skip to main content
10.1145/3308560.3316530acmotherconferencesArticle/Chapter ViewAbstractPublication PageswwwConference Proceedingsconference-collections
research-article

Smarter Markets: Bringing Intelligence into the Exchange

Published:13 May 2019Publication History

ABSTRACT

Billions of dollars in financial securities exchange hands every day in independent continuous double auctions. Although the auctions are automated, fast, open 24-7, and have worldwide scope and massive scale, the underlying auction rules have not changed much for over 100 years. Advertisement auctions, on the other hand, have rapidly evolved, incorporating optimization and machine learning directly into their allocation rules. The downside is a less-transparent auction, but the upsides for efficiency and expressiveness are tremendous. The trend toward smarter markets will expand into finance and well beyond, pervading how markets are designed. I will discuss markets that optimize and learn, using prediction markets and advertising markets as key examples.

Index Terms

  1. Smarter Markets: Bringing Intelligence into the Exchange
          Index terms have been assigned to the content through auto-classification.

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Other conferences
            WWW '19: Companion Proceedings of The 2019 World Wide Web Conference
            May 2019
            1331 pages
            ISBN:9781450366755
            DOI:10.1145/3308560

            Copyright © 2019 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 13 May 2019

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article
            • Research
            • Refereed limited

            Acceptance Rates

            Overall Acceptance Rate1,899of8,196submissions,23%
          • Article Metrics

            • Downloads (Last 12 months)0
            • Downloads (Last 6 weeks)0

            Other Metrics

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader

          HTML Format

          View this article in HTML Format .

          View HTML Format