Ait-Sahalia, Y., P. Mykland, and L. Zhang, 2004, How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise, Review of Financial Studies, forthcoming.
Albanese, C., K. Jackson, and P. Wiberg, 2004, A New Fourier Transform Algorithm for Value-at-Risk, Quantitative Finance, 4, 328-338.
Alizadeh, S., M. Brandt, and F. Diebold, 2002, Range-Based Estimation of Stochastic Volatility Models, Journal of Finance, 57, 1047-1091.
Andersen, T. and T. Bollerslev, 1997, Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long Run in High Frequency Returns, Journal of Finance, 52, 975-1005.
Andersen, T., T. Bollerslev, F.X. Diebold, and P. Labys, 2000, Exchange Rate Returns Standardized by Realized Volatility are (Nearly) Gaussian, Multinational Finance Journal, 4, 159-179.
- Andersen, T.G., T. Bollerslev, and F.X. Diebold, 2004, Parametric and Nonparametric Volatility Measurement, in L.P. Hansen and Y. Ait-Sahalia (eds.), Handbook of Financial Econometrics. Amsterdam: North-Holland, forthcoming.
Paper not yet in RePEc: Add citation now
Andersen, T.G., T. Bollerslev, F.X. Diebold and C. Vega, 2004, Real-Time Price Discovery in Stock, Bond and Foreign Exchange Markets, Manuscript, Northwestern University, Duke University, University of Pennsylvania, and University of Rochester.
Andersen, T.G., T. Bollerslev, F.X. Diebold and H. Ebens, 2001, The Distribution of Realized Stock Return Volatility, Journal of Financial Economics, 61, 43-76.
Andersen, T.G., T. Bollerslev, F.X. Diebold and P. Labys, 2001, The Distribution of Realized Exchange Rate Volatility, Journal of the American Statistical Association, 96, 42-55.
Andersen, T.G., T. Bollerslev, F.X. Diebold, and P. Labys, 2003, Modeling and Forecasting Realized Volatility, Econometrica, 71, 529-626.
Andersen, T.G., T. Bollerslev, P. Christoffersen and F.X. Diebold, 2005, Volatility Forecasting, in G. Elliott, C. Granger and A. Timmermann (eds.), Handbook of Economic Forecasting. Amsterdam: North-Holland, forthcoming Andersen, T.G., T. Bollerslev, and F.X. Diebold, 2003, Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility, Manuscript, Northwestern University, Duke University and University of Pennsylvania.
Baillie, R.T. and T. Bollerslev, 1992, Prediction in Dynamic Models with Time-Dependent Conditional Variances, Journal of Econometrics, 51, 91-113.
Barndorff-Nielsen, 0. and N. Shephard, 2004, Power and Bipower Variation with Stochastic Volatility and Jumps, Journal of Financial Econometrics, 2, 1-48.
Barndorff-Nielsen, O.E. and N. Shephard, 2001, Non-Gaussian Ornstein-Uhlenbeck-Based Models and Some of Their Uses in Financial Economics (with discussion), Journal of the Royal Statistical Society B, 63, 167-241.
Bates, D., 2000, Post-87 Crash Fears in S&P 500 Futures Options, Journal of Econometrics 94, 18 1-238.
- Benson, P. and P. Zangari, 1997, A General Approach to Calculating Var Without Volatilities and Correlations, RiskMetrics Monitor, 2nd Quarter, 19-23.
Paper not yet in RePEc: Add citation now
Berkowitz, J. and J. OBrien, 2002, How Accurate are Value-at-Risk Models at Commercial Banks?, Journal of Finance, 57, 1093-1112.
Bollerslev, T. and H.O. Mikkelsen, 1999, Long-Term Equity Anticipation Securities and Stock Market Volatility Dynamics, Journal of Econometrics, 92, 75-99.
Bollerslev, T., 1986, Generalized Autoregressive Conditional Heteroskedasticity, Journal of Econometrics, 31, 307-327.
Bollerslev, T., 1987, A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return, Review of Economics and Statistics, 69, 542-547.
Bollerslev, T., R.F. Engle, and J. Wooldridge, 1988, A Capital Asset Pricing Model with Time-Varying Covariances, Journal of Political Economy, 96, 116-131.
