ANSWERING THE SKEPTICS: YES, STANDARD VOLATILITY MODELS DO PROVIDE ACCURATE FORECASTS*
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[1] B. Mandelbrot. The Variation of Certain Speculative Prices , 1963 .
[2] E. Fama. The Behavior of Stock-Market Prices , 1965 .
[3] G. Box,et al. On a measure of lack of fit in time series models , 1978 .
[4] R. C. Merton,et al. On Estimating the Expected Return on the Market: An Exploratory Investigation , 1980 .
[5] M. Parkinson. The Extreme Value Method for Estimating the Variance of the Rate of Return , 1980 .
[6] M. J. Klass,et al. On the Estimation of Security Price Volatilities from Historical Data , 1980 .
[7] R. Engle. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .
[8] Walter N. Torous,et al. The Maximum Likelihood Estimation of Security Price Volatility: Theory, Evidence, and Application to Option Pricing , 1984 .
[9] T. Bollerslev,et al. Generalized autoregressive conditional heteroskedasticity , 1986 .
[10] Thomas H. McCurdy,et al. Testing the Martingale Hypothesis in Deutsche Mark Futures with Models Specifying the Form of Heteroskedasticity , 1988 .
[11] H. Iemoto. Modelling the persistence of conditional variances , 1986 .
[12] Louis O. Scott. Option Pricing when the Variance Changes Randomly: Theory, Estimation, and an Application , 1987, Journal of Financial and Quantitative Analysis.
[13] James B. Wiggins. Option values under stochastic volatility: Theory and empirical estimates , 1987 .
[14] Ioannis Karatzas,et al. Brownian Motion and Stochastic Calculus , 1987 .
[15] T. Bollerslev,et al. A CONDITIONALLY HETEROSKEDASTIC TIME SERIES MODEL FOR SPECULATIVE PRICES AND RATES OF RETURN , 1987 .
[16] Alan G. White,et al. The Pricing of Options on Assets with Stochastic Volatilities , 1987 .
[17] Adrian Pagan,et al. The Econometric Analysis of Models with Risk Terms , 1988 .
[18] G. Schwert. Why Does Stock Market Volatility Change Over Time? , 1988 .
[19] Adrian Pagan,et al. Alternative Models for Conditional Stock Volatility , 1989 .
[20] R. Baillie,et al. The Message in Daily Exchange Rates , 1989 .
[21] G. Schwert,et al. Heteroskedasticity in Stock Returns , 1989 .
[22] V. Akgiray. Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecasts , 1989 .
[23] Daniel B. Nelson. ARCH models as diffusion approximations , 1990 .
[24] Elroy Dimson,et al. Volatility forecasting without data-snooping , 1990 .
[25] G. William Schwert,et al. Stock Volatility and the Crash , 1990 .
[26] David Hsieh. Chaos and Nonlinear Dynamics: Application to Financial Markets , 1991 .
[27] L. Rogers,et al. Estimating Variance From High, Low and Closing Prices , 1991 .
[28] Hernán Sabau,et al. Consistency tests for heteroskedastic and risk models , 1992 .
[29] T. Day,et al. Stock market volatility and the information content of stock index options , 1992 .
[30] J. Wooldridge,et al. Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances , 1992 .
[31] Dean P. Foster,et al. Filtering and Forecasting with Misspecified Arch Models Ii: Making the Right Forecast with the Wrong Model , 1992 .
[32] Daniel B. Nelson,et al. Filtering and Forecasting with Misspecified Arch Models Ii: Making the Right Forecast with the Wrong Model , 1992 .
[33] K. West,et al. A Utility Based Comparison of Some Models of Exchange Rate Volatility , 1992 .
[34] Naoto Kunitomo,et al. Improving the Parkinson Method of Estimating Security Price Volatilities , 1992 .
[35] Peter E. Rossi,et al. Stock Prices and Volume , 1992 .
[36] R. Chou,et al. ARCH modeling in finance: A review of the theory and empirical evidence , 1992 .
[37] Filtering and Forecasting with Misspecified Arch Models II: Making the Right Forecast with the Wrong Model , 1992 .
