Modelling and predicting the uncertainty related to the realization of future asset prices plays an integral part in the financial world. In order to capture the size of the tail risk, we may apply several market risk measures, such as value-at-risk (VaR) or expected shortfall (ES), among others. Our aim is to extend the literature by answering, whether, the liquidity measures improve the tail risk predictions.

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