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Andreev, A. and Kanto, A. (2005) Conditional Value-at-Risk Estimation Using Non-Integer Values of Degrees of Freedom in Student’s T-Distribution. Journal of risk, 7, 55-62.
https://doi.org/10.21314/JOR.2005.108

has been cited by the following article:

• TITLE: Strong Consistency of CVaR Optimal Estimator

  AUTHORS: Xiaolin Li

  KEYWORDS: Risk Measures, Conditional Value-at-Risk, Strong Consistency

  JOURNAL NAME: Open Journal of Statistics, Vol.8 No.3, May 28, 2018

  ABSTRACT: Conditional Value-at-Risk (CVaR) is one of the commonly used risk measures. The paper shows that the optimal estimator of CVaR is strong consistency if the first-order moment of the population exists. We subsequently carry out numerical simulations to test the conclusion. We use the results to make an empirical analysis of Shenzhen A shares.