Assistant Professor of Finance, The Wharton School, University of Pennsylvania
2017 Stanford University, Ph.D. in Statistics, Ph.D. Minor in Economics
2011 Ecole Polytechnique, Diplôme d'ingénieur
Member, Finance Theory Group
Research Interests: Over-the-counter markets, market structure and design
Email: wangchj (AT) wharton.upenn.edu
We show that larger trades incur lower trading costs in government bond markets (“size discount”), but costs increase in trade size after controlling for client identity (“size penalty”). The size discount is driven by the cross-client variation of larger traders obtaining better prices, consistent with theories of trading with imperfect competition. The size penalty, driven by the within-client variation, is larger for corporate bonds, during major macroeconomic surprises and during COVID-19. These differences are larger among more sophisticated clients, consistent with information-based theories.
On many important multi-dealer platforms, customers mostly request quotes from very few dealers. I build a model of multi-dealer platforms, where dealers strategically choose to respond to or ignore a request. If the customer contacts more dealers, each dealer responds with a lower probability and offers a stochastically worse price when responding. Dealers' strategic avoidance of competition overturns the customer's benefit from potentially receiving more quotes, worsening her best-overall price. In equilibrium, the customer contacts only two dealers. Multi-dealer platforms have limited ability to promote price competition: No design of information disclosure can improve the customer's payoff above this outcome.
Over-the-counter (OTC) trading thrives despite competition from exchanges. We let OTC dealers cream skim from exchanges in an otherwise standard Glosten and Milgrom (1985) framework. Restricting the dealer’s ability to cream skim induces “cheap substitution”: Some traders exit while others with larger gains from trade enter. Cheap substitution implies trading costs, trade volumes, and market shares are poor indicators for policy. In a benchmark case, restricting the dealer raises welfare only if trading cost increases, volume falls, and OTC market share is high. By contrast, the restriction improves welfare whenever adverse selection risk is low. A simple procedure implements the optimal Pigouvian tax.
Conflicts of interest are inherent to banking conglomerates. Regulators increasingly manage these conflicts by enforcing China Walls---internal information barriers around key affiliates, in particular, dealers. We map the information sharing among the dealers and funds using the universe of foreign exchange transactions involving the Israeli Shekel to evaluate if today's China Walls are effectively enforced. We employ a difference-in-differences design comparing affiliates to entirely unconnected firms around exceptionally large trades to measure information sharing, and exploit the structure of this market to verify our design. We document islands of informational autarky between the affiliate dealers and funds surrounded by a sea of information sharing: (1) The affiliate dealers and funds never trade and do not share information with each other. (2) The dealers and funds connected via trading relationships systemically share information, including on days when the dealer and the fund happen to not trade with each other. (3) Affiliate funds without China Walls intensely share information among themselves. (4) Our results hold during crisis and noncrisis periods, and across granular cells of firm and asset characteristics. Our results reveal remarkable regulatory capacity in democracies to control information flows between wholly aligned firms.
In a tractable model of over-the-counter markets where each investor can arbitrarily distribute her search capacity across other investors, the holdings of an asset are endogenously concentrated among a subgroup of investors. Investors who are more likely to hold the asset search among those less likely to hold it, and vice versa. When directed search is allowed in those existing random search models that endogenize intermediation, intermediation ceases to be an equilibrium outcome and instead the concentration of asset holdings arises endogenously. My model explains the persistent imbalance between banks’ funding needs, and contributes novel predictions of asset concentration across investors and asymmetric price dispersion.
Contrary to the prediction of the classic adverse selection theory, more informed traders could receive better pricing relative to less informed traders in over-the-counter financial markets. Dealers actively chase informed orders to better position their future quotes and avoid winner's curse in subsequent trades. On a multi-dealer platform, dealers' incentive of information chasing exactly offsets their fear of adverse selection. In a more general setting, information chasing can dominate adverse selection when dealers face differentially informed speculators, while adverse selection dominates when dealers face differentially informed trades from a given speculator. These two seemingly contrasting predictions are supported by empirical evidence from the UK government bond market.
Core-periphery trading networks arise endogenously in over-the-counter markets as an equilibrium balance between trade competition and inventory efficiency. A small number of firms emerge as core dealers to intermediate trades among a large number of peripheral firms. The equilibrium number of dealers depends on two countervailing forces: (i) competition among dealers in their pricing of immediacy to peripheral firms, and (ii) the benefit of concentrated intermediation in balancing dealer inventory through dealers’ ability to quickly net purchases against sales. For an asset with a lower frequency of trade demand, intermediation is concentrated among fewer dealers, and interdealer trades account for a greater fraction of total trade volume. These two predictions are strongly supported by evidence from the Bund and U.S. corporate bond markets. From a welfare viewpoint, I show that there are too few dealers for assets with frequent trade demands, and too many for assets with infrequent trade demands.
We model bargaining in over-the-counter network markets over the terms and prices of contracts. Of concern is whether bilateral non-cooperative bargaining is sufficient to achieve efficiency in this multilateral setting. For example, will market participants assign insolvency-based seniority in a socially efficient manner, or should bankruptcy laws override contractual terms with an automatic stay? We provide conditions under which bilateral bargaining over contingent contracts is efficient for a network of market participants. Examples include seniority assignment, close-out netting and collateral rights, secured debt liens, and leverage-based covenants. Given the ability to use covenants and other contingent contract terms, central market participants efficiently internalize the costs and benefits of their counterparties through the pricing of contracts. We provide counterexamples to efficiency for less contingent forms of bargaining coordination.