Overview
Market microstructure studies how the mechanics of trading — order books, information asymmetry between participants, and inventory risk for liquidity providers — shape prices at short horizons, beneath the longer-run forces usually studied in asset pricing.
Core questions
Mathematical formulation
Kyle's lambda
Kyle (1985) models the price impact of signed order flow Q as linear, with slope λ — the market's inverse-depth parameter. A smaller λ means a deeper, less easily moved market; λ is the foundational measure of price impact that later impact models (square-root, concave) extend.
Methods we use
Sequential trade and informed-trading models
Kyle, A. S. (1985). Continuous auctions and insider trading. Econometrica, 53(6), 1315–1335; and Glosten, L. R., & Milgrom, P. R. (1985). Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics, 14(1), 71–100.
Price impact and liquidity
Tóth, B., Lempérière, Y., Deremble, C., de Lataillade, J., Kockelkoren, J., & Bouchaud, J.-P. (2011). Anomalous price impact and the critical nature of liquidity in financial markets. Physical Review X, 1(2), 021006; and Bouchaud, J.-P., Bonart, J., Donier, J., & Gould, M. (2018). Trades, Quotes and Prices. Cambridge University Press.
Execution and market-making under inventory risk
Almgren, R., & Chriss, N. (2001). Optimal execution of portfolio transactions. Journal of Risk, 3(2), 5–39; and Avellaneda, M., & Stoikov, S. (2008). High-frequency trading in a limit order book. Quantitative Finance, 8(3), 217–224.