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Bayesian Value-at-Risk and expected shortfall forecasting via the asymmetric Laplace distribution
16 references·12 citing·29 second hop
Bayesian Value-at-Risk and expected shortfall forecasting via the asymmetric Laplace distribution (2010)Bayesian Value-at-Risk and expected short…CAViaR (2004)CAViaRForecasting Volatility in Financial Markets: A Review (2003)Forecasting Volatility in Fin…Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach (2000)Estimation of tail-related ri…Conditional Skewness in Asset Pricing Tests (2000)Conditional Skewness in Asset…Coherent Measures of Risk (1999)Coherent Measures of RiskEvaluating Interval Forecasts (1998)Evaluating Interval ForecastsAn Overview of Value at Risk (1997)An Overview of Value at RiskTechniques for Verifying the Accuracy of Risk Measurement Models (1995)Techniques for Verifying the …Autoregressive Conditional Density Estimation (1994)Autoregressive Conditional De…On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)On the Relation between the E…Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Conditional Heteroskedasticit…The Variance Gamma (V.G.) Model for Share Market Returns (1990)The Variance Gamma (V.G.) Mod…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…SKEWNESS PREFERENCE AND THE VALUATION OF RISK ASSETS* (1976)SKEWNESS PREFERENCE AND THE V…Russia–Ukrainian war: measuring the intraday risk dynamics of energy futures contracts using VaR and CVaR (2023)Russia–Ukrainian war: measuri…A Hybrid Model Integrating Artificial Neural Network with Multiple GARCH-Type Models and EWMA for Performing the Optimal Volatility Forecasting of Market Risk Factors (2022)A Hybrid Model Integrating Ar…Implicit Copulas: An Overview (2021)Implicit Copulas: An OverviewForecasting the VaR of crude oil market: Do alternative distributions help? (2017)Forecasting the VaR of crude …Bayesian tail‐risk forecasting using realized GARCH (2017)Bayesian tail‐risk forecastin…Forecasting risk via realized GARCH, incorporating the realized range (2016)Forecasting risk via realized…Comparison of Value-at-Risk models using the MCS approach (2016)Comparison of Value-at-Risk m…Bayesian Expected Shortfall Forecasting Incorporating the Intraday Range (2014)Bayesian Expected Shortfall F…The two-sided Weibull distribution and forecasting financial tail risk (2013)The two-sided Weibull distrib…Estimation methods for expected shortfall (2013)Estimation methods for expect…Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model (2013)Bayesian Estimation of a Skew…On generalised asymmetric stochastic volatility models (2011)On generalised asymmetric sto…Comparing Predictive Accuracy (1994)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)CoVaR (2016)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)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Multivariate Simultaneous Generalized ARCH (1995)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Cross-Section of Expected Stock Returns (1992)On Persistence in Mutual Fund Performance (1997)Introductory Econometrics for Finance (2008)… and the Cross-Section of Expected Returns (2015)Why Does Stock Market Volatility Change Over Time? (1989)Measuring and Testing the Impact of News on Volatility (1993)GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics (2001)MODELLING ASYMMETRIC EXCHANGE RATE DEPENDENCE* (2006)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)Conditional value-at-risk for general loss distributions (2002)Modeling and Forecasting Realized Volatility (2003)Theory and Applications of Robust Optimization (2010)The Cross‐Section of Volatility and Expected Returns (2006)Global financial crisis, extreme interdependences, and contagion effects: The role of economic structure? (2010)Systemic Risk Measurement: Multivariate GARCH Estimation of CoVaR (2012)Financial Network Systemic Risk Contributions (2014)
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References

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  • 1991Conditional Heteroskedasticity in Asset Returns: A New Approach10,268 cited
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  • 1987A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return2,569 cited
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  • 2000Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach1,732 cited
  • 1994Autoregressive Conditional Density Estimation1,580 cited
  • 1990The Variance Gamma (V.G.) Model for Share Market Returns1,470 cited
  • 2003Forecasting Volatility in Financial Markets: A Review

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1,373 cited
  • 1997An Overview of Value at Risk1,320 cited
  • Cited by

    • 2013Estimation methods for expected shortfall112 cited
    • 2013The two-sided Weibull distribution and forecasting financial tail risk56 cited
    • 2016Comparison of Value-at-Risk models using the MCS approach52 cited
    • 2016Forecasting risk via realized GARCH, incorporating the realized range49 cited
    • 2011On generalised asymmetric stochastic volatility models41 cited
    • 2017Forecasting the VaR of crude oil market: Do alternative distributions help?41 cited
    • 2013Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model39 cited
    • 2014Bayesian Expected Shortfall Forecasting Incorporating the Intraday Range37 cited
    • 2022A Hybrid Model Integrating Artificial Neural Network with Multiple GARCH-Type Models and EWMA for Performing the Optimal Volatility Forecasting of Market Risk Factors28 cited
    • 2023Russia–Ukrainian war: measuring the intraday risk dynamics of energy futures contracts using VaR and CVaR28 cited
    • 2021Implicit Copulas: An Overview27 cited
    • 2017Bayesian tail‐risk forecasting using realized GARCH27 cited