DocumentCode :
3061102
Title :
DSFM fitting of implied volatility surfaces
Author :
Borak, Szymon ; Fengler, Matthias ; Hardle, W.
Author_Institution :
Center for Appl. Stat. & Econ., Humboldt-Univ., Berlin, Germany
fYear :
2005
fDate :
8-10 Sept. 2005
Firstpage :
526
Lastpage :
531
Abstract :
Implied volatility is one of the key issues in modern quantitative finance, since plain vanilla option prices contain vital information for pricing and hedging of exotic and illiquid options. European plain vanilla options are nowadays widely traded, which results in a great amount of high-dimensional data especially on an intra day level. The data reveal a degenerated string structure. Dynamic semiparametric factor models (DSFM) are tailored to handle complex, degenerated data and yield low dimensional representations of the implied volatility surface (IVS). We discuss estimation issues of the model and apply it to DAX option prices.
Keywords :
estimation theory; pricing; stock markets; DAX option prices; European plain vanilla option prices; dynamic semiparametric factor models; implied volatility surface; quantitative finance; Computer aided software engineering; Context modeling; Cost function; Economic indicators; Finance; Principal component analysis; Statistics; Stochastic processes; Surface fitting; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2005. ISDA '05. Proceedings. 5th International Conference on
Print_ISBN :
0-7695-2286-6
Type :
conf
DOI :
10.1109/ISDA.2005.40
Filename :
1578838
Link To Document :
بازگشت