
successful in large-scale applications such as elections and
sporting events. Consequently, several large corporations
have adopted these markets for smaller-scale
internal applications where information may be complex and
the number of traders is small. Using laboratory
experiments, we test the performance of the double auction
in complex environments with few traders and
compare it to three alternative mechanisms. When information
is complex we find that an iterated poll (or
Delphi method) outperforms the double auction mechanism. We
present five behavioral observations that may
explain why the poll performs better in these settings.
Financial Expertise as an Arms Race (with Vincent Glode and
Rick Green), Forthcoming, Journal of Finance, October
2012
Abstract:
We show that firms intermediating trade have incentives to
overinvest in financial expertise, and that these
investments can be destabilizing. Financial expertise in our
model improves firms' ability to estimate value when trading
a security. It creates adverse selection, which under normal
circumstances works to the advantage of the expert. It
deters opportunistic bargaining by counterparties. That
advantage is neutralized in equilibrium, however, by
offsetting investments competitors make. Moreover, when
volatility rises the adverse selection created by expertise
triggers breakdowns in liquidity, destroying gains to trade
and thus the benefits that firms hope to gain through high
levels of expertise.
Trading Complex Assets (with Bruce Carlin and Shimon Kogan),
Forthcoming, Journal of Finance
Abstract:
We perform an experimental study to assess the effect of
complexity on asset trading. We find that higher complexity
leads to increased price volatility, lower liquidity, and
decreased trade efficiency especially when repeated
bargaining takes place. However, the channel through which
complexity acts is not simply due to the added noise induced
by estimation error. Rather, complexity alters the bidding
strategies used by traders, making them more reticent to
trade, even when we control for estimation error across
treatments. As such, it appears that adverse selection plays
an important role in explaining the trading abnormalities
caused by complexity.
Working Papers
The Pricing of IPO Services and Issues: Theory and Estimation (with Ari Kang)
Compensating Financial Experts (with Vincent Glode)
Agency Costs, Information, and the Structure of Corporate Debt Covenants (with Malcolm Wardlaw)
Complex Securities and Underwriter Reputation: Do Reputable Underwriters Produce Better Securities? (with John Griffin and Alessio Saretto)
Bargaining with Asymmetric Costs for Information (with Vincent Glode)
Work in Progress
Bank Failures and Regulatory
Incentives: A Structural Estimation (with Ari Kang and Malcolm
Wardlaw)

Assistant Professor of Finance
McCombs School of Business, U.T. Austin
Research Interests
Corporate Finance, Financial
Intermediation, Experimental Economics
Contact Information
McCombs School of Business
University of Texas at Austin
1 University Station; B6600
Austin, TX 78712