English

Securities Based Decision Markets

Computer Science and Game Theory 2021-11-16 v2

Abstract

Decision markets are mechanisms for selecting one among a set of actions based on forecasts about their consequences. Decision markets that are based on scoring rules have been proven to offer incentive compatibility analogous to properly incentivised prediction markets. However, in contrast to prediction markets, it is unclear how to implement decision markets such that forecasting is done through the trading of securities. We here propose such a securities based implementation, and show that it offers the same expected payoff as the corresponding scoring rules based decision market. The distribution of realised payoffs, however, might differ. Our analysis expands the knowledge on forecasting based decision making and provides novel insights for intuitive and easy-to-use decision market implementations.

Keywords

Cite

@article{arxiv.2103.10011,
  title  = {Securities Based Decision Markets},
  author = {Wenlong Wang and Thomas Pfeiffer},
  journal= {arXiv preprint arXiv:2103.10011},
  year   = {2021}
}

Comments

To be published in The Third International Conference on Distributed Artificial Intelligence

R2 v1 2026-06-24T00:17:59.554Z