
Ciamac Moallemi
· Professor of BusinessColumbia University · Decision Sciences and Operations
Active 1991–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
Research topics
- Computer Science
- Finance
- Machine Learning
- Economics
- Artificial Intelligence
- Microeconomics
- Business
- Econometrics
- Monetary economics
- Statistics
Selected publications
Monopoly without a Monopolist: An Economic Analysis of the Bitcoin Payment System
The Review of Economic Studies · 2021 · 233 citations
Senior authorCorrespondingAbstract Bitcoin provides its users with transaction-processing services which are similar to those of traditional payment systems. This article models the novel economic structure implied by Bitcoin’s innovative decentralized design, which allows the payment system to be reliably operated by unrelated parties called miners. We find that this decentralized design protects users from monopoly pricing. Competition among service providers within the platform and free entry imply no entity can profi…
Automated Market Making and Loss-Versus-Rebalancing
arXiv (Cornell University) · 2022 · 55 citations
We consider the market microstructure of automated market makers (AMMs) from the perspective of liquidity providers (LPs). Our central contribution is a ``Black-Scholes formula for AMMs''. We identify the main adverse selection cost incurred by LPs, which we call ``loss-versus-rebalancing'' (LVR, pronounced ``lever''). LVR captures costs incurred by AMM LPs due to stale prices that are picked off by better informed arbitrageurs. We derive closed-form expressions for LVR applicable to all automat…
Management Science · 2020 · 45 citations
We consider the problem of A-B testing when the impact of the treatment is marred by a large number of covariates. Randomization can be highly inefficient in such settings, and thus we consider the problem of optimally allocating test subjects to either treatment with a view to maximizing the precision of our estimate of the treatment effect. Our main contribution is a tractable algorithm for this problem in the online setting, where subjects arrive, and must be assigned, sequentially, with cova…
Automated Market Making and Arbitrage Profits in the Presence of Fees
arXiv (Cornell University) · 2023-05-24 · 16 citations
preprintOpen accessWe consider the impact of trading fees on the profits of arbitrageurs trading against an automated market maker (AMM) or, equivalently, on the adverse selection incurred by liquidity providers (LPs) due to arbitrage. We extend the model of Milionis et al. [2022] for a general class of two asset AMMs to introduce both fees and discrete Poisson block generation times. In our setting, we are able to compute the expected instantaneous rate of arbitrage profit in closed form. When the fees are low, i…
Complexity-Approximation Trade-Offs in Exchange Mechanisms: AMMs vs. LOBs
Lecture notes in computer science · 2023-11-30 · 13 citations
book-chapterCorresponding
Recent grants
Optimization Based Methods for Systemic Risk Management
NSF · $230k · 2012–2016
Frequent coauthors
- 16 shared
Benjamin Van Roy
- 13 shared
Vivek F. Farias
Massachusetts Institute of Technology
- 12 shared
Costis Maglaras
Columbia University
- 9 shared
Gur Huberman
Columbia University
- 9 shared
Jacob D. Leshno
University of Chicago
- 8 shared
Seungki Min
Korea Advanced Institute of Science and Technology
- 7 shared
Tim Roughgarden
Columbia University
- 7 shared
Jason Milionis
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