References
- Ait-Sahalia , Y. and Mancini , L. 2008 . Out of sample forecasts of quadratic variation . Journal of Econometrics , 147 ( 1 ) : 17 – 33 . (doi:10.1016/j.jeconom.2008.09.015)
- Amisano , G. and Giacomini , R. 2007 . Comparing density forecasts via weighted likelihood ratio tests . Journal of Business and Economic Statistics , 25 ( 2 ) : 177 – 90 . (doi:10.1198/073500106000000332)
- Andersen , T. G. , Bollerslev , T. , Diebold , F. X. and Ebens , H. 2001a . The distribution of realized stock return volatility . Journal of Financial Economics , 61 ( 1 ) : 43 – 76 . (doi:10.1016/S0304-405X(01)00055-1)
- Andersen , T. G. , Bollerslev , T. , Diebold , F. X. and Labys , P. 2000 . Exchange rate return standardized by realized volatility are (nearly) Gaussian . Multinational Finance Journal , 4–3 ( 4 ) : 159 – 79 .
- Andersen , T. G. , Bollerslev , T. , Diebold , F. X. and Labys , P. 2001b . The distribution of exchange rate volatility . Journal of the American Statistical Association , 96 ( 453 ) : 42 – 55 . (doi:10.1198/016214501750332965)
- Andersen , T. G. , Bollerslev , T. , Diebold , F. X. and Labys , P. 2003 . Modeling and forecasting realized volatility . Econometrica , 71 ( 2 ) : 579 – 625 . (doi:10.1111/1468-0262.00418)
- Barndorff-Nielsen , O. E. and Shephard , N. 2004 . Econometric analysis of realized covariation: high-frequency based covariance, regressions, and correlation in financial economics . Econometrica , 72 ( 3 ) : 885 – 925 . (doi:10.1111/j.1468-0262.2004.00515.x)
- Bauwens , L. , Laurent , S. and Rombouts , J. V.K. 2006 . Multivariate GARCH models: a survey . Journal of Applied Econometrics , 21 ( 1 ) : 79 – 109 . (doi:10.1002/jae.842)
- Billio , M. , Caporin , M. and Gobbo , M. 2006 . Flexible dynamic conditional correlation multivariate GARCH for asset allocation . Applied Financial Economics Letters , 2 ( 2 ) : 123 – 30 . (doi:10.1080/17446540500428843)
- Bonato , M. 2009 . Estimating the degrees of freedom of the realized volatility Wishart autoregressive model. Manuscript . available at http://ssrn.com/abstract=1357044
- Bonato , M. , Caporin , M. and Ranaldo , A. 2009 . “ Forecasting realized covariances with a block structure WAR model ” . Swiss National Bank Working Paper 2009–03
- Caporin , M. and Paruolo , P. 2009 . “ Structured multivariate volatility models ” . Department of Economics ‘Marco Fanno’, University of Padova . Working Paper 90
- Clements , A. , Doolan , M. , Hurn , S. and Becker , M. 2009 . “ On the efficacy of techniques for evaluating multivariate volatility forecasts ” . Australia : National Centre of Econometric Research (NCER) . Working Paper no. 41
- Corsi , F. 2009 . A simple approximate long-memory model of realized volatility . Journal of Financial Econometrics , 7 ( 2 ) : 174 – 196 . (doi:10.1093/jjfinec/nbp001)
- Dacorogna , M. , Gencay , R. , Muller , U. A. , Olsen , R. and Pictet , O. 2001 . An introduction to high-frequency finance , London : Academic Press .
- De Pooter , M. , Martens , M. and van Dijk , D. 2008 . Predicting the daily covariance matrix for S&P 100 stocks using intraday data – but which frequency to use? . Econometric Reviews , 27 ( 1–3 ) : 199 – 229 . (doi:10.1080/07474930701873333)
- Diebold , F. X. and Mariano , R. S. 1995 . Comparing predictive accuracy . Journal of Business and Economic Statistics , 13 ( 3 ) : 253 – 63 .
- Gourieroux , C. , Jasiak , J. and Sufana , R. 2009 . The Wishart autoregressive process of multivariate stochastic volatility . Journal of Econometrics , 150 ( 2 ) : 167 – 81 . (doi:10.1016/j.jeconom.2008.12.016)
- Hansen , P. R. 2005 . A test for superior predictive ability . Journal of Business and Economic Statistics , 23 ( 4 ) : 365 – 80 . (doi:10.1198/073500105000000063)
- Hansen , P. R. , Lunde , A. and Nason , J. M. 2011 . Model confidence sets for forecasting models . Econometrica , 79 ( 2 ) : 453 – 97 . (doi:10.3982/ECTA5771)
- Mcaleer , M. and Medeiros , M. 2008 . Realized volatility: a review . Econometric Reviews , 27 ( 1–3 ) : 10 – 45 . (doi:10.1080/07474930701853509)
- Meucci , A. 2005 . Risk and asset allocation , London : Springer .
- Patton , A. J. and Sheppard , K. 2009 . “ Evaluating volatility and correlation forecasts ” . In Handbook of financial time series , Edited by: Andersen , T. G. , Davis , R. A. , Kreiß , J. P. and Mikosch , T. 801 – 38 . Heidelberg, Berlin : Springer-Verlag .
- Silvennoinen , A. and Terasvirta , T. 2009 . “ Multivariate GARCH models ” . In Handbook of financial time series , Edited by: Andersen , T. G. , Davis , R. A. , Kreiß , J. P. and Mikosch , T. 201 – 32 . Heidelberg, Berlin : Springer-Verlag .
- West , K. D. 1996 . Asymptotic inference about predictive ability . Econometrica , 64 ( 5 ) : 1067 – 84 . (doi:10.2307/2171956)
- West , K. D. 2006 . “ Forecast evaluation ” . In Handbook of economic forecasting , Edited by: Elliott , G. , Granger , C. and Timmermann , A. 99 – 134 . Amsterdam : North Holland Press . chap. 3
- White , H. 2000 . A reality check for data snooping . Econometrica , 68 ( 5 ) : 1097 – 126 . (doi:10.1111/1468-0262.00152)