Nonparametric statistics course project

Nonparametric Estimation of Conditional Expected Shortfall

This is a project performed in SKKU Nonparametric statistics course (STA5015). It aims at:

  • intensive review on existing statistical methods for an advanced topic not covered in the course
  • own simulation or real data simulation
  • development of new statistical methodology related to the course
  • new analysis of a real data set

Reviewd Paper

Cai, Z., & Wang, X. (2008). Nonparametric estimation of conditional VaR and expected shortfall. Journal of Econometrics, 147(1), 120-130.

ceshat

This is an R package to help this project, which tries to reproduce the above paper. Click the Code button!

Young Geun Kim
Young Geun Kim
Ph.D. Candidate in Department of Statistics

Researching long-range dependent time series, Bayesian econometrics, and time series deep learning models.