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From Market Making to Matchmaking: Does Bank Regulation Harm Market Liquidity?

Review of Financial Studies 2023 36(2), 678-732
Postcrisis bank regulations raised market-making costs for bank-affiliated dealers. We show that this can, somewhat surprisingly, improve overall investor welfare and reduce average transaction costs despite the increased cost of immediacy. Bank dealers in OTC markets optimize between two parallel trading mechanisms: market making and matchmaking. Bank regulations that increase market-making costs change the market structure by intensifying competitive pressure from nonbank dealers and incentivizing bank dealers to shift their business activities toward matchmaking. Thus, postcrisis bank regulations have the (unintended) benefit of replacing costly bank balance sheets with a more efficient form of financial intermediation.

Directors' and officers' liability insurance and stock price crash risk

Journal of Corporate Finance 2016 37, 173-192
We investigate the impact of directors' and officers' insurance (D&O insurance) on stock price crash risk. We find that D&O insurance in China is negatively associated with stock price crash risk. This association is robust to a series of robustness checks including the use of alternative sample, Heckman two-step sample selection model, propensity score matching procedure, fixed effects model, the inclusion of some possibly omitted variables, and bootstrap method. Further analyses show that the impact of D&O insurance on crash risk is more pronounced in firms with lower board independence, non-Big 4 auditors, lower institutional shareholdings, and weaker investor protection; and the negative relationship between D&O insurance and crash risk is not driven by the eyeball effect. Moreover, we find that D&O insurance purchase is associated with less financial restatements and more disclosure of corporate social responsibility reports. Our findings provide support to the notion that D&O insurance appears to improve corporate governance.

Would Order‐By‐Order Auctions Be Competitive?

Journal of Finance 2025 80(4), 1879-1927
We model two methods of executing segregated retail orders: brokers' routing, whereby brokers allocate orders using the market maker's overall performance, and order‐by‐order auctions, where market makers bid on individual orders, a recent U.S. Securities and Exchange Commission proposal. Order‐by‐order auctions improve allocative efficiency, but face a winner's curse reducing retail investor welfare, particularly when liquidity is limited. Additional market participants competing for retail orders fail to improve total efficiency and investor welfare when entrants possess information superior to incumbent wholesalers. Our results hold when new entrants are less informed or the information structure differs. We also examine the cross‐subsidization of brokers' routing.

Functional distance and bank loan pricing: Evidence from the opening of high-speed railway in China

Journal of Banking & Finance 2023 149, 106810
Employing the staggered opening of the High-speed railway (HSR) as an exogenous shock, this paper examines the impact of functional distance on bank loan pricing. Based on a unique loan-level dataset from a nationwide state-owned Chinese commercial bank, we find that after the HSR opening, the loan pricing of local private firms decreases significantly. The possible channel is the facilitating of bank's easier access to soft information through the shortening of temporal functional distance. Moreover, the effect of HSR opening is more pronounced when the borrowing firm is difficult to visit or when loan pricing is more sensitive to information. We also find that the HSR opening increases the loan volume for local private firms, while there are no significant changes in loan pricing or loan volume for public firms with HSR opening. Our main conclusion remains valid after considering various robustness and endogeneity issues.

Learning from Manipulable Signals

American Economic Review 2022 112(12), 3995-4040
We study a dynamic stopping game between a principal and an agent. The principal gradually learns about the agent's private type from a noisy performance measure that can be manipulated by the agent via a costly and hidden action. We fully characterize the unique Markov equilibrium of this game. We find that terminations/market crashes are often preceded by a spike in manipulation intensity and (expected) performance. Moreover, due to endogenous signal manipulation, too much transparency can inhibit learning and harm the principal. As the players get arbitrarily patient, the principal elicits no useful information from the observed signal.