News augmented GARCH(1,1) model for volatility prediction
Author:
Affiliation:
1. Department of Mathematics, Brunel University London, Uxbridge, London, UK
2. OptiRisk Systems, OptiRisk R&D House, Uxbridge, London, UK
Funder
Optirisk Systems Limited
Publisher
Oxford University Press (OUP)
Subject
Applied Mathematics,Management Science and Operations Research,Strategy and Management,General Economics, Econometrics and Finance,Modelling and Simulation,Management Information Systems
Link
http://academic.oup.com/imaman/article-pdf/30/2/165/28226258/dpy004.pdf
Reference42 articles.
1. Answering the skeptics: yes, standard volatility models do provide accurate forecasts;Andersen;Int. Econ. Rev.,1998
2. Arbex-Valle, C., Erlwein-Sayer, C., Kochendörfer, A., Kübler, B., Mitra, G., Nana, G., Nouwt, B. & Stalknecht, B. (2013) News-Enhanced Market Risk Management. Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2322668.
3. Macroeconomic news effects on conditional volatilities in the bond and stock markets;Arshanapalli;Appl. Financ. Econ.,2006
4. The message in daily exchange rates: a conditional variance tale;Baillie;J. Bus. Econ. Stat.,1989
5. Generalized autoregressive conditional heteroscedasticity;Bollerslev;Rev. Econ. Stat.,1986
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