• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • All Placement Records
      • PhD Vacancies
    • Facilities
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community
Home | Events Archive | Early Birds Get the Vol: Morning Volatility Uncertainty and Variance Risk Premium
Seminar

Early Birds Get the Vol: Morning Volatility Uncertainty and Variance Risk Premium


  • Location
    Erasmus University Rotterdam, Campus Woudestein, ET-14
    Rotterdam
  • Date and time

    November 20, 2025
    12:00 - 13:00

We document that the VVIX (volatility-of-volatility index) exhibits distinct intraday patterns with varying predictive power for variance asset returns. Using high-frequency VIX options data from 2006-2022, we find VVIX's predictive ability peaks at 10:00 EST during U.S.-European market overlap, achieving t-statistics of 5.6 and adjusted-$R^2$s up to 2.63\%. This predictive power systematically diminishes after 11:00 EST. Elevated morning VVIX predicts positive next-day variance asset returns, consistent with underreaction and slow-moving beliefs about volatility mechanisms. Results remain robust after controlling for established predictors, overnight information, and order imbalances, generating substantial economic value through trading strategies with Sharpe ratios significantly above benchmarks.