Can We Use Volatility to Diagnose Financial Bubbles? Lessons from 40 Historical Bubbles

Didier Sornette, Peter Cauwels and Georgi Smilyanov
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Didier Sornette: ETH Zurich and Swiss Finance Institute
Peter Cauwels: ETH Zurich
Georgi Smilyanov: ETH Zurich

No 17-27, Swiss Finance Institute Research Paper Series from Swiss Finance Institute

Abstract: We inspect the price volatility before, during, and after financial asset bubbles in order to uncover possible commonalities and check empirically whether volatility might be used as an indicator or an early warning signal of an unsustainable price increase and the associated crash. Some researchers and finance practitioners believe that historical and/or implied volatility increase before a crash, but we do not see this as a consistent behavior. We examine forty well-known bubbles and, using creative graphical representations to capture robustly the transient dynamics of the volatility, find that the dynamics of the volatility would not have been a useful predictor of the subsequent crashes. In approximately two-third of the studied bubbles, the crash follows a period of lower volatility, reminiscent of the idiom of a “lull before the storm”. This paradoxical behavior, from the lenses of traditional asset pricing models, further questions the general relationship between risk and return.

Keywords: gradual portfolio adjustment; international portfolio allocation; predictable excess returns. (search for similar items in EconPapers)
JEL-codes: F30 F41 G11 G12 (search for similar items in EconPapers)
Pages: 127 pages
Date: 2017-04
New Economics Papers: this item is included in nep-rmg
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:chf:rpseri:rp1727

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