Amanote Research

Amanote Research

    RegisterSign In

Identification of Indicators’ Applicability to Settle Borrowers’ Probability of Default

Economics and Culture
doi 10.1515/jec-2016-0007
Full Text
Open PDF
Abstract

Available in full text

Date

June 1, 2016

Authors
Daiva JurevičienėDarius Rauličkis
Publisher

Walter de Gruyter GmbH


Related search

Heterogeneous Borrowers in Quantitative Models of Sovereign Default

SSRN Electronic Journal
2008English

Estimation of Default Probability for Low Default Portfolios

Ekonomika
2012English

Modeling the Default Probability of the Russian Banks

Digest Finance
2017English

Default Times, No-Arbitrage Conditions and Changes of Probability Measures

Finance and Stochastics
UncertaintyStatisticsFinanceProbability
2012English

Credit Default Swaps as Indicators of Bank Financial Distress

SSRN Electronic Journal
2015English

CoRisk: Measuring Systemic Risk Through Default Probability Contagion

SSRN Electronic Journal
2016English

Prediction of Default Probability for Construction Firms Using the Logit Model

Journal of Civil Engineering and Management
CivilManagementStructural EngineeringStrategy
2014English

Loan Default Identification and Its Effect

International Journal of Scientific Research in Computer Science, Engineering and Information Technology
2019English

Lending Practices to Same-Sex Borrowers

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy