CRASH HEDGING STRATEGIES AND WORST-CASE SCENARIO PORTFOLIO OPTIMIZATION
Olaf Menkens ()
Additional contact information
Olaf Menkens: School of Mathematical Sciences, Dublin City University, Glasnevin, Dublin 9, Ireland
International Journal of Theoretical and Applied Finance (IJTAF), 2006, vol. 09, issue 04, 597-618
Abstract:
Crash hedging strategies are derived as solutions of non-linear differential equations which itself are consequences of an equilibrium strategy which make the investor indifferent to uncertain (down) jumps. This is done in the situation where the investor has a logarithmic utility and where the market coefficients after a possible crash may change. It is scrutinized when and in which sense the crash hedging strategy is optimal. The situation of an investor with incomplete information is considered as well. Finally, introducing the crash horizon, an implied volatility is derived.
Keywords: Optimal portfolios; crash modelling; worst-case scenario; changing market coefficients; implied volatility; crash horizon (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.worldscientific.com/doi/abs/10.1142/S0219024906003706
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:wsi:ijtafx:v:09:y:2006:i:04:n:s0219024906003706
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219024906003706
Access Statistics for this article
International Journal of Theoretical and Applied Finance (IJTAF) is currently edited by L P Hughston
More articles in International Journal of Theoretical and Applied Finance (IJTAF) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().