Conditional Value-at-Risk (CVaR) is one of the commonly used risk measures. The paper shows t hat 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.
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