[38] David A. Hsieh,et al. Implications of Nonlinear Dynamics for Financial Risk Management , 1993, Journal of Financial and Quantitative Analysis.
[39] Stephen Figlewski,et al. Forecasting Volatilities and Correlations with EGARCH Models , 1993 .
[40] Stephen Figlewski,et al. The Informational Content of Implied Volatility , 1993 .
[41] T. Nijman,et al. Temporal Aggregation of GARCH Processes. , 1993 .
[42] K. West,et al. The Predictive Ability of Several Models of Exchange Rate Volatility , 1994 .
[43] Daniel B. Nelson. Asymptotic Filtering Theory for Multivariate Arch Models , 1994 .
[44] C. Sims,et al. Estimation of continuous-time models in finance , 1994 .
[45] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[46] Dean P. Foster,et al. Continuous Record Asymptotics for Rolling Sample Variance Estimators , 1994 .
[47] Peter E. Rossi,et al. Bayesian Analysis of Stochastic Volatility Models , 1994 .
[48] Dean P. Foster,et al. Asypmtotic Filtering Theory for Univariate Arch Models , 1994 .
[49] Daniel B. Nelson,et al. ARCH MODELS a , 1994 .
[50] T. Andersen. Stochastic Autoregressive Volatility: A Framework for Volatility Modeling , 1994 .
[51] Harry M. Kat,et al. Volatility Prediction , 1994 .
[52] John Geweke,et al. Monte carlo simulation and numerical integration , 1995 .
[53] Jose A. Lopez. Evaluating the Predictive Accuracy of Volatility Models , 2001 .
[54] Robin L. Lumsdaine,et al. Finite-Sample Properties of the Maximum Likelihood Estimator in GARCH(1,1) and IGARCH(1,1) Models: A Monte Carlo Investigation , 1995 .
[55] Philippe Jorion. Predicting Volatility in the Foreign Exchange Market , 1995 .
[56] An evaluation of alternative models for predicting stock volatility: Evidence from a small market , 1995 .
[57] Tim Bollerslev,et al. Dm-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies , 1996 .
[58] B. Werker,et al. Closing the GARCH gap: Continuous time GARCH modeling , 1996 .
[59] T. Andersen. Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility , 1996 .
[60] T. Brailsford,et al. An evaluation of volatility forecasting techniques , 1996 .
[61] T. Bollerslev,et al. MODELING AND PRICING LONG- MEMORY IN STOCK MARKET VOLATILITY , 1996 .
[62] N. Shephard. Statistical aspects of ARCH and stochastic volatility , 1996 .
[63] R. Baillie,et al. Fractionally integrated generalized autoregressive conditional heteroskedasticity , 1996 .
[64] Philippe Jorion. Risk and Turnover in the Foreign Exchange Market , 1996 .
[65] A. Harvey,et al. 5 Stochastic volatility , 1996 .
[66] F. Diebold,et al. How Relevant is Volatility Forecasting for Financial Risk Management? , 1997 .
[67] T. Bollerslev,et al. Intraday periodicity and volatility persistence in financial markets , 1997 .
[68] David I. Harvey. The evaluation of economic forecasts , 1997 .
[69] Anthony S. Tay,et al. Evaluating Density Forecasts , 1997 .
[70] C. Goodhart,et al. High frequency data in financial markets: Issues and applications , 1997 .
[71] Jacob Boudoukh,et al. Investigation of a Class of Volatility Estimators , 1997 .
[72] T. Bollerslev,et al. Deutsche Mark–Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies , 1998 .
[73] N. Prabhala,et al. The relation between implied and realized volatility , 1998 .
[74] É. Renault,et al. Aggregations and Marginalization of Garch and Stochastic Volatility Models , 1998 .
[75] Per Frennberg,et al. An Evaluation of Alternative Models for Predicting Stock Volatility: Evidence from a Small Stock Market , 1998 .
[76] Peter F. Christoffersen. Evaluating Interval Forecasts , 1998 .
[77] J. C. Sosa. On the informational content of implied volatility , 2000 .
[78] Peter E. Rossi,et al. Modelling stock market volatility : bridging the gap to continuous time , 2000 .