Robo-advisors can follow an active or passive investment approach not only in terms of their product range, but also in the composition of the individual products. In active management, for example, the market is constantly monitored and, on the basis of this, the securities that appear to be most advantageous at a given time are included in the portfolio. This targeted approach is described as so-called “stock picking” (see [Müller/Pester 2019, 229f]). Due to market fluctuations, there are thus regular purchases and sales of securities with the aim of achieving a higher return than the passive market. In the course of this, the percentage distribution of the asset classes in the portfolio can also be continuously adjusted and regular risk assessments carried out. As a result, the portfolio may be subject to constant change. The passive management approach is based on the strategy of maintaining the portfolio created at the beginning, including the asset allocation and the defined securities, unchanged and independent of market fluctuations. If a change in asset allocation should occur due to market fluctuations, the original state can be restored through various adjustment methods, also called “rebalancing”. In contrast to active management, this adjustment is not carried out on an ongoing basis, but at predetermined times or according to specific rules. In so-called “periodic rebalancing”, a restoration of the asset allocation is carried out as needed at the time of a previously defined temporal interval change. Another variant of rebalancing provides for an adjustment only if the portfolio value exceeds or falls below a previously defined mark, the threshold