- Brandt, M., P. Santa-Clara and R. Valkanov, 2004, Optimal Portfolios with Parametric Weights, Manuscript, Duke University and UCLA.
Paper not yet in RePEc: Add citation now
Christoffersen, P., 2003, Elements of Financial Risk Management. San Diego: Academic Press.
Christoffersen, P., 5. Heston, and K. Jacobs, 2004, Option Valuation with Conditional Skewness, Journal of Econometrics, forthcoming.
Christoffersen, P., and K. Jacobs, 2004, Which GARCH Model for Option Valuation? Management Science, 50, 1204-1221.
- Christoffersen, P., K. Jacobs, and Y. Wang, 2004, Option Valuation with Volatility Components, Manuscript, McGill University.
Paper not yet in RePEc: Add citation now
Diebold, F.X. A. Hickman, A. Inoue, and T. Schuermann, 1998, Converting 1-Day Volatility to h-Day Volatility: Scaling by Root-h is Worse than You Think, Wharton Financial Institutions Center, Working Paper 97-34. Published in condensed form as Scale Models, Risk, 11, 104-107.
Diebold, F.X. and M. Nerlove, 1989, The Dynamics of Exchange Rate Volatility: A Multivariate Latent-Factor ARCH Model, Journal of Applied Econometrics, 4, 1-22.
Diebold, F.X., T. Schuermann, and J. Stroughair, 1998, Pitfalls and Opportunities in the Use of Extreme Value Theory in Risk Management, in A.-P. N. Refenes, A.N. Burgess and J.D.
Engle, R.F. and G.G.J. Lee, 1999, A Permanent and Transitory Component Model of Stock Return Volatility, in R.F. Engle and H. White (eds.), Cointegration, Causality, and Forecasting: A Festschrift in Honor of Clive W.J. Granger, 475-497. Oxford, UK: Oxford University Press.
Engle, R.F. and G.M. Gallo, 2004, A Multiple Indicators Model for Volatility Using Intra-Daily Data, Manuscript, New York University and University of Firenze.
Engle, R.F., 2001, GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics, Journal of Economic Perspectives, 15, 157-168.
Engle, R.F., 2002, Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models, Journal of Business and Economic Statistics, 20, 339-350.
Engle, R.F., 2004, Risk and Volatility: Econometric Models and Financial Practice, American Economic Review, 94, 405-420.
Eraker, B., 2004, Do Stock Prices and Volatility Jump? Reconciling Evidence from Spot and Option Prices, Journal of Finance, 59, 1367-1403.
Fernandez, C. and M.F.J. Steel, 1998, On Bayesian Modeling of Fat Tails and Skewness, Journal of the American Statistical Association, 93, 359-371.
Fleming, J. C. Kirby, and B. Ostdiek, 2003, The Economic Value of Volatility Timing Using Realized Volatility, Journal of Financial Economics, 67, 473-509.
Franses, P.H and C. Hafner, 2003, A Generalized Dynamic Conditional Correlation Model for Many Asset Returns, Manuscript, Erasmus University Rotterdam.
Gallant, A.R., C.T. Hsu, and G.E. Tauchen, 1999, Using Daily Range Data to Calibrate Volatility Diffusions and Extract the Forward Integrated Variance, Review of Economics and Statistics, 81, 617-63 1.
Ghysels, E., P. Santa-Clara and R. Valkanov, 2005, Predicting Volatility: Getting the Most out of Return Data Sampled at Different Frequencies, Journal of Econometrics, forthcoming.
Glasserman, P., P. Heidelberger, and P. Shahbuddin, 2002, Portfolio Value-at-Risk with Heavy-tailed Risk Factors, Mathematical Finance, 239-269.
Glosten, L.R., R. Jagannathan, and D. Runkle, 1993, On the Relation Between the Expected Value and the Volatility of the Nominal Excess Return on Stocks, Journal of Finance, 48, 1779-180 1.
Guidolin, M. and A. Timmermann, 2004, Term Structure of Risk under Alternative Econometric Specifications, Journal of Econometrics, forthcoming.
Hansen, B., 1994, Autoregressive Conditional Density Estimation, International Economic Review, 35, 705-730.
