This paper investigates various machine learning trading and portfolio optimisation models and techniques. The notebooks to this paper are Python based. By last count there are about 15 distinct trading varieties and around 100 trading strategies. Code and data are made available where...

We investigate the dynamic consumption and portfolio selection problem of an agent who has an intertemporal preference with loss and risk aversion, as proposed by Choi et al. (2019a). We disentangle the effects of loss aversion from those of risk aversion on risk taking. We show by simulation...

Discrete time dynamic programming to solve dynamic portfolio choice models has three immanent issues: Firstly, the curse of dimensionality prohibits more than a handful of continuous states. Secondly, in higher dimensions, even regular sparse grid discretizations need too many grid points for...

We introduce the concept of forward rank-dependent performance criteria, extending the original notion to forward criteria that incorporate probability distortions. A fundamental challenge is how to reconcile the time-consistent nature of forward performance criteria with the time-inconsistency...

We study dynamic optimal portfolio allocation for monotone mean-variance preferences in a general semimartingale model. Armed with new results in this area we revisit the work of Cui, Li, Wang and Zhu (2012, MAFI) and fully characterize the circumstances under which one can set aside a...

We develop a novel approach to the bond portfolio optimization in insurance companies that are subject to the new Solvency II regulation. The regulatory efficient portfolios are determined using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The characteristics of the estimated...

Any robo-advisor needs to decide on a framework to model the preferences of its investors over uncertain outcomes. As of today, most robo-advisors model their investors as mean-variance optimizers. While the mean-variance framework is intuitive and optimal investment strategies have been derived...

In this article we solve the problem of maximizing the expected utility of future consumption and terminal wealth to determine the optimal pension or life-cycle fund strategy for a cohort of pension fund investors. The setup is strongly related to a DC pension plan where additionally...

We examine the impact of return predictability and parameter uncertainty on investors' long-term portfolio allocations in the context of disappointment aversion. We find persisting horizon effects, with stocks appearing progressively more attractive at longer horizons as opposed to shorter ones....