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CFMMs and Equivalence to Prediction Markets with Bo Waggoner | a16z crypto research talks

May 15, 2023
by
a16z crypto
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CFMMs and Equivalence to Prediction Markets with Bo Waggoner | a16z crypto research talks

TL;DR

CFMs and prediction markets are closely connected, with CFMs being a form of automated market maker and prediction markets being designed to elicit market beliefs.

Transcript

so welcome everyone it's been a while but uh a16z crypto research seminars back for today uh very happy to introduce Beau Wagner professor at University of Colorado um telling us about his new work on off the press um about amm's and prediction markets and the connections between them so about all yours great thanks great so this is uh about a pape... Read More

Key Insights

  • 🥅 CFMs and prediction markets share similarities in their design goals, with CFMs facilitating trade and prediction markets eliciting market beliefs.
  • 📏 CFMs and prediction markets can be connected and have equivalent trading rules and pricing mechanisms.
  • 😒 The connection between CFMs and prediction markets extends to online learning algorithms and the use of proper scoring rules.

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Questions & Answers

Q: What is the difference between CFMs and prediction markets?

CFMs are automated market makers that facilitate trade among assets, while prediction markets are designed to elicit market beliefs about the probabilities of certain events.

Q: How do CFMs and prediction markets connect?

CFMs can be thought of as a form of market maker used in prediction markets, where the prices of securities are determined by market demand.

Q: What are the key axioms and characteristics of CFMs and prediction markets?

CFMs are characterized by concave and increasing potential functions, while prediction markets use proper scoring rules and are based on the principles of eliciting market beliefs.

Q: How are CFMs and prediction markets related to online learning algorithms?

CFMs can be seen as using no-regret learning algorithms to price assets, while prediction markets can be connected to online learning algorithms through their elicitation of market beliefs.

Summary & Key Takeaways

  • CFMs (constant function market makers) are a type of automated market maker, where traders interact with a single market maker sequentially over time.

  • Prediction markets are designed to elicit market beliefs and are based on the idea of creating securities that pay out based on the outcome of certain events.

  • CFMs and prediction markets have different design goals, but there are connections and equivalences between the two.


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