Regression modelEconometrics / time series

Time-Varying Parameter Quantile-on-Quantile (TVP-QQ) 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.

Apply with EconMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. 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.2015.02.001
  2. 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. link

Related methods

ScholarGateTime-varying parameter quantile-on-quantile regression (Time-Varying Parameter Quantile-on-Quantile Regression). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/time-varying-parameter-quantile-on-quantile-regression