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Stochastic volatility : selected readings
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G. Andersen, R. A. Davis, J.-P. Kreiss and T. Mikosch, eds. Handbook of Financial Time Series. New York: Springer. 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  • 2006Chapter 15 Volatility and Correlation Forecasting330 cited
  • 2013Copula Methods for Forecasting Multivariate Time Series323 cited
  • 2006No-arbitrage semi-martingale restrictions for continuous-time volatility models subject to leverage effects, jumps and i.i.d. noise: Theory and testable distributional implications301 cited
  • 2016Time-Varying Systemic Risk: Evidence From a Dynamic Copula Model of CDS Spreads272 cited
  • n.d.Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise184 cited
  • 2006Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison181 cited
  • 2009NONPARAMETRIC FILTERING OF THE REALIZED SPOT VOLATILITY: A KERNEL-BASED APPROACH175 cited
  • 2015Information-theoretic optimality of observation-driven time series models for continuous responses166 cited
  • 2007On the Economic Sources of Stock Market Volatility162 cited
  • 2009Multivariate Stochastic Volatility150 cited
  • 2008Realised Kernels in Practice: Trades and Quotes143 cited
  • 2005A Selective Overview of Nonparametric Methods in Financial Econometrics135 cited
  • 2010Portfolio Risk Analysis127 cited
  • 2007Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations

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125 cited
  • 2005Volatility Forecasting118 cited
  • 2020Price volatility in the carbon market in China118 cited