[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 …
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
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 …
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
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 …
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 …
commodity, or currency exchange. In order to obtain profit guarantees for a market maker …
An optimization-based framework for automated market-making
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 …
infinite state or outcome spaces. The framework enables the design of computationally …
Dynamic learning and market making in spread betting markets with informed bettors
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 …
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 …
explores the fundamental properties of prediction markets, addressing questions about their …
Online Learning in Betting Markets: Profit versus Prediction
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 …
sports gambling) or to gain information (such as prediction markets). We articulate the …
Information aggregation and allocative efficiency in smooth markets
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 …
markets. However, relatively little is known about conditions under which a market will …
Price interpretability of prediction markets: A convergence analysis
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 …
the centuries, researchers and practitioners have invented various tools in an attempt to …