Multi-period optimisation chooses trades by planning a sequence of future books under forecasts of returns, risks and costs, and executes the first (Boyd and co-authors). With quadratic costs and signals whose predictive power decays at rates , Gârleanu and Pedersen show that the optimal book trades each period a fraction of the way from the current book to the aim portfolio , which weights slow signals more than fast ones, with the positive root of and the discount rate.
rs_allocation.multiperiod.