[图书][B] Linear and nonlinear programming

DG Luenberger, Y Ye - 1984 - Springer
This book is intended as a text covering the central concepts of practical optimization
techniques. It is designed for either self-study by professionals or classroom work at the …

An axiomatic characterization of cfmms and equivalence to prediction markets

R Frongillo, M Papireddygari, B Waggoner - arXiv preprint arXiv …, 2023 - arxiv.org
Constant-function market makers (CFMMs), such as Uniswap, are automated exchanges
offering trades among a set of assets. We study their technical relationship to another class …

Efficient market making via convex optimization, and a connection to online learning

J Abernethy, Y Chen, JW Vaughan - ACM Transactions on Economics …, 2013 - dl.acm.org
We propose a general framework for the design of securities markets over combinatorial or
infinite state or outcome spaces. The framework enables the design of computationally …

Adaptive market making via online learning

J Abernethy, S Kale - Advances in Neural Information …, 2013 - proceedings.neurips.cc
We consider the design of strategies for\emph {market making} in a market like a stock,
commodity, or currency exchange. In order to obtain profit guarantees for a market maker …

An optimization-based framework for automated market-making

J Abernethy, Y Chen, J Wortman Vaughan - Proceedings of the 12th …, 2011 - dl.acm.org
We propose a general framework for the design of securities markets over combinatorial or
infinite state or outcome spaces. The framework enables the design of computationally …

Dynamic learning and market making in spread betting markets with informed bettors

JR Birge, Y Feng, NB Keskin… - Operations …, 2021 - pubsonline.informs.org
We study the profit-maximization problem of a market maker in a spread betting market. In
this market, the market maker quotes cutoff lines for the outcome of a certain future event as …

Price Interpretability of Prediction Markets: A Convergence Analysis

J Gao, Z Wang, W Wu, D Yu - Operations Research, 2024 - pubsonline.informs.org
Prediction markets are long known for prediction accuracy. This study systematically
explores the fundamental properties of prediction markets, addressing questions about their …

Online Learning in Betting Markets: Profit versus Prediction

H Zhu, A Soen, YK Cheung, L Xie - arXiv preprint arXiv:2406.04062, 2024 - arxiv.org
We examine two types of binary betting markets, whose primary goal is for profit (such as
sports gambling) or to gain information (such as prediction markets). We articulate the …

Information aggregation and allocative efficiency in smooth markets

K Iyer, R Johari, CC Moallemi - Management Science, 2014 - pubsonline.informs.org
Recent years have seen extensive investigation of the information aggregation properties of
markets. However, relatively little is known about conditions under which a market will …

Price interpretability of prediction markets: A convergence analysis

D Yu, J Gao, W Wu, Z Wang - Proceedings of the 23rd ACM Conference …, 2022 - dl.acm.org
Information, often scattered among the crowd, is valuable yet hard to aggregate. Throughout
the centuries, researchers and practitioners have invented various tools in an attempt to …