• Graduate Program
    • Why study Business Data Science?
    • Research Master
    • Admissions
    • Facilities
    • Browse our Courses
    • Information Sessions and Campus Visits
    • PhD Vacancies
    • PhD Placements
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • Summer School
      • Deep Learning
      • Economics of Blockchain and Digital Currencies
      • Foundations of Machine Learning with Applications in Python
      • Marketing Research with Purpose
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Tinbergen Institute Summer School Program
    • Annual Tinbergen Institute Conference archive
  • News
  • Summer School
    • Deep Learning
    • Economics of Blockchain and Digital Currencies
    • Foundations of Machine Learning with Applications in Python
    • Marketing Research with Purpose
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
  • Alumni

Gresnigt, F., Kole, E. and Franses, P.H. (2015). Interpreting financial market crashes as earthquakes: A new early warning system for medium term crashes Journal of Banking and Finance, 56:123--139.


  • Journal
    Journal of Banking and Finance

To create probability predictions of a market crash occurring over a certain period, the authors propose a modeling framework based on similarities between stock returns around a market crash and seismic activity around earthquakes. They construct an early warning system for future crash days, test it on the S\&P 500 Index data during the financial crisis, and conclude that their model improves on existing volatility models.