Measuring regional business resilience

A Soroka, G Bristow, M Naim, L Purvis - Regional Studies, 2020 - Taylor & Francis
The concept of regional resilience is explored by understanding the resilience of individual
firms within both the region (and their capabilities to cope, adapt and reconfigure) and a …

Credit risk interdependence in global financial markets: evidence from three regions using multiple and partial wavelet approaches

SY Choi - Journal of International Financial Markets, Institutions …, 2022 - Elsevier
Credit risk linkage has primarily been examined from the lens of developed country markets
and using volatility index. In this paper, we investigate the interconnectedness and causality …

A credit ranking model for a parafinancial company based on the ELECTRE-III method and a multiobjective evolutionary algorithm

DAG Chavira, JCL Lopez, JJS Noriega… - Applied Soft …, 2017 - Elsevier
Credit rating is an assessment performed by lenders or financial institutions to determine a
person's creditworthiness based on the proposed terms of the loan. Frequently, these …

Machine learning methods for short-term probability of default: A comparison of classification, regression and ranking methods

L Coenen, W Verbeke, T Guns - Journal of the Operational …, 2022 - Taylor & Francis
Probability of default estimation via machine learning on historical data is widely studied in
credit risk modeling. In this work, we investigated the use of machine learning for a finer …

Creditworthiness evaluation of Italian SMEs at the beginning of the 2007–2008 crisis: An MCDA approach

M Corazza, S Funari, R Gusso - The North American Journal of Economics …, 2016 - Elsevier
In this paper we use a Multi-Criteria Decision Analysis (MCDA) approach in order to
evaluate the creditworthiness of about 40,000 Italian Small and Medium-sized Enterprises …

Assessment of a failure prediction model in the European energy sector: A multicriteria discrimination approach with a PROMETHEE based classification

S Angilella, MR Pappalardo - Expert systems with applications, 2021 - Elsevier
This study presents the implementation of a non-parametric multiple criteria decision aiding
(MCDA) model, the Multi-group Hierarchy Discrimination (MH DIS) model, through the …

Incremental learning optimization on knowledge discovery in dynamic business intelligent systems

D Liu, T Li, D Ruan, J Zhang - Journal of Global Optimization, 2011 - Springer
As business information quickly varies with time, the extraction of knowledge from the
related dynamically changing database is vital for business decision making. For an …

An integrated credit rating and loan quality model: application to bank ship** finance

D Gavalas, T Syriopoulos - Maritime Policy & Management, 2015 - Taylor & Francis
Assessing a borrower's credit quality is a critical input for efficient bank loan facility
allocation, particularly at phases of financial distress. An integrated credit rating model is …

Evaluating banks performance using key financial indicators–a quantitative modeling of Russian banks

S Sharma, M Shebalkov, A Yukhanaev - The Journal of Develo** …, 2016 - muse.jhu.edu
Since the financial crisis of 2008, risk based performance management has been one of the
important indicator to determine the financial health of banks and financial institutions. This …

Riesgo crediticio y rentabilidad de depósitos a corto plazo en las cooperativas de ahorro y crédito. El caso de Perú.

GPM Virgilio, NL Más Caro… - Revista de Estudios …, 2022 - search.ebscohost.com
En tiempos de tasas de interés históricamente bajas, las cooperativas de ahorro y crédito
parecen prometer tasas altas con un riesgo crediticio comparativamente bajo. Perú es uno …