Als ein Teilbereich der Künstlichen Intelligenz stellt Machine Learning (ML) eine Schüsseltechnologie des 21. Jahrhunderts dar. Unter Nutzung der mathematisch-statistischen Verfahren sind technische Systeme realisierbar, die anhand von Daten eigenständig empirische Zusammenhänge erkennen und...

Artificial intelligence and machine learning have increasing influence on the financial sector, but also on economy as a whole. The impact of artificial intelligence and machine learning on banking risk management has become particularly interesting after the global financial crisis. The...

We propose a mathematical model of momentum risk-taking, which is essentially real-time risk management focused on short-term volatility. Its implementation, a fully automated momentum equity trading system, is systematically discussed in this paper. It proved to be successful in extensive...

Recent developments in artificial intelligence (AI) may involve significant potential threats to personal data privacy, national security, and social and economic stability. AI-based solutions are often promoted as "intelligent" or "smart" because they are autonomous in optimizing various...

In today's era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency portfolio optimization. Researchers have investigated various state of the art machine learning models to predict Bitcoin price and volatility. Machine learning models like recurrent...

We provide a high-level view on topics addressed in scientific articles about regulatory technology (RegTech), with a particular focus on technologies used. For this purpose, we first explore different denominations for RegTech and derive search queries to search relevant literature portals....

We estimate and compare the impact of the coronavirus pandemic (COVID-19) on the performance of Artificial Intelligence (AI) and conventional listed firms using stock market indices. The single-group and multiple-group Interrupted Time-Series Analyses (ITSA) with panel data were used with four...

The paper shows the ways of disclosing financial risks by IFRS 7 and certain types of sensitivity analysis. The different possibilities of preparing a sensitivity analysis, such as value at risk are illustrated and their suitability for reporting are faced critically. Following, the manner of...

In light of the recent financial crises in the emerging markets, the coming-into-force of the financial services agreement under the GATS has been considered a success. While the agreement provides for little new liberalization but rather formalizes the status quo, it was feared that governments...