EU AML in transition: how AMLA and the new AML regulations obligate banks to take action
The increasing harmonization of money laundering regulations does not stop at the competent authorities: with the launch of the Anti-Money Laundering Authority (AMLA) at the beginning of 2026 and the entry into force of the new EU AML package, European legislators are marking a turning point in the fight against money laundering and terrorist financing.
Energy performance certificates in real estate financing – generating sales potential from regulatory obligations!
Energy efficiency and sustainability have become key issues in almost all branches of economic activity in recent years. Both topics are also gaining in importance in the area of real estate financing, particularly with regard to legal requirements and the handling of energy performance certificates.
This raises complex questions for banks and, above all, their managers: How can the requirements be met efficiently, what challenges need to be overcome and what (sales) opportunities does a proactive approach to energy performance certificates offer?
Banks crown successful year with Q4 rally
zeb.market.flash #54, Q4 2025: The global capital markets ended Q4 2025 with moderate gains (MSCI World market cap. +3.2% QoQ). Despite pronounced uncertainty factors – including the longest government shutdown in US history and poor consumer sentiment in Europe and the US – the markets proved resilient.
A look back at the banking industry’s year 2025
Which developments, opportunities and prospects shaped the banking industry? Which regulatory frameworks and innovations need to be taken into account? What are the HR and digital trends in the financial sector? What were the top articles of 2025?
Only AI can stop AI: the new front line in payment fraud prevention
How payment fraud dynamics are shifting and why AI is becoming critical for financial institutions
Use of AI in interest rate derivatives pricing – what are the benefits of hybrid approaches?
Artificial intelligence (AI), in particular machine learning (ML), opens up new possibilities for improving the accuracy and efficiency of the underlying calculations. However, it is important to consider not only the opportunities but also the risks of these technologies – including model transparency and associated costs.
