Analysis of volatility feedback and leverage effects on the ISE30 index using high frequency data

Date

2014-03-15

Author

Inkaya, A.
Okur, Y. Yolcu

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In this study, we employ the techniques of Malliavin calculus to analyze the volatility feedback and leverage effects for a better understanding of financial market dynamics. We estimate both effects for a general semimartingale model applying Fourier analysis developed in Malliavin and Mancino (2002) [10]. We further investigate their joint behaviour using 5 min data of the ISE30 index. On the basis of these estimations, we look for the evidence that volatility feedback effect rate can be employed in the stability analysis of financial markets.

Subject Keywords

Applied Mathematics, Computational Mathematics

URI

https://hdl.handle.net/11511/65793

Journal

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

DOI

https://doi.org/10.1016/j.cam.2013.06.024

Collections

Graduate School of Applied Mathematics, Article

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Citation Formats

A. Inkaya and Y. Y. Okur, “Analysis of volatility feedback and leverage effects on the ISE30 index using high frequency data,” JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, pp. 377–384, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65793.