- ——— (1987), “A conditionally heteroskedastic time series model for speculative prices and rates of returnâ€Â, The review of economics and statistics, 542–547.
Paper not yet in RePEc: Add citation now
- ——— (1991), “Conditional heteroskedasticity in asset returns: A new approachâ€Â, Econometrica, 59(2), 347–370.
Paper not yet in RePEc: Add citation now
- ——— (2003), “Modeling and forecasting realized volatilityâ€Â, Econometrica, 71(2), 579–625.
Paper not yet in RePEc: Add citation now
- ——— (2005b), “A realized variance for the whole day based on intermittent high-frequency dataâ€Â, Journal of Financial Econometrics, 3(4), 525–554.
Paper not yet in RePEc: Add citation now
- ——— (2006), “Realized variance and market microstructure noiseâ€Â, Journal of Business & Economic Statistics, 24(2), 127–161.
Paper not yet in RePEc: Add citation now
- ——— (2006), “Variation, jumps and high frequency data in financial econometricsâ€Â, Advanced in Economics and Econometrics. Theory and Applications.
Paper not yet in RePEc: Add citation now
- ——— (2009), “Realized kernels in practice: Trades and quotesâ€Â, The Econometrics Journal, 12(3), C1–C32.
Paper not yet in RePEc: Add citation now
- ——— (2014), “Theoretical results on fractionally integrated exponential generalized autoregressive conditional heteroskedastic processesâ€Â, Physica A: Statistical Mechanics and its Applications, 401, 278–307.
Paper not yet in RePEc: Add citation now
- Andersen, T. G. and L. Benzoni (2008), “Realized volatilityâ€Â, in “Handbook of Financial Time Seriesâ€Â, Springer, p. 554–575. Andersen, T. G. and T. Bollerslev (1998), “Answering the skeptics: Yes, standard volatility models do provide accurate forecastsâ€Â, International economic review, 885–905.
Paper not yet in RePEc: Add citation now
Andersen, T. G., D. Dobrev and E. Schaumburg (2012), “Jump-robust volatility estimation using nearest neighbor truncationâ€Â, Journal of Econometrics, 169(1), 75–93.
Andersen, T. G., T. Bollerslev and F. X. Diebold (2007), “Roughing it up: Including jump components in the measurement, modeling, and forecasting of return volatilityâ€Â, The Review of Economics and Statistics, 89(4), 701–720.
- Andersen, T. G., T. Bollerslev, F. Diebold and P. Labys (2001), “The distribution of realized exchange rate volatilityâ€Â, Journal of the American statistical association, 96, 42–55.
Paper not yet in RePEc: Add citation now
- Anderson, H. M., K. Nam and F. Vahid (1999), “Asymmetric nonlinear smooth transition GARCH modelsâ€Â, in “Nonlinear time series analysis of economic and financial dataâ€Â, Springer, p. 191–207.
Paper not yet in RePEc: Add citation now
Baillie, R. T., T. Bollerslev and H. O. Mikkelsen (1996), “Fractionally integrated generalized autoregressive conditional heteroskedasticity â€Â, Journal of econometrics, 74(1), 3–30.
- Bandi, F. M. and J. R. Russell (2008), “Microstructure noise, realized variance, and optimal samplingâ€Â, The Review of Economic Studies, 75(2), 339–369.
Paper not yet in RePEc: Add citation now
Barigozzi, M., C. Brownlees, G. M. Gallo and D. Veredas (2014), “Disentangling systematic and idiosyncratic dynamics in panels of volatility measuresâ€Â, Journal of Econometrics, 182(2), 364–384.
- Barndorff-Nielsen, O. E. and N. Shephard (2004), “Power and bipower variation with stochastic volatility and jumpsâ€Â, Journal of financial econometrics, 2(1), 1–37.
Paper not yet in RePEc: Add citation now
Barndorff-Nielsen, O. E., P. R. Hansen, A. Lunde and N. Shephard (2008), “Designing realized kernels to measure the ex post variation of equity prices in the presence of noiseâ€Â, Econometrica, 76(6), 1481–1536.
