Articles by Tim Schmitz
Extremes of extremes: risk assessment for very small samples with an exemplary application for cryptocurrency returns
The authors propose a means to carry out worst-case risk assessments from small sample sizes and demonstrate it using cryptocurrency returns as an example.
On capital allocation under information constraints
This paper offers a portfolio optimization framework that uses return data to calculate an optimal capital allocation based on a Cobb–Douglas utility function.