a Record control number WOS:000326889800065

a ISSN 0941-0643

a Original cataloging agency NEU GrandLibrary

a Language code of text/sound track or separate title eng

a Classification number QA76.73

b Item number .E27 2013

a Personal name Karahoca, Dilek.

h Medium Electronic Document

a Title An early warning system approach for the identification of currency crises with data mining techniques

c Statement of responsibility, etc Dilek Karahoca, Adem Karahoca, Özerk Yavuz.

b Name of publisher, distributor, etc Sprınger,

c Date of publication, distribution, etc 2013.

a Summary, etc It is a well-known fact that currency crises can be extremely costly to the countries, institutions and businesses with its damaging long-term effects. If the history of currency crises is investigated, it would be seen that crises cause many hazarding effects on economies, business policies and assets. It would generally have short-term and long-term effects and often spill over, via a variety of channels to other countries and companies. In this study, it is aimed to investigate the dominant factors that lead to currency crises. Discovering the nature and characteristics of currency crises and predicting possible currency crises in an early phase would save managers some time in better crisis management policies and corrective actions. We employed data mining techniques to construct an early warning system for the knowledge discovery and early prediction purposes of currency crises with the aim of providing an in-depth understanding of the topic for the researchers and managers

a Topical term or geographic name as entry element Near East University Article

a Topical term or geographic name as entry element Yakın Doğu Üniversitesi Makale

a Topical term or geographic name as entry element Computer science

a Topical term or geographic name as entry element Early warning system

a Topical term or geographic name as entry element Predicting currency crisis

a Topical term or geographic name as entry element Emergıng Markets

a Topical term or geographic name as entry element Leadıng Indıcators

g Relationship information Dec 2013, Vol.23, Issue:7-8, p.2471-2479

t Title Neural Computıng & Applıcatıons

x International Standard Serial Number 09410643

u Uniform Resource Identifier http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1007/s00521-012-1206-9