Extreme Value Estimation of Boom and Crash Statistics

John Cotter

The European Journal of Finance, 2006, vol. 12, issue 6-7, 553-566

Abstract: Extreme price movements associated with market crashes and booms have catastrophic repercussions for all investors and it is necessary to make accurate predictions of the frequency and severity of these events. This paper investigates the extreme behaviour of equity market returns and quantifies the possible losses experienced during financial crises. Extreme value theory using the block maxima method is applied to equity indices representing American, Asian and European markets. The empirical evidence shows that the tail indices are characterized by the fat-tailed Frechet distribution. Extreme return levels associated with market crashes are more severe than booms. Asian markets exhibit the largest propensity for experiencing crashes and booms.

Keywords: Extreme value theory; market crashes and booms (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/13518470500460111 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:eurjfi:v:12:y:2006:i:6-7:p:553-566

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/REJF20

DOI: 10.1080/13518470500460111

Access Statistics for this article

The European Journal of Finance is currently edited by Chris Adcock

More articles in The European Journal of Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().