Printed from https://ideas.repec.org/n/nep-mst/2016-05-08.html
Report NEP-MST-2016-05-08
This is the archive for NEP-MST, a report on new working papers in the area of Market Microstructure. Thanos Verousis issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-MST
The following items were announced in this report:
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market stability vs. Market resilience : Regulatory policies experiments in an agent based model with low-and high -frequency trading," Documents de Travail de l'OFCE 2016-12, Observatoire Francais des Conjonctures Economiques (OFCE).
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent Based Model with Low- and High-Frequency Trading," LEM Papers Series 2016/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Corey Garriott & Adrian Walton, 2016. "Retail Order Flow Segmentation," Staff Working Papers 16-20, Bank of Canada.
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High- Frequency Trading," SciencePo Working papers Main hal-03459346, HAL.
- Albert S. Kyle & Anna A. Obizhaeva & Tugkan Tuzun, 2016. "Microstructure Invariance in U.S. Stock Market Trades," Finance and Economics Discussion Series 2016-034, Board of Governors of the Federal Reserve System (U.S.).
- Elena Andreou, 2016. "On the use of high frequency measures of volatility in MIDAS regressions," University of Cyprus Working Papers in Economics 03-2016, University of Cyprus Department of Economics.
- Gomber, Peter, 2016. "The German equity trading landscape," SAFE White Paper Series 34, Leibniz Institute for Financial Research SAFE.
- Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.