Ait-Sahalia, Y., Mykland, P.A. and Zhang, L., 2011. Ultra high frequency volatility estimation with dependent microstructure noise. Journal of Econometrics. 160, 160-175.
- Alexander, C.O., 2008. Market Risk Analysis: Quantitative Methods in Finance. Volume 1. John Wiley and Sons, New York.
Paper not yet in RePEc: Add citation now
Andersen, T. and Bollerslev, T., 1997. Intraday Periodicity and Volatility Persistence in Financial Markets. Journal of Empirical Finance. 4, 115-158.
- Andersen, T. and Bollerslev, T., 1998. DM-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements and Longer-Run Dependencies. Journal of Finance. 53, 219-265.
Paper not yet in RePEc: Add citation now
Andersen, T., Bollerslev, T. and Diebold, F.X., 2002. Parametric and Nonparametric Volatility Measurement. In (eds.) Lars Peter Hansen and Yacine Aït-Sahalia, Handbook of Financial Econometrics. Amsterdam, North Holland.
Andersen, T., Bollerslev, T. and Lange, S., 1999. Forecasting Financial Market Volatility: Sample Frequency vis-Ã -vis Forecast Horizon. Journal of Empirical Finance. 6, 457-477.
Andersen, T., Bollerslev, T. and Meddahi, N., 2005. Correcting the errors: volatility forecast evaluation using high-frequency data and realized volatilities. Econometrica. 73, 279-296.
Andersen, T., Bollerslev, T., Christoffersen, P. and Diebold, F.X., 2006. Volatility and Correlation Forecasting. In (eds.) Elliott, G. Granger, C.W.J. and Timmermann, A. Handbook of Economic Forecasting. North Holland Press, Amsterdam.
Andersen, T., Bollerslev, T., Diebold, F.X. and Ebens, H., 2001a. The distribution of realized stock return volatility. Journal of Financial Economics. 61, 43-76.
Andersen, T., Bollerslev, T., Diebold, F.X. and Labys, P., 2001b. The distribution of realized exchange rate volatility. Journal of the American Statistical Association. 96, 42-55.
Andersen, T., Bollerslev, T., Diebold, F.X. and Labys, P., 2003. Modeling and Forecasting Realized Volatility. Econometrica. 71, 529-626.
Angelidis, T. and Degiannakis, S., 2008. Volatility Forecasting: Intra-day vs. Inter-day Models. Journal of International Financial Markets, Institutions and Money. 18, 449-465.
Barndorff-Nielsen, O.E. and Shephard, N., 2001. Non-Gaussian Ornstein-Uhlenbeck based Models and Some of their Uses in Financial Economics. Journal of the Royal Statistical Society, Series B. 63, 197-241.
Barndorff-Nielsen, O.E. and Shephard, N., 2006. Econometrics of Testing for Jumps in Financial Economics using Bipower Variation. Journal of Financial Econometrics. 4(1), 1-30.
Berkowitz, J., 2001. Testing Density Forecasts, with Applications to Risk Management. Journal of Business and Economic Statistics. 19, 465-474.
- Bollerslev, T., Engle, R.F. and Nelson, D., 1994. ARCH Models, in (eds.) Engle, R.F. and McFadden, D. Handbook of Econometrics. Volume 4, Elsevier Science, Amsterdam, 2959-3038.
Paper not yet in RePEc: Add citation now
Bollerslev, T., Gibson, M. and Zhou, H., 2011a. Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities. Journal of Econometrics. 160, 235-245.
- Bollerslev, T., Marrone, J., Xu, L. and Zhou, H. 2011b. Stock Return Predictability and Variance Risk Premia: Statistical Inference and International Evidence, Federal Reserve Board, Finance and Economics Discussion Series, 2011-52, Washington D.C.
Paper not yet in RePEc: Add citation now
Bollerslev, T., Tauchen, G. and Zhou, H., 2009. Expected stock returns and variance risk premia. Review of Financial Studies. 22, 4463-4492.
Christoffersen, P., 1998. Evaluating Interval Forecasts. International Economic Review. 39, 841-862.
Corsi, F., 2009. A Simple Approximate Long-Memory Model of Realized Volatility. Journal of Financial Econometrics. 7(2), 174-196.
