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Modern Algorithmic Trading ("Algo") allows institutional investors and traders to liquidate or establish big security positions in a fully automated or low-touch manner. Most existing academic or industrial Algos focus on how to "slice" a big parent order into smaller child orders over a given...
Persistent link: https://www.econbiz.de/10012837206
We provide a revealed preference analysis of the transferable utility hypothesis, which is widely used in economic models. First, we establish revealed preference conditions that must be satisfied for observed group behavior to be consistent with Pareto efficiency under transferable utility....
Persistent link: https://www.econbiz.de/10014185457
We provide a revealed preference analysis of the transferable utility hypothesis, which is widely used in economic models. First, we establish revealed preference conditions that must be satisfied for observed group behavior to be consistent with Pareto efficiency under transferable utility....
Persistent link: https://www.econbiz.de/10013129058
We examine the well studied Day of the Week effect (DWE), which is for many authors the effect that the day of the week has on the daily differences of the general index (GI). We try to clarify differences between the DWE and the impact that the day has on the GI. We also examine the impact that...
Persistent link: https://www.econbiz.de/10014223295
We develop statistical methods to detect informed trading in options markets. We apply these methods to 31 companies from various sectors over 14 years analyzing approximately 9.6 million option prices. We find that option informed trading tends to cluster prior to certain events, takes place...
Persistent link: https://www.econbiz.de/10009314008
This appendix extends the empirical results in Chesney, Crameri, and Mancini (2011). Informed trading activities on put and call options are analyzed for 19 companies in the banking and insurance sectors from January 1996 to September 2009. Our empirical findings suggest that certain events such...
Persistent link: https://www.econbiz.de/10009314012
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While common machine learning algorithms focus on minimizing the mean-square errors of model fit, we show that genetic programming, GP, is well-suited to maximize an economic objective, the Sharpe ratio of the usual spread portfolio in the cross-section of expected stock returns. In contrast to...
Persistent link: https://www.econbiz.de/10013242613