Forecasting volatility under fractality, regime-switching, long memory and student- innovations

Abraham, 2007, Gamma stochastic volatility models, Journal of Forecasting, 25, 153, 10.1002/for.982 Aiolfi, 2006, Persistence in forecasting performance and conditional combination strategies, Journal of Econometrics, 135, 31, 10.1016/j.jeconom.2005.07.015 Andersen, 1998, Answering the sceptics: yes standard volatility models do provide accurate forecasts, International Economic Review, 39, 885, 10.2307/2527343 Andersen, T., Bollerslev, T., Christoffersen, P., Diebold, F., 2005a. Volatility forecasting. PIER Working Paper No. 05-011. Andersen, 2003, Modeling and forecasting realized volatility, Econometrica, 71, 579, 10.1111/1468-0262.00418 Andersen, 2005, Correcting the errors: volatility forecast evaluation using high frequency data and realized volatilities, Econometrica, 73, 279, 10.1111/j.1468-0262.2005.00572.x Baillie, 1996, Fractionally itegrated generalized autoregressive conditional heteroskedasticty, Journal of Econometrics, 74, 3, 10.1016/S0304-4076(95)01749-6 Brockwell, 2004, Generalized Levinson–Durbin and Burg algorithms, Journal of Econometrics, 118, 129, 10.1016/S0304-4076(03)00138-6 Brockwell, 1991 Calvet, 2001, Forecasting multifractal volatility, Journal of Econometrics, 105, 27, 10.1016/S0304-4076(01)00069-0 Calvet, 2004, Regime-switching and the estimation of multifractal processes, Journal of Financial Econometrics, 2, 44, 10.1093/jjfinec/nbh003 Calvet, L., Fisher, A., Mandelbrot, B., 1997. A multifractal model of asset returns. Cowles Foundation Discussion Papers: Yale University, no. 1164–1166. Chuang, 2007, Forecasting volatility in the financial markets: a comparison of alternative distributional assumptions, Applied Financial Economics, 17, 1051, 10.1080/09603100600771000 Diebold, 1995, Comparing predictive accuracy, Journal of Business and Economic Statistics, 13, 253, 10.2307/1392185 Ding, 1993, A long memory property of stock market returns and a new model, Journal of Empirical Finance, 1, 83, 10.1016/0927-5398(93)90006-D Granger, 1989, Combining forecasts-twenty years later, Journal of Forecasting, 8, 167, 10.1002/for.3980080303 Granger, 1999, A simple nonlinear time series model with misleading linear properties, Economic Letters, 62, 161, 10.1016/S0165-1765(98)00228-6 Harris, 1999 Liu, 2007, True and apparent scaling: the proximity of the Markov-switching multifractal model to long-range dependence, Physica A, 383, 35, 10.1016/j.physa.2007.04.085 Lobato, 1998, Real and spurious long-memory properties of stock market data, Journal of Business and Economics Statistics, 16, 261, 10.2307/1392497 Lux, 1996, Long-term stochastic dependence in financial prices: evidence from the German stock market, Applied Economics Letters, 3, 701, 10.1080/135048596355691 Lux, 2008, The Markov-switching multifractal model of asset returns: GMM estimation and linear forecasting of volatility, Journal of Business and Economic Statistics, 26, 194, 10.1198/073500107000000403 Lux, 2007, Forecasting volatility and volume in the Tokyo stock market: long memory, fractality and regime switching, Journal of Economic Dynamics and Control, 31, 1808, 10.1016/j.jedc.2007.01.010 Mills, 1997, Stylized facts of the temporal and distributional properties of daily FTSE returns, Applied Financial Economics, 7, 599, 10.1080/758533851 Muller, 1997, Volatilities of different time resolutions: analyzing the dynamics of market components, Journal of Empirical Finance, 4, 213, 10.1016/S0927-5398(97)00007-8 Nakajima, 2009, Leverage, heavy tails and correlated jumps in stochastic volatility models, Computational Statistics and Data Analysis, 53, 2335, 10.1016/j.csda.2008.03.015 Poon, 2003, Forecasting volatility in financial markets: a review, Journal of Economic Literature, 26, 478, 10.1257/002205103765762743 Rabemananjara, 1993, Threshold ARCH models and asymmetries in volatility, Journal of Applied Econometrics, 8, 31, 10.1002/jae.3950080104 Rossi, 2006, Volatility estimation via hidden Markov models, Journal of Empirical Finance, 13, 203, 10.1016/j.jempfin.2005.09.003 Schmitt, 1999, Multifractal analysis of foreign exchange data, Applied Stochastic Models and Data Analysis, 15, 29, 10.1002/(SICI)1099-0747(199903)15:1<29::AID-ASM357>3.0.CO;2-Z Vassilicos, 2004, No evidence of chaos but some evidence of multifractals in the foreign exchange and the stock market Wu, 2007, Value-at-Risk analysis for long-term interest rate futures: fat tail and long memory in return innovations, Journal of Empirical Finance, 14, 248, 10.1016/j.jempfin.2006.02.001