- Black, F. (1976), “Studies in stock price volatility changesâ€Â, Proceedings of the 1976 business meeting of the business and economics section, American Statistical Association, 177-181.
Paper not yet in RePEc: Add citation now
- Bollerslev, T. (1986), “Generalized autoregressive conditional heteroskedasticityâ€Â, Journal of econometrics, 31(3), 307–327.
Paper not yet in RePEc: Add citation now
Bollerslev, T. and H. Mikkelsen (1996), “Modeling and pricing long memory in stock market volatilityâ€Â, Journal of Econometrics, 73(1), 151–184.
- Bollerslev, T. and J. M. Wooldridge (1992), “Quasi-maximum likelihood estimation and inference in dynamic models with timevarying covariancesâ€Â, Econometric reviews, 11(2), 143–172.
Paper not yet in RePEc: Add citation now
- Brockwell, P. J. and R. A. Davis (1991), Time Series: Theory and Methods, 2e eÃŒÂd., Springer- Verlag.
Paper not yet in RePEc: Add citation now
- Caporin, M. (2003), “Identification of long memory in GARCH modelsâ€Â, Statistical Methods and Applications, 12(2), 133–151.
Paper not yet in RePEc: Add citation now
- Christensen, B. J., M. Ø. Nielsen and J. Zhu (2010a), “Long memory in stock market volatility and the volatility-in-mean effect: the FIEGARCH-M modelâ€Â, Journal of Empirical Finance, 17(3), 460–470.
Paper not yet in RePEc: Add citation now
- Christensen, K., R. Oomen and M. Podolskij (2010b), “Realised quantile-based estimation of the integrated varianceâ€Â, Journal of Econometrics, 159(1), 74–98.
Paper not yet in RePEc: Add citation now
Christoffersen, P., B. Feunou, K. Jacobs and N. Meddahi (2012), “The economic value of realized volatility: Using high-frequency returns for option valuationâ€Â, Working paper, Bank of Canada Working Paper.
Corsi, F. (2009), “A simple approximate long-memory model of realized volatilityâ€Â, Journal of Financial Econometrics, 7(2), 174–196.
Davidson, J. (2004), “Moment and memory properties of linear conditional heteroscedasticity models, and a new modelâ€Â, Journal of Business & Economic Statistics, 22(1).
- Diebold, F. X. and A. Inoue (2001), “Long memory and regime switchingâ€Â, Journal of econometrics, 105(1), 131–159.
Paper not yet in RePEc: Add citation now
- Engle, R. (2002), “New frontiers for ARCH modelsâ€Â, Journal of Applied Econometrics, 17(5), 425–446.
Paper not yet in RePEc: Add citation now
Engle, R. F. (1982), “Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflationâ€Â, Econometrica, 159, 987–1007.
- Engle, R. F. and G. G. J. Lee (1999), “A Permanent and Transitory Component Model of Stock Return Volatilityâ€Â, in “Cointegration, Causality, and Forecasting: A Festschrift in Honor of Clive W. J. Grangerâ€Â, , edited by R. F. Engle and H. White, Oxford University Press, Oxford, p. 475–497.
Paper not yet in RePEc: Add citation now
Engle, R. F. and G. M. Gallo (2006), “A multiple indicators model for volatility using intra-daily dataâ€Â, Journal of Econometrics, 131(1), 3–27.
- Engle, R. F. and T. Bollerslev (1986), “Modelling the Persistence in Conditional Variancesâ€Â, Econometric Reviews, 5(1), 1–50.
Paper not yet in RePEc: Add citation now
- Engle, R. F. and V. Ng (1993), “Measuring and testing the impact of news on volatilityâ€Â, Journal of Finance, 48, 1747–1778.
Paper not yet in RePEc: Add citation now
- FernaÃŒÂndez, C. and M. F. Steel (1998), “On Bayesian modeling of fat tails and skewnessâ€Â, Journal of the American Statistical Association, 93(441), 359–371.
