@article{naeem_measuring_nodate,
	title = {Measuring the effectiveness of signals approach in an early warning system for crises and its impact on textile industry: a case study for {South}-{East} {Asia}},
	volume = {72},
	issn = {1222-5347},
	url = {http://www.revistaindustriatextila.ro/images/2021/2/09%20ZAHID%20NAEEM%20Industria%20Textila%202_2021.pdf},
	doi = {10.35530/IT.072.02.1780},
	abstract = {Following   the   work   of   Kaminsky,   Lizondo,   and   Reinhart   (1997),   Signals   Extraction Approach   has   been   adopted   withsome extensions for South-East Asian (SEA) region to investigate the performance of the technique as an Early WarningSystem (EWS) during Asian Financial Crisis (AFC) and Global Financial Crisis (GFC). This approach is very original inthe   context   of   investigating   the   impact   on   the   dynamics   of   the   textile   industry   in   South-East   Asia.   Two   additionalapproaches   namely   Signal   to   Noise   Balance   (STNB)   and   Kuipers   Score   (KS)   have   also   been   utilised.   Outcomesuggested that variables performed well both during AFC and GFC. However, predictive ability of variables was lessduring GFC compared to the AFC indicating that there may exist some complex phenomenon which requires compositestatistical methods.},
	language = {English},
	number = {2},
	journal = {Industria Textila},
	author = {NAEEM, MUHAMMAD ZAHID and SPULBAR, CRISTI and EJAZ, ABDULLAH and BIRAU, RAMONA and GORUN, TIBERIU HORAȚIU and REBEGEA , CRISTIAN},
	pages = {175--190 },
}