This study examines how algorithmic trading (AT) affects forward-looking disclosures in Management Discussion and Analysis (MD&A) of annual reports. We predict and find evidence that AT relates negatively to modifications in year-over-year forward-looking MD&A disclosures. This evidence is...

In respect to racial discrimination in lending, we introduce global Shapley value and Shapley-Lorenz explainable AI methods to attain algorithmic justice. Using 157,269 loan applications during 2017 in New York, we confirm that these methods, consistent with the parameters of a logistic...

Scheduling problems occur in a broad range of real-world application fields and have attracted a huge set of research articles. However, there is only little research on exact algorithms for scheduling problems, many of which are NP-hard in the strong sense. We investigate the problem on a...

Heuristics for Vector Bin Packing (VBP) play an important role in modern distributed computing systems and other applications aimed at optimizing the usage of multidimensional resources. In this paper we perform a systematic classification of heuristics for VBP. We bring together existing VBP...

This paper proposes several algorithms for calculating fixed-length round trips on directed street networks. Unlike previous approaches, these algorithms do not need to download, process, or store large map databases; instead, the relevant information is collected using a small number of calls...

This study firstly analyzes the impact of energy intensities and income on CO2 emissions in Russia, applying different estimation methods to the data period from 1990 to 2020. In addition, the study forecasts CO2 emissions considering 2030 targets under different assumptions and assesses the...

Felix Rützel’s assessment of algorithmic price discrimination focuses on the connections between various areas of law. By outlining the existing legal frameworks for each and pinpointing where changes need to be made in order to react to this pricing strategy, the author’s analysis offers...

The use of quantitative techniques for the classification of population segments is a critical phase to evaluate their conditions. This information will serve as input for planning strategies to alleviate poverty. In this article, we present a model of vector support machines. Consequently, a...

In this paper, we present the problem of assigning consistent time windows for the collection of multiple fresh products from local farmers and delivering them to distribution centers for consolidation and further distribution in a short agri-food supply chain with stochastic demand. We...