arXiv · arXiv q-fin · 2024
This study investigates the relationship between bank efficiency and stock market valuation using an unbalanced panel dataset of 42 listed banks in China from 2006 to 2023. We employ a non-radial and non-oriented slack based super-efficiency Data Envelopment Analysis (Super-SBM-UND-VRS based DEA) model, which treats Non-Performing Loans (NPLs) as an undesired output. Our results show that the relationship between sup…
Yun Liao
arXiv · arXiv q-fin · 2023
This study employs the annual unbalanced panel data of 42 listed banks in China from 2006 to 2021, adopts the non-radial and non-oriented super-efficiency Data envelopment analysis (Super-SBM-UND-VRS based DEA) model considering NPL as undesired output. Our results show that the profitability super-efficiency of State-owned banks and Rural/City Commercial Banks is better than that of Joint-stock Banks. In terms of in…
Yun Liao, Ruihui Xu
arXiv · arXiv q-fin · 2022
The goal of our 4-phase research project was to test if a machine-learning-based loan screening application (5D) could detect bad loans subject to the following constraints: a) utilize a minimal-optimal number of features unrelated to the credit history, gender, race or ethnicity of the borrower (BiMOPT features); b) comply with the European Banking Authority and EU Commission principles on trustworthy Artificial Int…
Alessandro Danovi, Marzio Roma, Davide Meloni, Stefano Olgiati, Fernando Metelli
arXiv · arXiv q-fin · 2014
After the release of the final accounting standards for impairment in July 2014 by the IASB, banks will face the next significant methodological challenge after Basel 2. In this paper, first methodological thoughts are presented, and ways how to approach underlying questions are proposed. It starts with a detailed discussion of the structural conservatism in the final standard. The exposure value iACV(c) (idealized A…
Wolfgang Reitgruber