The research examines the impact of traditional verification methods on customer satisfaction and operational efficiency in commercial banks. It suggests adopting digital solutions such as biometric authentication and machine learning algorithms to streamline verification, prevent fraud, enhance security, and improve customer engagement. The study aims to provide recommendations for innovative methods aligning with digital transformation and customer expectations.
New estimators for generalized tail distortion (GTD) risk measures are proposed, based on first-order asymptotic expansions, offering simplicity and comparable or better performance than existing meth
Cyber risk presents significant challenges to society, yet its statistical behavior remains insufficiently understood. This paper analyzes three databases to study cyber risk dynamics. It identifies i
Effective transition to a sustainable economy requires robust emission reduction plans from companies, crucial for capital allocation and risk management. Transition disclosures serve as a market comp