Learning about adverse selection in markets

Nihad Aliyev, Xue-Zhong He, Tālis J. Putniņš

Research output: Working paperPreprint

Abstract

How does a market learn about the number of informed traders and thus adverse selection risk? Using a model, we show that trade sequences convey information about adverse selection risk. Consequently, buy/sell order imbalances can destabilize markets, triggering extreme price movements, flash crashes, and liquidity evaporation. The increasing prevalence of these effects in markets can be explained by more active learning about adverse selection by competitive, high-frequency market makers. We use our model to estimate the uncertainty in adverse selection risk for US stocks and show that it decreases market liquidity and increases extreme price movements.
Original languageEnglish
PublisherSSRN
Number of pages81
DOIs
Publication statusSubmitted - 2023

Publication series

NameSSRN

Keywords

  • adverse selection
  • multidimensional learning
  • market stability
  • extreme price movements

Fingerprint

Dive into the research topics of 'Learning about adverse selection in markets'. Together they form a unique fingerprint.

Cite this