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Estimating GARCH volatility in the presence of outliers
13 references·11 citing·35 second hop
Estimating GARCH volatility in the presence of outliers (2011)Estimating GARCH volatility in the presen…Wavelet-based detection of outliers in financial time series (2010)Wavelet-based detection of ou…Robust estimates for GARCH models (2007)Robust estimates for GARCH mo…Large shocks and the September 11th terrorist attacks on international stock markets (2006)Large shocks and the Septembe…Effects of outliers on the identification and estimation of GARCH models (2006)Effects of outliers on the id…Outliers and GARCH models in financial data (2004)Outliers and GARCH models in …The Impact of Jumps in Volatility and Returns (2003)The Impact of Jumps in Volati…Least absolute deviations estimation for ARCH and GARCH models (2003)Least absolute deviations est…The Message in Daily Exchange Rates (2002)The Message in Daily Exchange…Testing for ARCH in the presence of additive outliers (1999)Testing for ARCH in the prese…Additive outliers, GARCH and forecasting volatility (1999)Additive outliers, GARCH and …High Breakdown Point Conditional Dispersion Estimation with Application to S & P 500 Daily Returns Volatility (1998)High Breakdown Point Conditio…The Message in Daily Exchange Rates: A Conditional-Variance Tale (1989)The Message in Daily Exchange…A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return (1987)A Conditionally Heteroskedast…Outliers and Time-Varying Jumps in the Cryptocurrency Markets (2022)Outliers and Time-Varying Jum…Forecasting volatility during the outbreak of Russian invasion of Ukraine: Application to commodities, stock indices, currencies, and cryptocurrencies (2022)Forecasting volatility during…A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies (2022)A comparison of methods for f…A Model Confidence Set approach to the combination of multivariate volatility forecasts (2020)A Model Confidence Set approa…Value-at-risk and expected shortfall in cryptocurrencies’ portfolio: a vine copula–based approach (2019)Value-at-risk and expected sh…The accuracy of asymmetric GARCH model estimation (2018)The accuracy of asymmetric GA…Robust bootstrap forecast densities for GARCH returns and volatilities (2017)Robust bootstrap forecast den…Bootstrap prediction in univariate volatility models with leverage effect (2015)Bootstrap prediction in univa…Testing for jumps in conditionally Gaussian ARMA–GARCH models, a robust approach (2014)Testing for jumps in conditio…Large shocks in the volatility of the Dow Jones Industrial Average index: 1928–2013 (2014)Large shocks in the volatilit…Revisiting Several Popular GARCH Models with Leverage Effect: Differences and Similarities (2012)Revisiting Several Popular GA…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)ARCH modeling in finance (1992)The role of outliers and oil price shocks on volatility of metal prices (2015)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Fractionally integrated generalized autoregressive conditional heteroskedasticity (1996)Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models (1998)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Volatility persistence in crude oil markets (2013)Do Bitcoin and other cryptocurrencies jump together? (2019)Forecasting Bitcoin risk measures: A robust approach (2019)Specification Tests in Econometrics (1978)Learning and Asset Prices Under Ambiguous Information (2007)Testing for a Unit Root in Time Series Regression (1988)Bivariate garch estimation of the optimal commodity futures Hedge (1991)ARCH MODELS: PROPERTIES, ESTIMATION AND TESTING (1993)Modeling and Forecasting Realized Volatility (2001)Option pricing when underlying stock returns are discontinuous (1976)On estimating the expected return on the market (1980)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Do Stock Prices and Volatility Jump? Reconciling Evidence from Spot and Option Prices (2004)Does Net Buying Pressure Affect the Shape of Implied Volatility Functions? (2004)Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (2007)Self-weighted and local quasi-maximum likelihood estimators for ARMA-GARCH/IGARCH models (2006)Quasi-Maximum Likelihood Estimation of GARCH Models With Heavy-Tailed Likelihoods (2013)A Practical Guide to Forecasting Financial Market Volatility (2005)Evaluating Value-at-Risk Models via Quantile Regression (2010)An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market (2020)Global financial crisis and emerging stock market contagion: A volatility impulse response function approach (2015)Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note (2018)Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models (2019)Inequality Constraints in the Univariate GARCH Model (1992)MODELING STOCHASTIC VOLATILITY: A REVIEW AND COMPARATIVE STUDY (1994)From the bird's eye to the microscope: A survey of new stylized facts of the intra-daily foreign exchange markets (1997)
this work references cited by second hop

References

  • 1987A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return2,569 cited
  • 2003The Impact of Jumps in Volatility and Returns1,469 cited
  • 2002The Message in Daily Exchange Rates791 cited
  • 1989The Message in Daily Exchange Rates: A Conditional-Variance Tale647 cited
  • 1999Additive outliers, GARCH and forecasting volatility266 cited
  • 2003Least absolute deviations estimation for ARCH and GARCH models179 cited
  • 1999Testing for ARCH in the presence of additive outliers155 cited
  • 1998High Breakdown Point Conditional Dispersion Estimation with Application to S & P 500 Daily Returns Volatility148 cited
  • 2006Large shocks and the September 11th terrorist attacks on international stock markets145 cited
  • 2007Robust estimates for GARCH models131 cited
  • 2006Effects of outliers on the identification and estimation of GARCH models105 cited
  • 2004Outliers and GARCH models in financial data90 cited
  • 2010Wavelet-based detection of outliers in financial time series80 cited

Cited by

  • 2014Large shocks in the volatility of the Dow Jones Industrial Average index: 1928–201374 cited
  • 2014Testing for jumps in conditionally Gaussian ARMA–GARCH models, a robust approach

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69 cited
  • 2019Value-at-risk and expected shortfall in cryptocurrencies’ portfolio: a vine copula–based approach69 cited
  • 2012Revisiting Several Popular GARCH Models with Leverage Effect: Differences and Similarities66 cited
  • 2022A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies41 cited
  • 2022Forecasting volatility during the outbreak of Russian invasion of Ukraine: Application to commodities, stock indices, currencies, and cryptocurrencies35 cited
  • 2018The accuracy of asymmetric GARCH model estimation33 cited
  • 2017Robust bootstrap forecast densities for GARCH returns and volatilities31 cited
  • 2022Outliers and Time-Varying Jumps in the Cryptocurrency Markets28 cited
  • 2015Bootstrap prediction in univariate volatility models with leverage effect25 cited
  • 2020A Model Confidence Set approach to the combination of multivariate volatility forecasts25 cited