Modules / Module 03 / Chapter 8

How News Events Trigger Instant Price Jumps

Game Theory & Economic Incentives

At 10:04:12 an AP push hits; by 10:04:45 a prediction contract reprices from 41% to 57%. That 35-second window is where game theory, microstructure , and information economics collide.

This chapter explains why news moves prices instantly, who wins the race, and how to interpret jumps without fooling yourself.

Information arrival as a shock

Treat price as filter of belief distribution. News is sufficient statistic shift for many traders—posterior probability jumps even if you have not processed the article yet.

Bayesian jump (conceptual):

  • Prior 40%
  • Likelihood ratio from headline large
  • Posterior 55%

Market implements posterior via orders, not via survey.

The microstructure timeline

the microstructure module CLOB: lifts ask stack.
the microstructure module AMM: moves curve.

Who wins the jump

Winner’s curse for speed traders: fastest buy lifts ask; if news overreaction, they sell back down to slower crowd.

Jump size vs surprise

Surprise = news vs prior market-implied expectation.

  • Expected debate gaffe → small move
  • Surprise indictment → large move

Compare move to options-implied or poll-implied surprise metrics in finance; prediction markets analogous.

Partial information jumps

Headline: “Deal reached” without text. Traders split:

  • Skeptics fade (maybe non-binding MOU)
  • Believers buy (assume passage)

Wide spread after headline = uncertainty, not consensus.

Fake news and false jumps

False tweet → spike → revert in minutes when debunked.

Game:

  • Attackers profit if they positioned pre-tweet
  • Platforms halt trading or widen bands
  • Oracles later ignore hoaxes for settlement

Trader rule: size inversely to source credibility lag.

Scheduled vs unscheduled

Scheduled (CPI, Fed, debate start):

  • Makers widen spread pre-release
  • Volatility auctions
  • Less edge for slow retail

Unscheduled (scandal leak, health event):

  • Larger jumps, wider spreads after
  • Arb slower if rules ambiguous

Volume signature of “real” news

Healthy jump profile:

  • Volume multiple of baseline across venues
  • Correlated move in sister contracts
  • Spread temporarily wide then tightens

Unhealthy (possible cascade/manipulation):

  • One venue only
  • Tiny notional
  • Revert in <10 minutes without clarification

Expected value of speed

Investing $50k/yr in faster feed vs edge per jump × frequency:

  • Political junkie retail: negative EV
  • Multi-venue arb firm: positive EV at scale

Most forecasters should improve model not latency.

After the jump: drift vs revert

Drift — new level correct; information permanent.
Revert — overreaction; fade profitable.

Discriminate using:

  • Subsequent official confirmations
  • Poll shifts next cycle
  • Structural arb still violated?

No formula—process beats reflex.

Media quoting jumps

“Markets swing to 70%” from one thin print harms public understanding. Better:

  • Timestamp
  • Composite mid
  • Depth at move

Game with oracles

News near resolution may not move tradeable market—oracle rules freeze trading. Jump game ends; resolution risk begins.

When an alert fires, rank the source tier (wire services above random accounts), check whether the move was already priced on the chart, seek cross-venue confirmation, sanity-check sister contracts, and remember your edge is usually interpretation, not milliseconds.

What comes next

Next: Incentivized reporting and honest consensus at settlement.