Automated Versus Floor Trading: An Analysis of Execution Costs on the Paris and New York Exchanges
By K. Venkataraman. 2001
192 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0a44d9e39ee89381f45b45339b3d34b198b5c2b6
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Citations in the corpus
- Trading frequency and asset pricing on the London Stock Exchange: Evidence from a new price impact ratio (2011, unknown): “For example, Venkataraman (2001) documents a trend towards automation of auction trading mechanisms.”
- Using Matched Samples to Test for Differences in Trade Execution Costs (2009, unknown): “This highlights the importance of the other steps taken in Venkataraman (2001) to verify significance, such as conducting a bootstrap simulation and using different combinations of matching characteristics.”
- Automation, Speed, and Stock Market Quality: The NYSE’s Hybrid (2011, background): “Existing literature compares speed across market structures (Battalio, Hatch, and Jennings, 2003; and Boehmer , 2005) and levels of automation across market structures (for example, Venkataraman, 2001).”
- Latency, liquidity and price discovery ☆ (2012, unknown): “Pre-trade transparency includes the 10 best bids and ask prices and quantities but not the ID of the submitting participant (as on the Paris Bourse (Venkataraman, 2001)).”
- Algorithmic Trading and the Market for Liquidity (2013, unknown): “ATs were viewed as satisfying the cost justification for the change, so the DB could offer lower trading fees for ATs.7 6Iceberg orders are allowed as on the Paris Bourse (see also Venkataraman (2001)).”
- Does Earnings Quality Affect Information Asymmetry? Evidence from Trading Costs*: Earnings Quality and Information Asymmetry (2013, unknown): “9 The price impact of trade has been used extensively in empirical market microstructure literature to quantify information asymmetry (see for example, Bessembinder and Kaufman, 1997; Stoll, 2000; Venkataraman, 2001, among others).”