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  • FT50 A*

    When seeking to trade in over-the-counter markets, institutional investors typically restrict both the number of potential counterparties they contact and the information they disclose (e.g., by requesting two-sided rather than one-sided quotes). We rationalize these important facts in a model featuring endogenous front-running. Although an additional contact intensifies competition and aids in finding a natural counterparty, it also intensifies information leakage?which can be costly if it helps a losing dealer to front-run. We also address information design: the client optimally provides no information about her trading direction when requesting quotes. We conclude with implications for market design and regulation.

  • FT50 UTD24 A*

    ABSTRACT We study the consequences of, and potential policy responses to, high-frequency trading (HFT) via the tradeoff between liquidity and information production. Faster speeds facilitate HFT, with consequences for this tradeoff: Information production decreases because informed traders have less time to trade before HFTs react, but liquidity (measured by the bid-ask spread) improves because informational asymmetries decline. HFT also pushes outcomes inside the frontier of this tradeoff. However, outcomes can be restored to the frontier by replacing the limit order book with one of two alternative mechanisms: delaying all orders except cancellations or implementing frequent batch auctions.

  • FT50 UTD24 A*

    [This paper studies whether house prices reflect belief differences about climate change. We show that in an equilibrium model of housing choice in which agents derive utility from ownership in a neighborhood of similar agents, prices exhibit different elasticities to climate risk. We use comprehensive transaction data to relate prices to inundation projections of individual homes and measures of beliefs about climate change. We find that houses projected to be underwater in believer neighborhoods sell at a discount compared to houses in denier neighborhoods. Our results suggest that house prices reflect heterogeneity in beliefs about long-run climate change risks.]

  • FT50 UTD24 A* Open Access

    We study the optimal execution problem in a principal–agent setting. A client contracts to purchase from a dealer. The dealer hedges, buying from the market, creating temporary and permanent price impact. The client chooses a contract, which specifies payment as a function of market prices; hidden action precludes conditioning on the dealer’s hedging trades. We show the first-best benchmark is theoretically achievable with an unrestricted contract set. We then consider weighted-average-price contracts, which are commonly used. In the continuous-time limit, the optimal weighting entails a constant density at interior times and discrete masses at the extremes.

  • FT50 UTD24 A*

    We study liquidity supply in fragmented markets. Market makers intermediate heterogeneous order flows, trading off spread revenue against inventory costs. Applying our model to payment for order flow (PFOF), we demonstrate that portfolio-based considerations of inventory management incentivize market makers to segment retail orders by siphoning them off-exchange. Banning order flow segmentation reduces total welfare, can make trading more costly for all investors, and can resolve a prisoner's dilemma among market makers. These results differentiate our inventory-based model from the existing information-based theories of PFOF.

Last update from database: 9/16/24, 10:02 PM (AEST)