Multiperiod portfolio selection and Bayesian dynamic models

Kolm and Ritter present a multiperiod, multi-asset selection model with transacion costs, kept computationally tractrable



Planning a sequence of trades extending into the future is a very common problem in finance. All trading is costly, and the need for intertemporal optimisation is more acute when trading costs are considered. The total cost due to market impact is known to be superlinear as a function of the trade size (Almgren et al (2005) measured an exponent of about 0:6 for impact itself, hence 1:6 for total cost), implying a large order may be more efficiently executed

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