“Equilibrium Data Mining and Data Abundance”, with Jérôme Dugast. Work in Progress. Last revised April 14, 2020.
- Latest draft: here
- Slides: here
- Abstract: “We analyze how information processing power and data abundance affect speculators’ search for predictors. Speculators optimally search for a predictor whose signal-to-noise ratio exceeds an endogenous threshold. Greater computing power raises this threshold, and therefore price informativeness, because it reduces the cost of search. In contrast, data abundance can lower this threshold because (i) it intensifies competition among speculators, which reduces the benefit of finding a good predictor and (ii) it increases the total expected cost of finding a predictor. In the former (latter) case, price informativeness increases (decreases) with data abundance. We present additional testable implications of these effects.”
“Inventory Management, Dealers’ Connections and Prices in OTC Markets” with Jean-Edouard Colliard and Peter Hoffman. Last revised: May 2020. Forthcoming in the Journal of Finance.
- Predicts that the distribution of aggregate inventories between core and peripheral dealers affect the distribution of transaction prices and bid-ask spreads in OTC markets.
- Latest draft (SSRN) available here.
- Online appendix available here.
- Abstract: “We propose a new model of trading in OTC markets. Dealers accumulate inventories by trading with end-investors and trade among each other to reduce their inventory holding costs. Core dealers have access to a more efficient trading technology than peripheral dealers, who are heterogeneously connected to core dealers and trade with each other bilaterally. Connectedness affects prices and allocations if and only if the peripheral dealers’ aggregate inventory position differs from zero. The resulting price dispersion increases in the size of this position. The model generates new predictions about the joint effects of peripheral dealers’ connectedness and dealers’ aggregate inventories on transaction prices, both among dealers and between dealers and their clients.”
A new survey on HFT: “Is trading fast dangerous“, forthcoming in Global Algorithmic Capital Markets: High Frequency Trading, Dark Pools, and Regulatory Challenges, 2019.