Market Making with Decreasing Utility for Information
Abstract
We study information elicitation in cost-function-based combinatorial prediction markets when the market maker's utility for information decreases over time. In the sudden revelation setting, it is known that some piece of information will be revealed to traders, and the market maker wishes to prevent guaranteed profits for trading on the sure information. In the gradual decrease setting, the market maker's utility for (partial) information decreases continuously over time. We design adaptive cost functions for both settings which: (1) preserve the information previously gathered in the market; (2) eliminate (or diminish) rewards to traders for the publicly revealed information; (3) leave the reward structure unaffected for other information; and (4) maintain the market maker's worst-case loss. Our constructions utilize mixed Bregman divergence, which matches our notion of utility for information.
Cite
Text
Dudík et al. "Market Making with Decreasing Utility for Information." Conference on Uncertainty in Artificial Intelligence, 2014.Markdown
[Dudík et al. "Market Making with Decreasing Utility for Information." Conference on Uncertainty in Artificial Intelligence, 2014.](https://mlanthology.org/uai/2014/dudik2014uai-market/)BibTeX
@inproceedings{dudik2014uai-market,
title = {{Market Making with Decreasing Utility for Information}},
author = {Dudík, Miroslav and Frongillo, Rafael M. and Vaughan, Jennifer Wortman},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2014},
pages = {152-161},
url = {https://mlanthology.org/uai/2014/dudik2014uai-market/}
}