One of the main challenges facing researchers and industry professionals for decades is the successful prediction of asset returns. This paper enriches this endeavor by an in-depth analysis of topological metrics of correlation networks applied to financial forecasting. While academic research...

Today's asset management academia and practice is dominated by mean-variance thinking. In consequence, this leads to the quantification of the dependence structure of asset returns by the covariance or the Pearson's correlation coefficient matrix. However, the respective dependence measures are...

Persistent homology is the workhorse of modern topological data analysis, which in recent years becomes increasingly powerful due to methodological and computing power advances. In this paper, after equipping the reader with the relevant background on persistent homology, we show how this tool...