From the 1 of 5 linked papers with an AI index.
5 papers
Auditing Algorithmic Collusion from Strategy Graphs
Nicolas Eschenbaum, Janusz M. Meylahn
Detecting algorithmic collusion is challenging because regulators often have limited access to firms' algorithms, training data, and market information. We study an intermediate-in…
Shared Bidding Algorithms and Competition: Evidence from Electricity Markets
Nicolas Eschenbaum
The paper examines how electricity market participants using the same third‑party bidding algorithm tend to synchronize their bids, effectively internalising rivals' profits and le…
Market Power and Platform Design in Decentralized Electricity Trading
Nicolas Eschenbaum, Nicolas Greber
This paper studies how platform design shapes strategic behavior in decentralized electricity trading. We develop a finite-horizon dynamic game in which photovoltaic- and battery-e…
Dynamic Monopoly Pricing With Multiple Varieties: Trading Up
Stefan Buehler, Nicolas Eschenbaum, Severin Lenhard
This paper studies dynamic monopoly pricing for a broad class of settings that allow for multiple durable, multiple rental, or a mix of varieties. We show that the driving force be…
Repeated Auctions with Speculators: Arbitrage Incentives and Forks in DAOs
Nicolas Eschenbaum, Nicolas Greber
We analyze the vulnerability of decentralized autonomous organizations (DAOs) to speculative exploitation via their redemption mechanisms. Studying a game-theoretic model of repeat…