Agricultural loans are critically linked with agricultural productivity. Agricultural productivity has a significant dependency on climate contingencies. This motivates us to explore the …
A Nazemi, FJ Fabozzi - Journal of Banking & Finance, 2024 - Elsevier
Abstract Machine learning methods have achieved great success in modeling complex patterns in finance such as asset pricing and credit risk that enable them to outperform …
A sound statistical model for recovery rates is required for various applications in quantitative risk management, with the computation of capital requirements for loan …
In this study, we design stepwise ordinary least squares regression models using various amalgamations of firm features, loan characteristics and macroeconomic variables to …
H Schuldt, K Lessmann - Macroeconomic Dynamics, 2023 - cambridge.org
Carbon pricing aims to shift the risk-adjusted returns on investment in favor of green technologies vis-'a-vis fossil investment, relying on efficient capital markets to redirect …
K Li, J Yu - Review of Finance, 2023 - academic.oup.com
We document that leased capital accounts for about 20% of total physical productive assets used by US public firms, and its proportion is more than 40% among small and financially …
European economies have been plagued by successive crises, from the Global Financial Crisis (GFC) to the COVID-19 pandemic, through to the economic and geopolitical instability …
We design ordinary least squares (OLS) regression models to estimate the credit conversion factor (CCF) in order to precisely predict the EAD at the account level for defaulted private …
R Sikira - International Journal of Scientific Research and …, 2021 - academia.edu
The study aimed to determine the procedures employed by MFIs, specifically in loan recovery in Tanzania. Loan recovery has been a difficult task for many financial institutions …