SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Volatility Forecasting in the Hang Seng Index using the GARCH Approach
16 references·3 citing·28 second hop
Volatility Forecasting in the Hang Seng Index using the GARCH Approach (2009)Volatility Forecasting in the Hang Seng I…Research in International Business and Finance (2009)Research in International Bus…Risk and Volatility: Econometric Models and Financial Practice (2004)Risk and Volatility: Economet…Daily volatility forecasts: reassessing the performance of GARCH models (2004)Daily volatility forecasts: r…Forecasting Volatility in Financial Markets: A Review (2003)Forecasting Volatility in Fin…Forecasting Volatility in Financial Markets: A Review (2003)Forecasting Volatility in Fin…A threshold stochastic volatility model (2002)A threshold stochastic volati…What good is a volatility model? (2001)What good is a volatility mod…Pricing Hang Seng Index options around the Asian financial crisis – A GARCH approach (2001)Pricing Hang Seng Index optio…Forecasting UK stock market volatility (2000)Forecasting UK stock market v…Volatility in Emerging Stock Markets (1999)Volatility in Emerging Stock …Fractionally integrated generalized autoregressive conditional heteroskedasticity (1996)Fractionally integrated gener…On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)On the Relation between the E…A Permanent and Transitory Component Model of Stock Return Volatility (1993)A Permanent and Transitory Co…Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Conditional Heteroskedasticit…Alternative models for conditional stock volatility (1990)Alternative models for condit…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Modeling and Forecasting the Volatility of NIFTY 50 Using GARCH and RNN Models (2022)Modeling and Forecasting the …Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms (2019)Analysis of temporal pattern,…Selected Indian stock predictions using a hybrid ARIMA-GARCH model (2014)Selected Indian stock predict…Multivariate GARCH models: a surveyGeneralized autoregressive conditional heteroskedasticity (1986)The distribution of realized stock return volatility (2001)Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (2007)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)A Theory of Volatility Spreads (2006)Chapter 15 Volatility and Correlation Forecasting (2006)Parametric and Nonparametric Volatility Measurement (2010)The Pricing of Options and Corporate Liabilities (1973)Value-at-Risk Prediction: A Comparison of Alternative Strategies (2005)Volatility forecast comparison using imperfect volatility proxies (2010)Financial time series forecasting model based on CEEMDAN and LSTM (2018)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Stock Prices and Volume (1992)Intraday periodicity and volatility persistence in financial markets (1997)Autoregressive conditional heteroskedasticity and changes in regime (1994)Time‐Varying World Market Integration (1995)Stock Market Openings: Experience of Emerging Economies (2000)Dating the integration of world equity markets (2002)Research in emerging markets finance: looking to the future (2002)Econometric Analysis of Cross Section and Panel Data (2001)ARCH modeling in finance (1992)Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles (2000)The Cross‐Section of Volatility and Expected Returns (2006)New frontiers for arch models (2002)Striking oil: Another puzzle? (2008)Forecasting currency volatility: A comparison of implied volatilities and AR(FI)MA models (2004)The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes (2016)
this work references cited by second hop

References

  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,684 cited
  • 1991Conditional Heteroskedasticity in Asset Returns: A New Approach10,268 cited
  • 1993On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks9,041 cited
  • 1996Fractionally integrated generalized autoregressive conditional heteroskedasticity2,290 cited
  • 2003Forecasting Volatility in Financial Markets: A Review1,373 cited
  • 1990Alternative models for conditional stock volatility1,272 cited
  • 2003Forecasting Volatility in Financial Markets: A Review800 cited
  • 1999Volatility in Emerging Stock Markets735 cited
  • 2001What good is a volatility model?691 cited
  • 2004Risk and Volatility: Econometric Models and Financial Practice554 cited
  • 1993A Permanent and Transitory Component Model of Stock Return Volatility501 cited
  • 2009Research in International Business and Finance287 cited
  • 2002A threshold stochastic volatility model117 cited
  • 2000Forecasting UK stock market volatility110 cited
  • 2001Pricing Hang Seng Index options around the Asian financial crisis – A GARCH approach71 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2004Daily volatility forecasts: reassessing the performance of GARCH models57 cited
  • Cited by

    • 2019Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms56 cited
    • 2022Modeling and Forecasting the Volatility of NIFTY 50 Using GARCH and RNN Models47 cited
    • 2014Selected Indian stock predictions using a hybrid ARIMA-GARCH model46 cited