Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/26432
Authors: 
Cheung, Yan-Leung
Cheung, Yin-Wong
Wan, Alan Tze Kin
Year of Publication: 
2008
Series/Report no.: 
CESifo working paper 2387
Abstract: 
We observe that daily highs and lows of stock prices do not diverge over time and, hence, adopt the cointegration concept and the related vector error correction model (VECM) to model the daily high, the daily low, and the associated daily range data. The in-sample results attest the importance of incorporating high-low interactions in modeling the range variable. In evaluating the out-of-sample forecast performance using both mean-squared forecast error and direction of change criteria, it is found that the VECM-based low and high forecasts offer some advantages over some alternative forecasts. The VECM-based range forecasts, on the other hand, do not always dominate the forecast rankings depend on the choice of evaluation criterion and the variables being forecasted.
Subjects: 
Daily high
daily low
VECM model
forecast performance
implied volatility
JEL: 
C32
C53
G10
Document Type: 
Working Paper

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