On the shortfall risk control: A refinement of the quantile hedging method
Barski Michał ()
Additional contact information
Barski Michał: Mathematical Institute, University of Leipzig, Augustusplatz 10, 04109 Leipzig, Germany; and Faculty of Mathematics, Cardinal Stefan Wyszyński University in Warsaw, Wóycickiego 1/3, 01-938 Warsaw, Poland
Statistics & Risk Modeling, 2016, vol. 32, issue 2, 125-141
Abstract:
The issue of constructing a risk minimizing hedge under an additional almost-surely type constraint on the shortfall profile is examined. Several classical risk minimizing problems are adapted to the new setting and solved. In particular, the bankruptcy threat of optimal strategies appearing in the classical risk minimizing setting is ruled out. The existence and concrete forms of optimal strategies in a general semimartingale market model with the use of conditional statistical tests are proven. The quantile hedging method applied in [Finance Stoch. 3 (1999), 251–273; Finance Stoch. 4 (2000), 117–146] as well as the classical Neyman–Pearson lemma are generalized. Optimal hedging strategies with shortfall constraints in the Black–Scholes and exponential Poisson model are explicitly determined.
Keywords: Quantile hedging; Neyman–Pearson lemma; shortfall constraints; bankruptcy prohibition; conditional tests (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/strm-2014-1169 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:strimo:v:32:y:2016:i:2:p:125-141:n:1
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/strm/html
DOI: 10.1515/strm-2014-1169
Access Statistics for this article
Statistics & Risk Modeling is currently edited by Robert Stelzer
More articles in Statistics & Risk Modeling from De Gruyter
Bibliographic data for series maintained by Peter Golla ().