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...

We consider a mean-variance portfolio selection problem in financial market with contagion risk. The risky assets follow jump-diffusion model, which jumps are driven by multivariate Hawkes process mutual-excitation effect. feature of the captures risk sense that each price jump an asset increases likelihood future not only same but also other assets. apply stochastic maximum principle, backward...