EconPapers    
Economics at your fingertips  
 

Skewness and Kurtosis Trades

Oliver J. Blaskowitz (), Wolfgang K. Härdle and Peter Schmidt ()
Additional contact information
Oliver J. Blaskowitz: Humboldt-Universität zu Berlin Wirtschaftswissenschaftliche Fakultät, Center for Applied Statistics and Economics (CASE)
Wolfgang K. Härdle: Humboldt-Universität zu Berlin Wirtschaftswissenschaftliche Fakultät, Center for Applied Statistics and Economics (CASE)
Peter Schmidt: Asset Management Research Bankgesellschaft Berlin AG, Quantitative Analyst Equities

Chapter 1 in Handbook of Computational and Numerical Methods in Finance, 2004, pp 1-14 from Springer

Abstract: Abstract In this paper we investigate the profitability of’ skewness trades’ and ‘kurtosis trades’ based on comparisons of implied state price densities versus historical densities. In particular, we examine the ability of SPD comparisons to detect structural breaks in the options market behaviour. While the implied state price density is estimated by means of the Barle and Cakici Implied Binomial Tree algorithm using a cross section of DAX option prices, the historical density is inferred by a combination of a non-parametric estimation from a historical time series of the DAX index and a forward Monte Carlo simulation.

Keywords: Option Price; Trade Performance; Call Option; European Option; Option Market (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-0-8176-8180-7_1

Ordering information: This item can be ordered from
http://www.springer.com/9780817681807

DOI: 10.1007/978-0-8176-8180-7_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-11
Handle: RePEc:spr:sprchp:978-0-8176-8180-7_1