Serpil KahramanGorkem SariyerKahraman, SerpilSariyer, Gorkem2025-10-06202220736606, 241045312073-66062410-453110.18522/2073-6606-2022-20-4-115-1282-s2.0-85146996073https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146996073&doi=10.18522%2F2073-6606-2022-20-4-115-128&partnerID=40&md5=5aed391dcd59d9187d0ff6e7f91b463dhttps://gcris.yasar.edu.tr/handle/123456789/8765https://doi.org/10.18522/2073-6606-2022-20-4-115-128Money markets play a key role in macroeconomic stability. This study aims to extend discriminant function analysis and apply early warning models to detect the signalling indicators of the currency crises in developing countries for the period between 1987 and 2007. The obtained model based on the data on India Indonesia South Korea Malaysia Mexico Philippines Russia Turkey and Thailand then tested in another set of six developing countries including Argentina Brazil Chile Colombia Uruguay and Venezuela. The theoretical premise of the paper is based on the three-generation currency crisis models. The empirical findings indicate that current account balance / reserves M2 growth (annual %) domestic credit provided by banking sector (%of GDP) bank liquid reserves to bank assets ratio (%) and GDP annual growth are the leading indicators of currency crises. The model provided by DFA has around 60% accuracy in foreseeing the status of crisis in the test data set. The results suggest that discriminant function analysis would be a useful tool to predict the “signal”. © 2023 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/openAccessCurrency Crisis, Currency Crisis Index, Discriminant Function Analysis, Early Warning Signal Approach, Emerging Market EconomiesDiscriminant Function AnalysisCurrency CrisisEmerging Market EconomiesEarly Warning Signal ApproachCurrency Crisis IndexArticle