Paper not yet in RePEc: Add citation now
- Giraitis, L., R. Leipus and D. Surgailis (2009), “ARCH (∞) models and long memory propertiesâ€Â, in “Handbook of Financial Time Seriesâ€Â, Springer, p. 71–84.
Paper not yet in RePEc: Add citation now
- Glosten, L. R., R. Jagannathan and D. E. Runkle (1993), “On the relation between the expected value and the volatility of the nominal excess return on stocksâ€Â, Journal of Finance, 48, 1779–1801.
Paper not yet in RePEc: Add citation now
- GonzaÃŒÂlez-Rivera, G. (1998), “Smooth-transition GARCH modelsâ€Â, Studies in Nonlinear Dynamics & Econometrics, 3(2).
Paper not yet in RePEc: Add citation now
- Hansen, N., A. Lunde, K. Olesen and H. Vander Elst (2014a), “Realizing Commodity Correlations and the Market Betaâ€Â, CREATES Working Paper.
Paper not yet in RePEc: Add citation now
- Hansen, P. R. (2009), “In-sample fit and out-of-sample fit: Their joint distribution and its implications for model selectionâ€Â, Working paper Department of economics, Stanford University, 23, 2009.
Paper not yet in RePEc: Add citation now
- Hansen, P. R. and A. Lunde (2005a), “A forecast comparison of volatility models: does anything beat a GARCH (1, 1)?â€Â, Journal of applied econometrics, 20(7), 873–889.
Paper not yet in RePEc: Add citation now
Hansen, P. R. and Z. Huang (2012), “Exponential GARCH Modeling with Realized Measures of Volatilityâ€Â, Creates research papers, School of Economics and Management, University of Aarhus.
- Hansen, P. R., A. Lunde and J. M. Nason (2011), “The model confidence setâ€Â, Econometrica, 79(2), 453–497.
Paper not yet in RePEc: Add citation now
- Hansen, P. R., A. Lunde and V. Voev (2014b), “Realized beta GARCH: a multivariate GARCH model with realized measures of volatilityâ€Â, Journal of Applied Econometrics.
Paper not yet in RePEc: Add citation now
Hansen, P. R., Z. Huang and H. H. Shek (2012), “Realized garch: a joint model for returns and realized measures of volatilityâ€Â, Journal of Applied Econometrics, 27(6), 877–906.
- Jacod, J., Y. Li, P. A. Mykland, M. Podolskij and M. Vetter (2009), “Microstructure noise in the continuous case: the pre-averaging approachâ€Â, Stochastic Processes and their Applications, 119(7), 2249–2276.
Paper not yet in RePEc: Add citation now
- Jensen, S. T. and A. Rahbek (2004), “Asymptotic inference for nonstationary GARCHâ€Â, Econometric Theory, 20(06), 1203–1226.
Paper not yet in RePEc: Add citation now
- Kazakevicius, V. and R. Leipus (2002), “On Stationarity in the ARCH (∞) Modelâ€Â, Econometric Theory, 18(01), 1–16.
Paper not yet in RePEc: Add citation now
- Lambert, P., S. Laurent and D. Veredas (2012), “Testing conditional asymmetry: A residual-based approachâ€Â, Journal of Economic Dynamics and Control, 36(8), 1229–1247.
Paper not yet in RePEc: Add citation now
Lee, S.-W. and B. E. Hansen (1994), “Asymptotic theory for the GARCH (1, 1) quasi-maximum likelihood estimatorâ€Â, Econometric theory, 10(01), 29–52.
- Lopes, S. R. and T. S. Prass (2013), “Seasonal FIEGARCH processesâ€Â, Computational Statistics & Data Analysis, 68, 262–295.
Paper not yet in RePEc: Add citation now
Luciani, M. and D. Veredas (2015), “Estimating and Forecasting Large Panels of Volatilities with Approximate Dynamic Factor Modelsâ€Â, Journal of Forecasting, forthcoming.
- Mandelbrot, B. (1963), “The Variation of Certain Speculative Pricesâ€Â, Journal of Business, 36(4), 394–419.
