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A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation
16 references·6 citing·28 second hop
A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation (2013)A semiparametric Bayesian approach to the…Asset Price Dynamics, Volatility, and Prediction (2011)Asset Price Dynamics, Volatil…Bayesian semiparametric stochastic volatility modeling (2010)Bayesian semiparametric stoch…Bayesian estimation of the Gaussian mixture GARCH model (2006)Bayesian estimation of the Ga…Financial Returns Modelled by the Product of Two Stochastic Processes—A Study of Daily Sugar Prices, 1961–79 (2005)Financial Returns Modelled by…Kurtosis of GARCH and stochastic volatility models with non-normal innovations (2003)Kurtosis of GARCH and stochas…Value At Risk: The New Benchmark for Managing Financial Risk (2000)Value At Risk: The New Benchm…Modelling of extremal events in insurance and finance (1994)Modelling of extremal events …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…ARCH modeling in finance (1992)ARCH modeling in financeConditional Heteroskedasticity in Asset Returns: A New Approach (1991)Conditional Heteroskedasticit…Seminonparametric Estimation of Conditionally Constrained Heterogeneous Processes: Asset Pricing Applications (1989)Seminonparametric Estimation …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…Financial returns modelled by the product of two stochastic processes-A study of the daily sugar prices 1961-75 (1982)Financial returns modelled by…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Bayesian forecasting in economics and finance: A modern review (2023)Bayesian forecasting in econo…Influence of modularity on delivery dependability: analysis in a bus manufacturer (2020)Influence of modularity on de…Testing the Gaussian and Student's t copulas in a risk management framework (2017)Testing the Gaussian and Stud…A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection (2014)A Bayesian non-parametric app…A Bayesian semiparametric model for volatility with a leverage effect (2012)A Bayesian semiparametric mod…The Gaussian Mixture Dynamic Conditional Correlation Model: Parameter Estimation, Value at Risk Calculation, and Portfolio Selection (2009)The Gaussian Mixture Dynamic …Extreme Values, Regular Variation and Point Processes (1987)Conditional value-at-risk for general loss distributions (2002)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Top Incomes in the Long Run of History (2011)The Pricing of Options and Corporate Liabilities (1973)Multivariate Simultaneous Generalized ARCH (1995)Dynamic Conditional Correlation (2002)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)Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model (1987)Modeling and pricing long memory in stock market volatility (1996)The econometrics of financial markets (1996)GENERALIZED AUTOREGRESSIVE SCORE MODELS WITH APPLICATIONS (2012)The equity premium: A puzzle (1985)A Capital Asset Pricing Model with Time-Varying Covariances (1988)An Empirical Investigation of Asset Pricing with Temporally Dependent Preference Specifications (1995)International asset allocation under regime switching, skew, and kurtosis preferences (2008)Measuring and Modeling Variation in the Risk-Return Trade-off (2010)Backtesting Value-at-Risk: A Duration-Based Approach (2004)Is gold a safe haven or a hedge for the US dollar? Implications for risk management (2013)Machine Learning in Banking Risk Management: A Literature Review (2019)Econometric Analysis of Cross Section and Panel Data (2001)Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles (2000)The Cross‐Section of Volatility and Expected Returns (2006)
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References

  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 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
  • 1992ARCH modeling in finance4,288 cited
  • 1994Modelling of extremal events in insurance and finance3,519 cited
  • 1987A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return2,569 cited
  • 2000Value At Risk: The New Benchmark for Managing Financial Risk2,478 cited
  • 1994Autoregressive Conditional Density Estimation1,580 cited
  • 1989Seminonparametric Estimation of Conditionally Constrained Heterogeneous Processes: Asset Pricing Applications440 cited
  • 2011Asset Price Dynamics, Volatility, and Prediction358 cited
  • 1982Financial returns modelled by the product of two stochastic processes-A study of the daily sugar prices 1961-75326 cited
  • 2003Kurtosis of GARCH and stochastic volatility models with non-normal innovations161 cited
  • 2005Financial Returns Modelled by the Product of Two Stochastic Processes—A Study of Daily Sugar Prices, 1961–79151 cited

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  • 2010Bayesian semiparametric stochastic volatility modeling124 cited
  • 2006Bayesian estimation of the Gaussian mixture GARCH model77 cited
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    • 2017Testing the Gaussian and Student's t copulas in a risk management framework25 cited
    • 2009The Gaussian Mixture Dynamic Conditional Correlation Model: Parameter Estimation, Value at Risk Calculation, and Portfolio Selection21 cited
    • 2014A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection19 cited
    • 2020Influence of modularity on delivery dependability: analysis in a bus manufacturer10 cited