Research map / Bandits and online learning / Online convex optimization and games
An Online Learning Theory of Trading-Volume Maximization
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AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Studies a broker who posts trading prices between two traders in an online learning framework to maximize trading volume, based only on the abstract.
Problem
Maximizing trading volume when a broker must propose prices to two traders with private valuations that are unknown, learned online across rounds.
Approach
Frames brokerage between traders as an online learning problem in which the broker proposes a price each round and a trade occurs when one trader is willing to sell at that price; the abstract does not detail the algorithm.
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