Modelling the Impact of Overnight Surprises on Intra-daily Volatility
AbstractIn this paper we evaluate the impact that stock returns recorded between market closing and opening the next business day have on intra-daily volatility. A simple test shows that the estimated volatility clustering of the intra-daily returns may be affected by a market opening surprise bias. An extension of the standard GARCH model is suggested here to include the effect of this surprise and is applied on a sample of largely traded US stocks. The performance of two specifications in which this effect is included is evaluated in an out-of-sample forecasting exercise relative to their standard counterparts.
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Bibliographic InfoPaper provided by Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti" in its series Econometrics Working Papers Archive with number wp2001_02.
Length: 23 pages
Date of creation: 2001
Date of revision:
Volatility forecasting; univariate GARCH; market opening surprise bias.;
Other versions of this item:
- Gallo, Giampiero M, 2001. "Modelling the Impact of Overnight Surprises on Intra-Daily Volatility," Australian Economic Papers, Wiley Blackwell, vol. 40(4), pages 567-80, December.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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