Spoofing the Limit Order Book: A Strategic Agent-Based Analysis

X Wang, C Hoang, Y Vorobeychik, and MP Wellman Games 2021 12(2) 46, May 2021. Abstract We present an agent-based model of manipulating prices in financial markets through spoofing: submitting spurious orders to mislead traders who learn from…

A Strategic Analysis of Portfolio Compression

K Mayo and MP Wellman 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Extended Abstract, May 2021 (forthcoming). Abstract Portfolio compression, the netting of cycles in a financial network, is employed…

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…