- Corsi, F., Mittnik, S. Pigorsch, C. and Pigorsch, U., 2008. The Volatility of Realised Volatility. Econometric Reviews. 27(1-3), 46-78.
Paper not yet in RePEc: Add citation now
Degiannakis, S., Floros, C. and Livada, A., 2012. Evaluating Value-at-Risk Models before and after the Financial Crisis of 2008: International Evidence. Managerial Finance, 38(4), 436-452.
Diebold, F.X., Gunther, T.A. and Tay, A.S., 1998. Evaluating Density Forecasts with Applications to Financial Risk Management. International Economic Review. 39(4), 863-883.
Engle, R.F. and Manganelli, S., 2004. CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles. Journal of Business and Economic Statistics. 22(4), 367-381.
Engle, R.F., 2000. The Econometrics of ultra-high-frequency data. Econometrica. 68, 1-22.
Giot, P. and Laurent, S., 2004. Modelling Daily Value-at-Risk Using Realized Volatility and ARCH Type Models. Journal of Empirical Finance. 11, 379 – 398.
Granger, C.W.J. and Joyeux, R., 1980. An Introduction to Long Memory Time Series Models and Fractional Differencing. Journal of Time Series Analysis. 1, 15-39.
Granger, C.W.J., 1980. Long Memory Relationships and the Aggregation of Dynamic Models. Journal of Econometrics. 14, 227-238.
Hansen, P.R. and Lunde, A., 2005. A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data. Journal of Financial Econometrics. 3(4), 525-554.
Hansen, P.R. and Lunde, A., 2006. Consistent Ranking of Volatility Models. Journal of Econometrics. 131, 97-121.
Hansen, P.R., 2005. A Test for Superior Predictive Ability. Journal of Business and Economic Statistics. 23, 365-380.
- Jones, C.P., 2011. Can Recent Long-Term Investors Recover from Their 2000–2009 Stock Losses? Journal of Investing, 20(2), 9-14.
Paper not yet in RePEc: Add citation now
Koopman, S., Jungbacker, B., and Hol, E., 2005. Forecasting Daily Variability of the S&P100 Stock Index Using Historical, Realised and Implied Volatility Measurements. Journal of Empirical Finance. 12, 445–475.
Kupiec, P.H., 1995. Techniques for Verifying the Accuracy of Risk Measurement Models. Journal of Derivatives. 3, 73-84.
- Müller, U.A., Dacorogna, M.M., Davé, R.D., Pictet, O.V., Olsen, R.B., Ward, J.R., 1993. Fractals and Intrinsic Time - A Challenge to Econometricians. International AEA Conference on Real Time Econometrics, 14-15 October 1993, Luxembourg.
Paper not yet in RePEc: Add citation now
McAleer, M. and Medeiros, M.C., 2008b. Realized Volatility: A Review, Econometric Reviews. 27(1), 10-45.
McAleer, M., Medeiros, M. C., 2008a. A Multiple Regime Smooth Transition Heterogeneous Autoregressive Model for Long Memory and Asymmetries. Journal of Econometrics. 147, 104-109.
Patton, A.J., 2011. Volatility forecast comparison using imperfect volatility proxies. Journal of Econometrics. 160, 246-256.
- Politis, D.N. and Romano, J.P., 1994. The Stationary Bootstrap. Journal of the American Statistical Association. 89, 1303-1313.
Paper not yet in RePEc: Add citation now
Saez, M., 1997. Option Pricing Under Stochastic Volatility and Stochastic Interest Rate in the Spanish Case. Applied Financial Economics. 7, 379-394.
- Silbun, J., 2009. FTSE 100's recent rally fails to make up for a lost decade, The Telegraph, 31 December 2009, U.K.
Paper not yet in RePEc: Add citation now
Thomakos, D.D. and Wang, T., 2003. Realized Volatility in the Futures Markets. Journal of Empirical Finance. 10, 321-353.
Walsh, D.M. and Tsou, G.Y-G., 1998. Forecasting Index Volatility: Sampling Interval and Non-trading Effects. Applied Financial Economics. 8, 477, 485.
White, H., 2000. A Reality Check for Data Snooping. Econometrica. 68, 1097–1126.
- Xekalaki, E. and Degiannakis, S., 2010. ARCH Models for Financial Applications. John Wiley & Sons Ltd., New York.
Paper not yet in RePEc: Add citation now