Results 31 to 40 of about 149,590 (309)

Estimating Default Probability of Bank Customers Using Neural Networks Method (Case Study: Pasargad Bank) [PDF]

مطالعات مالی و بانکداری اسلامی, 2018
The purpose of this study is identifying factors affecting the probability of loan default and forecasting default probability of non-corporate (natural) customers of Pasargad bank by means of neural networks method (NNM).
Mohammad Hossein Pourkazemi, Eldar Sedaghat Parast, Reza Dehpanah   +2 more
doaj  

Determination of Default Probability by Loss Given Default

Procedia Economics and Finance, 2015
Abstract Determination of credit losses can be provided by banks through the use of an analysis of the actual loan defaults. The quantification of expected losses should be based on an analysis of multiple variables, cause the determination process might be problematic, but it is significant for institutions such as banks but also for others.
Misankova, Maria, Spuchľakova, Erika, Michalikova, Katarina Frajtova –   +2 more
openaire   +1 more source

Stress testing of probability of default of individuals [PDF]

Prague Economic Papers, 2008
This paper introduces a model for stress testing of probability of default of individuals. The model rests on assumption that the individual defaults if his savings fall below zero. The probability of default is then described as a function of several macroeconomic indicators, such as wages, unemployment and interest rates.
Petr Kadeřábek, Aleš Slabý, Josef Vodička   +2 more
openaire   +3 more sources

Conceptual and Statistical Issues Regarding the Probability of Default and Modeling Default Risk [PDF]

Database Systems Journal, 2011
In today’s rapidly evolving financial markets, risk management offers different techniques in order to implement an efficient system against market risk.
Emilia TITAN, Adela Ioana TUDOR
doaj  

Estimating Probabilities of Default with Support Vector Machines [PDF]

SSRN Electronic Journal, 2007
This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of testing our approach on German Bundesbank data.
Härdle, Wolfgang Karl, Moro, Rouslan A., Schäfer, Dorothea   +2 more
openaire   +4 more sources

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Modeling Banks’ Probability of Default

Applied Economics and Finance, 2015
The unprecedented financial crisis of 2008-2009 has called attention to limitations of existing methods for estimating the default risk of financial intuitions. Over the past decade, we have had considerable success at predicting default and credit relative value using Merton-type structural models and Hybrid Probability of Default models.
openaire   +3 more sources

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

ESTIMATION OF THE DEFAULT PROBABILITY OF COMMERCIAL BANK BORROWERS: CASE STUDY

Вісник Харківського національного університету імені В.Н. Каразіна: Серія Економіка, 2021
The paper describes the essence of the risks that banks face in their activities, first of all, that of the credit risk, the level of which is determined by the size of financial losses if a borrower does not repay credit funds and interest for using ...
Tatiana Bitkova, Tatiana Verkhovod
doaj   +1 more source

Domain associated with zinc fingers‐containing NF90‐NF45 complex inhibits m6A modification of primary microRNA by suppressing METTL3/14 activity

FEBS Open Bio, EarlyView.
NF90–NF45 functions as a negative regulator of methyltransferase‐like 3/14 (METTL3/14)‐mediated N6‐methyladenosine (m6A) modification on primary microRNAs (pri‐miRNAs). NF90–NF45 binds to anti‐oncogenic pri‐miRNAs and inhibits their m6A modification, thereby suppressing the biogenesis of anti‐oncogenic miRNAs.
Takuma Higuchi, Shunsuke Morioka, Keiko Morisawa, Kazutsugu Matsukawa, Shingo Ashida, Takeshi Suzuki, Shuji Sakamoto   +6 more
wiley   +1 more source