Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 123-139 |
| Number of pages | 17 |
| Journal | Journal of Banking and Finance |
| Volume | 56 |
| DOIs | |
| Publication status | Published - 2015 |
Research programs
- EUR ESE 31
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