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Dependence structure in the Australian electricity markets: New evidence from regular vine copulae
16 references·2 citing·29 second hop
Dependence structure in the Australian electricity markets: New evidence from regular vine copulae (2020)Dependence structure in the Australian el…Is there dependence and systemic risk between oil and renewable energy stock prices? (2014)Is there dependence and syste…Selecting and estimating regular vine copulae and application to financial returns (2012)Selecting and estimating regu…New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing (2012)New Weighted Portmanteau Stat…GENERALIZED AUTOREGRESSIVE SCORE MODELS WITH APPLICATIONS (2012)GENERALIZED AUTOREGRESSIVE SC…A review of copula models for economic time series (2012)A review of copula models for…Dependence Modeling: Vine Copula Handbook (2010)Dependence Modeling: Vine Cop…Pair-copula constructions of multiple dependence (2007)Pair-copula constructions of …Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask (2007)Everything You Always Wanted …Uncertainty Analysis with High Dimensional Dependence Modelling (2006)Uncertainty Analysis with Hig…Estimation of copula-based semiparametric time series models (2005)Estimation of copula-based se…Regime jumps in electricity prices (2003)Regime jumps in electricity p…Electricity Prices and Power Derivatives: Evidence from the Nordic Power Exchange (2002)Electricity Prices and Power …An Introduction to Copulas (1999)An Introduction to CopulasFamilies of $m$-variate distributions with given margins and $m(m-1)/2$ bivariate dependence parameters (1996)Families of $m$-variate distr…Autoregressive Conditional Density Estimation (1994)Autoregressive Conditional De…Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances (1992)Quasi-maximum likelihood esti…Does economic policy uncertainty drive volatility spillovers in electricity markets: Time and frequency evidence (2022)Does economic policy uncertai…An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting (2021)An R-vine copula analysis of …Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)The valuation of options for alternative stochastic processes (1976)Martingales and arbitrage in multiperiod securities markets (1979)Pricing Interest-Rate-Derivative Securities (1990)Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality (2005)Understanding the Fine Structure of Electricity Prices* (2006)Renewable energy investments under different support schemes: A real options approach (2012)Extreme Correlation of International Equity Markets (2001)Quantitative Risk Management: Concepts, Techniques, and Tools (2005)Truncated regular vines in high dimensions with application to financial data (2012)The impact of energy prices on clean energy stock prices. A multivariate quantile dependence approach (2018)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)ARCH modeling in finance (1992)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)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)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Copula Methods in Finance (2004)Goodness-of-fit tests for copulas: A review and a power study (2007)Modeling International Financial Returns with a Multivariate Regime-switching Copula (2009)Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine (2013)A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations (2011)Copula Methods for Forecasting Multivariate Time Series (2013)MODELLING ASYMMETRIC EXCHANGE RATE DEPENDENCE* (2006)Introductory Econometrics for Finance (2008)Generating random correlation matrices based on vines and extended onion method (2009)
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References

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  • 2014Is there dependence and systemic risk between oil and renewable energy stock prices?469 cited
  • 2012New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing453 cited
  • 2005Estimation of copula-based semiparametric time series models435 cited
  • 2003Regime jumps in electricity prices

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363 cited
  • 2010Dependence Modeling: Vine Copula Handbook325 cited
  • Cited by

    • 2022Does economic policy uncertainty drive volatility spillovers in electricity markets: Time and frequency evidence69 cited
    • 2021An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting24 cited