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...

Prior academic research focuses on commodities in isolation as leading economic indicators, ignoring the message price behavior may have on other asset classes. We find that the relative movement of Lumber to Gold provides important information on economic growth and inflation expectations,...

In this paper, we propose a new way to predict market returns for multi-assets (equity, fixed-income and commodity) by extracting features from macroeconomic data and performing machine learning algorithms for both regression and classification. Our approach aims to select robust models to build...

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...

Fixed income investors favor higher yields with lower risk. Our objective in this paper is to outline an active fixed income strategy that maximizes yield and is protected against major risk factors affecting fixed income securities. In particular, we look at interest rate risk, credit risk,...

For US investors, international equity exposure has never been so readily available at such a low cost. Nonetheless, surveys indicate US investors typically allocate 80–85% of their equity holdings to US equities, much higher than their proportion of global market value. In this note we...

Performance evaluation of mutual funds using factor pricing models is usually distorted by the existence of a volatility anomaly and correlated residuals. By augmenting the Fama-French five-factor model with an active peer benchmark, we eliminate the measurement errors caused by these...

We propose a new backtesting framework for Expected Shortfall that could be used by the regulator. Instead of looking at the estimated capital reserve and the realised cash-flow separately, one could bind them into the secured position, for which risk measurement is much easier. Using this...