In this work, we establish some stochastic comparison results for the class of scale-shape
mixtures of multivariate skew-normal (SSSN) distributions. These multivariate stochastic …

Image classification with neural networks (NNs) is widely used in industrial processes,
situations where the model likely encounters unknown objects during deployment, ie, out-of …

Estimating the market price of a company with multiples is common practice. Especially if
several multiples are used simultaneously, the bandwidth of value estimates might be wide …

Two-degrees alignment has become a major issue for climate-aware portfolio management.
There are sophisticated initiatives aiming to predict corporate emission intensities from 2030 …

Ratios represent a special kind of relation between two magnitudes, and computing the
average of ratios is fairly common among academics and Finance practitioners. How should …

This study focuses on answering whether EV/EBITDA multiple of public companies in the
food industry can be useful to obtain the Terminal Value (TV) in the valuation of unlisted …

In operations research (OR), predictive models often encounter out-of-distribution (OOD)
scenarios where the data distribution differs from the training data distribution. In recent …

The common way to deal with outliers in empirical Economics and Finance is to delete them,
either by trimming or winsorizing, or by computing statistics robust to outliers. However, due …

Capital flow surges have become a major source of concern as they have been often
followed by disruptive reversals and sudden stops. We introduce F-score methodology …

In dieser Studie untersuchen wir Bewertungsmultiplikatoren für kleine und mittlere
Unternehmen in Deutschland anhand von drei Forschungsfragen. Basierend auf einem …