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…

Learning-Based Trading Strategies in the Face of Market Manipulation

X Wang, C Hoang, and MP Wellman ACM International Conference on AI and Finance, October 2020. Abstract We study learning-based trading strategies in markets where prices can be manipulated through spoofing: the practice of submitting spurious…

Economic reasoning from simulation-based game models

MP Wellman Œconomia, 10(2):257–278, 2020. Abstract Simulation modeling in economics has historically been viewed as an alternative to mainstream analytic technique, and as such has generally and intentionally avoided the focus on rational…

Cap-and-trade emissions regulation: A strategic analysis

F Cheng , Y Engel, and MP Wellman Proceedings of the 28th International Joint Conference on Artificial Intelligence, pages 187–193, August 2019. Abstract Cap-and-trade schemes are designed to achieve target levels of regulated emissions…

A Cloaking Mechanism to Mitigate Market Manipulation

X Wang, Y Vorobeychik, and MP Wellman 27th International Joint Conference on Artificial Intelligence, pages 541–547, July 2018. Abstract We propose a cloaking mechanism to deter spoofing, a form of manipulation in financial markets. The…

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…
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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.

Detecting Financial Market Manipulation: An Integrated Data- and Model-Driven Approach

Principal Investigators Michael Wellman (U Michigan) Uday Rajan (U Michigan) Michael Barr (U Michigan) PIs at partner universities: Tucker Balch (Georgia Tech) Sponsored by the NSF BIGDATA program, grant IIS-1741190. Project…

Accounting for strategic response in an agent-based model of financial regulation

F Cheng and MP Wellman Proceedings of the 18th ACM Conference on Economics and Computation, pages 187–203, June 2017. Abstract Due to complex interactions in financial markets, financial regulations can sometimes produce unexpected outcomes,…
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JAAMAS Special issue on Autonomous Agents for ABM

Just published: the special issue of J. Autonomous Agents and Multiagent Systems, on Autonomous Agents for Agent-Based Modeling.  Co-editors: Virginia Dignum, Nigel Gilbert, Michael Wellman.