方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Time-Varying Parameter Quantile-on-Quantile Regression
分类方法记录 · 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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