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Statistical Surveillance of Volatility Forecasting Models
Vasyl Golosnoy
Iryna Okhrin
Wolfgang Schmid
出版
SSRN
, 2011
URL
http://books.google.com.hk/books?id=l-XdzwEACAAJ&hl=&source=gbs_api
註釋
This paper elaborates sequential procedures for monitoring the validity of a volatility model. A state space representation describes dynamics of daily integrated volatility. The observation equation relates the integrated volatility to its measures such as the realized volatility or bipower variation. On-line control procedures, based on volatility forecasting errors, allow us to decide whether the chosen representation remains correctly specified. A signal indicates that the assumed volatility model may no longer be valid. The performance of our approach is analyzed within a Monte Carlo simulation study and illustrated in an empirical application for selected US stocks.