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We model competition for liquidity provision between high-frequency traders (HFTs) and slower execution algorithms designed to minimize transaction costs for buy-side institutions (B-Algos). Under continuous pricing, B-Algos dominate liquidity provision by using aggressive limit orders to...
Persistent link: https://www.econbiz.de/10012479921
Financial regulations and clientele segmentation explain the proliferation of order types on stock exchanges. Plain market and limit orders lose money, indicating that informed traders use complex orders. Fifty-seven percent of trading volume comes from non-routable orders, which are designed to...
Persistent link: https://www.econbiz.de/10012482730
We model competition for liquidity provision between high-frequency traders (HFTs) and slower execution algorithms (EAs) designed to minimize investors' transaction costs. Under continuous pricing, EAs dominate liquidity provision by using aggressive limit orders to stimulate HFTs' market...
Persistent link: https://www.econbiz.de/10012854750
We incorporate discrete tick size and allow non-high-frequency traders (non-HFTs) to supply liquidity in the framework of Budish, Cramton, and Shim (2015). When adverse selection risk is low or tick size is large, the bid-ask spread is typically below one tick, and HFTs dominate liquidity...
Persistent link: https://www.econbiz.de/10012913010
Persistent link: https://www.econbiz.de/10012873103
Persistent link: https://www.econbiz.de/10012055860
We model competition for liquidity provision between high-frequency traders (HFTs) and slower execution algorithms designed to minimize transaction costs for buy-side institutions (B-Algos). Under continuous pricing, B-Algos dominate liquidity provision by using aggressive limit orders to...
Persistent link: https://www.econbiz.de/10012867906
Financial regulations and clientele segmentation explain the proliferation of order types on stock exchanges. Plain market and limit orders lose money, indicating that informed traders use complex orders. Fifty-seven percent of trading volume comes from non-routable orders, which are designed to...
Persistent link: https://www.econbiz.de/10013242014
Economists usually assume that price and quantity are continuous variables, while most market designs, in reality, impose discrete tick and lot sizes. We study a firm’s trade-off between these two discretenesses in U.S. stock exchanges, which mandate a one-cent minimum tick size and a...
Persistent link: https://www.econbiz.de/10013243182
Persistent link: https://www.econbiz.de/10013546674