Learning to Manipulate a Financial Benchmark
M Shearer, G Rauterberg, and MP Wellman
Proceedings of 4th ACM International Conference on AI in Finance (ICAIF'23), pages 592–600, November 2023.
Abstract
Financial benchmarks estimate market values or reference rates used in a wide variety…
Machine Learning, Algorithmic Trading, and Manipulation
Columbia Blue Sky Blog post based on the report by Megan Shearer, Gabriel Rauterberg, and Michael Wellman.
Megan Shearer defends dissertation
On June 27, 2022, Megan Shearer successfully defended her PhD dissertation titled, "Modeling Trading Strategies in Financial Markets with Data, Simulation, and Deep Reinforcement Learning."
Congratulations, Dr. Shearer! We wish you a bright…
Stability Effects of Arbitrage in Exchange Traded Funds: An Agent-Based Model
M Shearer, D Byrd, TH Balch, and MP Wellman
2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 49, pages 1–9, November 2021.
Abstract
An index-based exchange traded fund (ETF) with underlying securities that trade on…
Megan Shearer defends thesis proposal
On June 1 2021, Megan Shearer presented and successfully defended her dissertation proposal titled "Modeling Trading Strategies in Financial Markets with Data, Simulation, and Deep Reinforcement Learning".
The dissertation committee comprises:
…
An Agent-Based Model of Financial Benchmark Manipulation
M Shearer, G Rauterberg, and MP Wellman
ICML Workshop on Applications and Infrastructure for Multi-Agent Learning, June 2019
Abstract
Financial benchmarks estimate market values or reference rates used in a wide variety of contexts, but are…
Incentivizing rider time-shift in a multi-leg public transportation system
M Shearer and MP Wellman
10th International Workshop on Agents in Traffic and Transportation, July 2018.
Abstract
We develop an incentive scheme for a hub-to-shuttle campus transit system, encouraging riders to shift travel times to improve…
Megan Shearer Passes Prelim
Megan Shearer passed her prelim exam, based on her directed study project: Incentivizing Rider Time-Shift in a Multi-Leg Public Transportation System.
Congratulations, Megan.