We propose parametric tests for serial correlation in levels and squares that exploit the non-normality of financial returns. Our are robust to distributional misspecification. Furthermore, our mean predictability can be robustified against time-varying volatility. Local power analyses confirm their gains over existing methods, while Monte Carlo exercises assess finite sample reliability. apply...