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Financial Volatility Forecasting by Least Square Support Vector Machine Based on GARCH, EGARCH and GJR Models: Evidence from ASEAN Stock Markets
16 references·2 citing·23 second hop
Financial Volatility Forecasting by Least Square Support Vector Machine Based on GARCH, EGARCH and GJR Models: Evidence from ASEAN Stock Markets (2010)Financial Volatility Forecasting by Least…A Long Memory Property of Stock Market Returns and a New Model (2010)A Long Memory Property of Sto…Improving forecasts of GARCH family models with the artificial neural networks: An application to the daily returns in Istanbul Stock Exchange (2008)Improving forecasts of GARCH …On a threshold heteroscedastic model (2005)On a threshold heteroscedasti…Financial time series prediction using least squares support vector machines within the evidence framework (2001)Financial time series predict…An artificial neural network-GARCH model for international stock return volatility (1997)An artificial neural network-…Some Properties of Absolute Return: An Alternative Measure of Risk (1995)Some Properties of Absolute R…Quadratic ARCH Models (1995)Quadratic ARCH ModelsOn the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)On the Relation between the E…Measuring and Testing the Impact of News on Volatility (1993)Measuring and Testing the Imp…Measuring and Testing the Impact of News on Volatility (1993)Measuring and Testing the Imp…Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Conditional Heteroskedasticit…Stock Volatility and the Crash of '87: Discussion (1990)Stock Volatility and the Cras…The statistical properties of daily foreign exchange rates: 1974–1983 (1988)The statistical properties of…A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return (1987)A Conditionally Heteroskedast…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Option Pricing Using Artificial Neural Networks : an Australian Perspective (2013)Option Pricing Using Artifici…Financial Volatility Forecasting by Nonlinear Support Vector Machine Heterogeneous Autoregressive Model: Evidence from Nikkei 225 Stock Index (2011)Financial Volatility Forecast…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Empirical properties of asset returns: stylized facts and statistical issues (2001)Modeling and Forecasting Realized Volatility (2003)A Simple Approximate Long-Memory Model of Realized Volatility (2008)Book Review: Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Multivariate Simultaneous Generalized ARCH (1995)Why Does Stock Market Volatility Change Over Time? (1989)Why Does Stock Market Volatility Change Over Time? (1989)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A multiple-kernel support vector regression approach for stock market price forecasting (2010)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015)Econometric Analysis of Cross Section and Panel Data (2001)Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized Arch Model (1990)ARCH modeling in finance (1992)By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior (1999)Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics (2001)Multivariate GARCH models: a survey (2006)Portfolio diversification with virtual currency: Evidence from bitcoin (2018)The Cross‐Section of Volatility and Expected Returns (2006)A long memory property of stock market returns and a new model (1993)Introductory Econometrics for Finance (2008)
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References

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  • 2008

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Improving forecasts of GARCH family models with the artificial neural networks: An application to the daily returns in Istanbul Stock Exchange
168 cited
  • 1995Some Properties of Absolute Return: An Alternative Measure of Risk158 cited
  • Cited by

    • 2011Financial Volatility Forecasting by Nonlinear Support Vector Machine Heterogeneous Autoregressive Model: Evidence from Nikkei 225 Stock Index26 cited
    • 2013Option Pricing Using Artificial Neural Networks : an Australian Perspective16 cited