When trading the oil market an artificial intelligent system utilizing cortical and subcortical computing can perform better than a buy and hold strategy between Jan 3, 2005 through April 21, 2015. A cortical and subcortical algorithmic system can recognize patterns in a dataset, and therefore...

Traditional portfolio optimization models specify placement of capital as rather irrevocably and fully at risk through investment horizon(s) or continuously. Under this constraint, asset class allocation typically serves as primary mode of diversification, pursuing risk moderation by seeking to...

We characterize a range of Stochastic Dominance relations by means of finite systems of convex inequalities. For 'SD optimality' of degree N=1, 2, 3, 4 and 'SD efficiency' of degree N=2, 3, 4, 5, we obtain exact systems that can be implemented using Linear Programming or Convex Quadratic...

The paper is focused on an ex-post investment performance analysis. Firstly, we create a suite of return, risk, return to risk and benchmark related measures with immediate real life applications in mind. We define and describe these measures and provide real data examples where appropriate....

Normal distribution of the residuals is the traditional assumption in the classical multivariate time series models. Nevertheless it is not very often consistent with the real data. Copulae allows for an extension of the classical time series models to nonelliptically distributed residuals. In...

In the past 20 years, momentum or trend following strategies have become an established part of the investor toolbox. We introduce a new way of analyzing momentum strategies by looking at the information ratio (IR, average return divided by standard deviation). We calculate the theoretical IR of...

This article develops a model that takes into account skewness risk in risk parity portfolios. In this framework, asset returns are viewed as stochastic processes with jumps or random variables generated by a Gaussian mixture distribution. This dual representation allows us to show that skewness...

Here we present a novel approach to how the Chief Investment Office (CIO) can select investment strategies to allocate to and to decide the percentage allocation to them. The method that we outline here is a continuation of our previous research on recommender systems science[13]. The aim of...

Paired-switching refers to investing in one of a pair of negatively correlated equities/ETFs/Funds and periodic switching of the position on the basis of either the relative performance of the two equities/ETFs/Funds over a period immediately prior to the switching or some other criterion. It is...