We analyze the performance of investable portfolios built using predicted stock returns from machine learning methods and attribute their performance to linear, marginal non-linear and interaction effects. We use a large set of features including price-based, fundamental-based, and...

This paper suggests innovative investment strategies drawing on return seasonalities. By means of an out-of-sample study of the German stock market, we report that these long–short investment strategies earn on average raw returns up to 233 basis points per month throughout two decades from...

Investment performance evaluation is one of the pillars of finance and its techniques have refined throughout the years. This work focuses on the evaluation of the investment performance achieved through a top-down investment strategy analyzed using the Brinson model: a set of techniques that...

This paper examines issues related to potential analytical performance systems for global property funds. These will include traditional attribution methods but will also cover the performance concepts of alpha and beta widely used in other asset classes. We look at issues including...what...

This paper evaluates the tactical asset allocation (TAA) capabilities, strategies and behaviour of Australian investment managers who invest assets across multiple asset classes. Specifically, we analyse the behaviour of balanced, growth and capital-stable fund managers with regard to their...