Results 81 to 90 of about 14,304 (296)
Geographically Weighted Logistic Regression Applied to Credit Scoring Models
This study used real data from a Brazilian financial institution on transactions involving Consumer Direct Credit (CDC), granted to clients residing in the Distrito Federal (DF), to construct credit scoring models via Logistic Regression and ...
Pedro Henrique Melo Albuquerque +2 more
doaj +1 more source
Analytical solutions for expected and unexpected losses with an additional loan [PDF]
We evaluate expected and unexpected losses of a bank loan, taking into account the bankfs strategic control of the expected return on the loan. Assuming that the bank supplies an additional loan to minimize the expected loss of the total loan, we provide
Satoshi Yamashita, Toshinao Yoshiba
core
Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?
ABSTRACT This study examines the relationship between GVC participation and agricultural value‐added growth in 43 countries over the period 1995–2022. In contrast to prior literature, we disaggregate the agricultural sector into four sub‐sectors namely crop cultivation, animal production, forestry and fishing.
Taner Turan +2 more
wiley +1 more source
Study of Factors Affecting the Agricultural Credit Repayment A Case Study of Fars Province [PDF]
The aim of this study was to investigate factors affecting repayment of agricultural loan in FarsProvince, using the data collected from the Agricultural Bank and 163 questionnaires filled out in the Province of Fars.
Mehrdad Bagheri, Bahaedin Najafi
doaj
Effect of internal controls on credit risk among listed Spanish banks
Purpose: The paper examines the effectiveness of internal control systems, explores the exposure of Spanish banks to the dangers of default as a result of internal control systems and establishes a relationship between internal controls and credit risk ...
Ellis Kofi Akwaa-Sekyi +1 more
doaj +1 more source
Forecasting expected and unexpected losses
Extending a standard credit-risk model illustrates that a single factor can drive both expected losses and the extent to which they may be exceeded in extreme scenarios, ie "unexpected losses." This leads us to develop a framework for forecasting these ...
Juselius, Mikael, Tarashev, Nikola A.
core
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Expected credit losses for retail banking sector at hipotekarna bank AD [PDF]
The IFRS9 accounting regulation requires banks to recognise credit risks and set aside losses provisions at initial loan recognition. The standard instructs the categorisation of financial instruments according to the business model, accounting ...
Perica, Ana
core
Bu çalışmada, TFRS 9 kapsamında yeni değer düşüklüğü modelinin bankaların finansal tablolarına olan etkisi ilk uygulama dönemi olan 2018 yılı için araştırılmaktadır.
Menglishi, P. +2 more
core +1 more source
Abstract While multiple factors explain low adoption rates of improved varieties by small‐scale farmers in sub‐Saharan Africa, a key supply‐side constraint is the limited availability of seed embodying new traits in the volume, quality, price, and timeliness required by farmers. This constraint is partly attributable to classical failures in the market
Dawit Mekonnen +5 more
wiley +1 more source

