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Time-varying parameter quantile-on-quantile regression/Evidence
Method evidence record

Time-varying parameter quantile-on-quantile regression

TVP-QQ regression extends the quantile-on-quantile (QQ) framework by allowing the slope coefficients to evolve over time. It maps how the quantiles of a predictor variable affect the quantiles of an outcome differently across the joint distribution and across different time periods, uncovering dynamic, heterogeneous dependence structures that standard regression cannot detect.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Time-Varying Parameter Quantile-on-Quantile Regression
Taxonomic method record · regression-model / econometrics
  • Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking & Finance, 55, 1–8. · DOI 10.1016/j.jbankfin.2015.01.013
  • Bouri, E., Gupta, R., & Vo, X. V. (2021). Jumps in geopolitical risk and the cryptocurrency market: The singularity of Bitcoin. Defence and Peace Economics, 33(2), 150–161. · URL
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Related methods

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Same method familyQuantile Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQuantile-on-Quantile Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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