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Of copulas, quantiles, ranks and spectra: An $L_{1}$-approach to spectral analysis
12 references·5 citing·48 second hop
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this work references cited by second hop

References

  • 1999An Introduction to Copulas7,743 cited
  • 2007Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask1,622 cited
  • 1989Testing for Nonlinear Dependence in Daily Foreign Exchange Rates665 cited
  • 2002MIXING AND MOMENT PROPERTIES OF VARIOUS GARCH AND STOCHASTIC VOLATILITY MODELS566 cited
  • 1993Nonlinear Dynamics, Chaos and Instability Statistical Theory and Economic Evidence.487 cited
  • 1985Evidence of Nonlinearity in Daily Stock Returns289 cited
  • 1999Hypothesis Testing in Time Series via the Empirical Characteristic Function: A Generalized Spectral Density Approach240 cited
  • 2007The quantilogram: With an application to evaluating directional predictability215 cited
  • 1997Uncovering Nonlinear Structure In Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100187 cited
  • 2010Modeling Longitudinal Data Using a Pair-Copula Decomposition of Serial Dependence172 cited
  • 2006MIXING PROPERTIES OF A GENERAL CLASS OF GARCH(1,1) MODELS WITHOUT MOMENT ASSUMPTIONS ON THE OBSERVED PROCESS127 cited
  • 2000Generalized Spectral Tests for Serial Dependence100 cited

Cited by

  • 2018An Updated Literature Review of Distance Correlation and Its Applications to Time Series57 cited
  • 2016Quantile spectral processes: Asymptotic analysis and inference

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46 cited
  • 2017Quantile Spectral Analysis for Locally Stationary Time Series42 cited
  • 2019Quantile coherency: A general measure for dependence between cyclical economic variables28 cited
  • 2015Quantile Coherency: A General Measure for Dependence between Cyclical Economic Variables23 cited