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GARCH Models
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GARCH Models (2019)GARCH ModelsComparing Statistical and Machine Learning Methods for Time Series Forecasting in Data-Driven Logistics—A Simulation Study (2024)Comparing Statistical and Mac…From Constant to Rough: A Survey of Continuous Volatility Modeling (2023)From Constant to Rough: A Sur…Comparison of Value at Risk (VaR) Multivariate Forecast Models (2022)Comparison of Value at Risk (…Volatility Modeling: An Overview of Equity Markets in the Euro Area during COVID-19 Pandemic (2021)Volatility Modeling: An Overv…Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach (2021)Forecasting Conditional Covar…A new GJR‐GARCH model for ℤ‐valued time series (2021)A new GJR‐GARCH model for ℤ‐v…Risk Estimation with a Time-Varying Probability of Zero Returns (2020)Risk Estimation with a Time-V…Fractal analysis of market (in)efficiency during the COVID-19 (2020)Fractal analysis of market (i…Inference in (M)GARCH Models in the Presence of Additive Outliers: Specification, Estimation, and Prediction (2018)Inference in (M)GARCH Models …Non-affine GARCH Option Pricing Models, Variance-Dependent Kernels, and Diffusion Limits* (2017)Non-affine GARCH Option Prici…GARCH Modelling of Cryptocurrencies (2017)GARCH Modelling of Cryptocurr…GARCH Modeling of Cryptocurrencies (2017)GARCH Modeling of Cryptocurre…Time Series Models with an EGB2 Conditional Distribution (2014)Time Series Models with an EG…On the Modeling of Financial Time Series (2014)On the Modeling of Financial …Multivariate variance targeting in the BEKK-GARCH model (2013)Multivariate variance targeti…Dynamic Conditional Correlation: On Properties and Estimation (2009)Dynamic Conditional Correlati…Applied Probability and Queues (1987)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Modelling Extremal Events (1997)Public Expenditure Distribution, Voting, and Growth (2014)INEQUALITY AND TRUST: NEW EVIDENCE FROM PANEL DATA (2015)Discretion and Supplier Selection in Public Procurement (2018)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)5 Stochastic volatility (1996)Long memory processes and fractional integration in econometrics (1996)Intraday periodicity and volatility persistence in financial markets (1997)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018)Does global economic uncertainty matter for the volatility and hedging effectiveness of Bitcoin? (2018)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)Multivariate Simultaneous Generalized ARCH (1995)Dynamic Conditional Correlation (2002)Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models (2010)Is the Potential for International Diversification Disappearing? A Dynamic Copula Approach (2012)Robust ranking of multivariate GARCH models by problem dimension (2012)The Pricing of Options and Corporate Liabilities (1973)A Discrete-Time Hedging Framework with Multiple Factors and Fat Tails: On What Matters (2020)Valuation of VIX and Target Volatility Options with Affine GARCH Models (2020)Distribution of the Estimators for Autoregressive Time Series With a Unit Root (1979)Smart beta portfolio investment strategy during the COVID-19 pandemic in Indonesia (2022)The impact of the COVID 19 pandemic on stock market volatility: evidence from a selection of developed and emerging stock markets (2024)Evaluating the Resilience of ESG Investments in European Markets During Turmoil Periods (2025)A long memory property of stock market returns and a new model (1993)Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes (2004)A Systematic Review of INGARCH Models for Integer-Valued Time Series (2023)Conditional-mean multiplicative operator models for count time series (2023)Introduction to Time Series and Forecasting (2002)Time series forecasting using a hybrid ARIMA and neural network model (2003)Forecasting at Scale (2017)High-Performance Modelling and Simulation for Big Data Applications (2019)Enhancing Bitcoin Price Fluctuation Prediction Using Attentive LSTM and Embedding Network (2020)
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  • 2014On the Modeling of Financial Time Series403 cited
  • 2017GARCH Modelling of Cryptocurrencies386 cited
  • 2014Time Series Models with an EGB2 Conditional Distribution130 cited
  • 2020Fractal analysis of market (in)efficiency during the COVID-1949 cited
  • 2009Dynamic Conditional Correlation: On Properties and Estimation47 cited
  • 2021Volatility Modeling: An Overview of Equity Markets in the Euro Area during COVID-19 Pandemic39 cited
  • 2017Non-affine GARCH Option Pricing Models, Variance-Dependent Kernels, and Diffusion Limits*34 cited
  • 2021A new GJR‐GARCH model for ℤ‐valued time series33 cited
  • 2017GARCH Modeling of Cryptocurrencies31 cited
  • 2024Comparing Statistical and Machine Learning Methods for Time Series Forecasting in Data-Driven Logistics—A Simulation Study27 cited
  • 2023From Constant to Rough: A Survey of Continuous Volatility Modeling24 cited
  • 2021Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach20 cited
  • 2022Comparison of Value at Risk (VaR) Multivariate Forecast Models19 cited
  • 2020Risk Estimation with a Time-Varying Probability of Zero Returns18 cited

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  • 2013Multivariate variance targeting in the BEKK-GARCH model17 cited
  • 2018Inference in (M)GARCH Models in the Presence of Additive Outliers: Specification, Estimation, and Prediction17 cited