The estimation of the Barndorff-Nielsen and Shephard model from daily data based on measures of trading intensity
Journal article, 2008

We give a method to fit the Barndorff-Nielsen and Shephard model [J. R. Stat. Soe. Ser. B 2001; 63:167-241] to daily data. Many researchers have established a connection between volatility and different measures of trading intensity, such as traded volume or number of trades. We benefit from this connection, and propose to use some measure of trading intensity as the volatility in the model in [J. R. Stat. Soe. Ser. B 2001; 63:167-241] . Our approach gives stable parameter estimates, and it is much easier to implement than the quadratic variation method. The efficiency of our method is illustrated by a statistical analysis on the Ericsson stock from the OMX Stockholmsbörsen during an exceptionally turbulent period of five years. The results indicate a good model fit. Copyright © 2007 John Wiley & Sons, Ltd.

volume

prices

stochastic volatility models

market

ornstein-uhlenbeck type

Author

CARL LINDBERG

Chalmers, Mathematical Sciences, Mathematical Statistics

University of Gothenburg

Applied Stochastic Models in Business and Industry

1524-1904 (ISSN) 1526-4025 (eISSN)

Vol. 24 4 277-289

Subject Categories

Mathematics

Economics and Business

Probability Theory and Statistics

DOI

10.1002/asmb.702

More information

Created

10/7/2017