Hansen, P.R. and A. Lunde, 2004, A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data, Manuscript, Stanford University.
Hartmann, P., 5. Straetmans, and C. de Vries, 2004, Banking System Stability: A Cross-Atlantic Perspective, forthcoming as a chapter in this volume.
- Harvey, A.C., 1989, Forecasting Structural Time Series Models and the Kalman Filter, Cambridge University Press.
Paper not yet in RePEc: Add citation now
Harvey, A.C., E. Ruiz, and E. Sentana, 1992, Unobserved Component Time Series Models with ARCH Disturbances, Journal of Econometrics, 52, 129-157.
Heston, 5., 1993, A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options, Review of Financial Studies 6, 327-343.
- Heston, S. and S. Nandi, 2000, A Closed-Form GARCH Option Pricing Model, Review of Financial Studies 13, 585-626.
Paper not yet in RePEc: Add citation now
- Hull, J., and A. White, 1998, Incorporating Volatility Updating into the Historical Simulation Method for VaR, Journal of Risk 1, 5-19.
Paper not yet in RePEc: Add citation now
Jackson, P., D. Maude and W. Perraudin, 1997, Bank Capital and Value at Risk, Journal of Derivatives, 4, 73-89.
Jondeau, E. and M. Rockinger, 2004, The Copula-GARCH Model of Conditional Dependence: An International Stock Market Application, Journal of International Money and Finance, forthcoming.
Ledoit, 0., and M. Wolf, 2003, Improved Estimation of the Covariance Matrix of Stock Returns with an Application to Portfolio Selection, Journal of Empirical Finance, 10, 603-62 1.
Ledoit, 0., P. Santa-Clara, and M. Wolf, 2003, Flexible Multivariate GARCH Modeling with an Application to International Stock Markets, Review of Economics and Statistics, 85, 735747.
Longin, F. And B. Solnik, 2001, Extreme Correlation of International Equity Markets, Journal of Finance, 56, 649-676.
Manganelli, 5., 2004, Asset Allocation by Variance Sensitivity Analysis, Journal of Financial Econometrics, 2, 370 - 389.
- Martens, M., 2004, Estimating Unbiased and Precise Realized Covariances, Manuscript, Erasmus University Rotterdam.
Paper not yet in RePEc: Add citation now
McNeil, A.J. and R. Frey, 2000, Estimation of Tail-Related Risk Measures for Heteroskedastic Financial Time Series: An Extreme Value Approach, Journal of Empirical Finance, 7, 27 1-300.
- Moody (eds.), Decision Technologies for Computational Finance, 3-12. Amsterdam: Kluwer Academic Publishers. (Reprinted in Journal of Risk Finance, 1 (Winter 2000), 30-36, and in P. Embrechts (ed.), Extremes and Integrated Risk Management. London: Risk Publications, 2000.) Duffie, D. and J. Pan, 1997, An Overview of Value at Risk, Journal of Derivatives, Spring, 7-49.
Paper not yet in RePEc: Add citation now
Nerlove, M. and S. Wage, 1964, On the Optimality of Adaptive Forecasting, Management Science, 10, 207-229.
- Pan, J., 2002, The Jump-Risk Premia Implicit in Options: Evidence from an Integrated TimeSeries Study, Journal of Financial Economics, 63, 3-50.
Paper not yet in RePEc: Add citation now
- Patton, A.J., 2002, Modeling Time-varying Exchange Rate Dependence Using the Conditional Copula. Working paper, LSE.
Paper not yet in RePEc: Add citation now
Pelletier, D., 2004, Regime Switching for Dynamic Correlations, Journal of Econometrics, forthcoming.
Pesaran, H., and P. Zaffaroni, 2004, Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management, Manuscript, University of Cambridge.
Poon, S.-H., M. Rockinger, and J. Tawn, 2004, Extreme Value Dependence in Financial Markets: Diagnostics, Models and Financial Implications, Review of Financial Studies, 17, 581-610.
Pritsker, M., 2001, The Hidden Dangers of Historical Simulation, Manuscript, Federal Reserve Board.
Scholes, M., and J.T. Williams, 1977, Estimating Betas from Nonsynchronous Data, Journal of Financial Economics, 5, 309-327.