Before revision:  An application to Value at Risk forecasting shows that QCNN outperforms linear quantile regression and constant quantile estimates .
After revision:  When this is met, the proposed QCNN framework can be competitive. It is demonstrated on a financial problem of huge practical importance: Value at Risk forecasting shows that QCNN outperforms linear quantile regression and constant quantile estimates .