Paper not yet in RePEc: Add citation now
McAleer, M. and M. C. Medeiros (2008), “Realized volatility: A reviewâ€Â, Econometric Reviews, 27(1-3), 10–45.
Müller, U., M. M. Dacorogna, R. D. DaveÃŒÂ, R. B. Olsen, O. V. Pictet and J. E. von Weizsacker (1997), “Volatilities of different time resolutions - Analyzing the dynamics of market componentsâ€Â, Journal of Financial Economics, 4, 213–239.
- Nelson, D. B. (1990), “Stationarity and persistence in the GARCH (1, 1) modelâ€Â, Econometric theory, 6(03), 318–334.
Paper not yet in RePEc: Add citation now
- Paparoditis, E. and D. N. Politis (2009), “Resampling and subsampling for financial time seriesâ€Â, in “Handbook of financial time seriesâ€Â, Springer, p. 983–999.
Paper not yet in RePEc: Add citation now
Patton, A. J. (2011), “Volatility forecast comparison using imperfect volatility proxiesâ€Â, Journal of Econometrics, 160(1), 246–256.
- Patton, A. J. and K. Sheppard (2009), “Evaluating volatility and correlation forecastsâ€Â, in “Handbook of financial time seriesâ€Â, Springer, p. 801–838.
Paper not yet in RePEc: Add citation now
- Podolskij, M. and M. Vetter (2009), “Estimation of volatility functionals in the simultaneous presence of microstructure noise and jumpsâ€Â, Bernoulli, 15(3), 634–658.
Paper not yet in RePEc: Add citation now
- Robinson, P. M., P. Zaffaroni et al. (2006), “Pseudo-maximum likelihood estimation of ARCH (∞) modelsâ€Â, The Annals of Statistics, 34(3), 1049–1074.
Paper not yet in RePEc: Add citation now
- Sentana, E. (1995), “Quadratic ARCH modelsâ€Â, Review of Economic Studies, 62(4), 639–661.
Paper not yet in RePEc: Add citation now
- Shephard, N. and K. Sheppard (2010), “Realising the future: forecasting with high-frequency-based volatility (HEAVY) modelsâ€Â, Journal of Applied Econometrics, 25(2), 197–231.
Paper not yet in RePEc: Add citation now
- Teräsvirta, T. (2009), “An introduction to univariate GARCH modelsâ€Â, in “Handbook of Financial Time Seriesâ€Â, Springer, p. 17–42.
Paper not yet in RePEc: Add citation now
- Tsay, R. S. (2005), Analysis of financial time series, t. 543, John Wiley & Sons.
Paper not yet in RePEc: Add citation now
- Tse, Y. (1998), “The conditional heteroskedasticity of the Yen-Dollar exchange rateâ€Â, Journal of Applied Econometrics, 13(1), 49–55.
Paper not yet in RePEc: Add citation now
Vander Elst, H. and D. Veredas (2014), “Disentangled jump-robust realized covariances and correlations with non-synchronous pricesâ€Â, ECARES WP 2014/35.
Visser, M. P. (2010), “Garch parameter estimation using high-frequency dataâ€Â, Journal of Financial Econometrics, nbq017.
- Zaffaroni, P. (2004), “Stationarity and memory of ARCH(∞) modelsâ€Â, Econometric theory, 20(01), 147–160.
Paper not yet in RePEc: Add citation now
- Zakoian, J.-M. (1994), “Threshold heteroskedastic modelsâ€Â, Journal of Economic Dynamics and Control, 18, 931–955.
Paper not yet in RePEc: Add citation now
- Zhang, L., P. A. Mykland and Y. Aı̈t-Sahalia (2005), “A tale of two time scalesâ€Â, Journal of the American Statistical Association, 100(472).
Paper not yet in RePEc: Add citation now
- Zhou, B. (1996), “High-frequency data and volatility in foreign-exchange ratesâ€Â, Journal of Business & Economic Statistics, 14(1), 45–52.
Paper not yet in RePEc: Add citation now