@article{spulbar_is_2020,
	title = {Is {Taiwan} a black swan phenomenon for local textile and clothing industry?{A} robust nonlinear regression-based model for stock exchange prediction},
	volume = {71},
	issn = {12225347},
	shorttitle = {Is {Taiwan} a black swan phenomenon for local textile and clothing industry?},
	url = {http://revistaindustriatextila.ro/images/2020/6/012%20CRISTI%20SPULBAR_Industria%20Textila%206_2020.pdf},
	doi = {10.35530/T.071.06.1737},
	abstract = {Local apparel and textile manufacturing industry in Taiwan is a sector of great importance for sustainable economicgrowth. A stock market is an effective barometer indicating the economic health of a country and Taiwan is a case evenmore special. However, is Taiwan a black swan phenomenon for local apparel and textile manufacturing industryconsidering its economic growth and financial perspectives? In addition to existing literature, this research articleprovides a new robust nonlinear regression-based model for stock exchange prediction for Taiwan stock market. Thefinancial data series used for the econometric analysis include the period from January 2000 to July 2018 for 13 mainstock markets from countries all around the globe, such as: Taiwan, Spain, Poland, Hungary, Romania, Canada, USA,Japan, Germany, France, UK, India, and China. The final multiple regression equation provides a new prediction modelfor Taiwan’s main stock market index. A sustainable economic growth in Taiwan is necessary to achieve major objectivessuch as social justice, poverty alleviation and natural environment protection. The stock market in Taiwan plays anessential role in order to stimulate economic growth and technological progress by attracting foreign investment andforeign capital. In a globalized economy, the inter-linkages between stock markets are complex and can significantlyinfluence Taiwan’s sustainable development.},
	number = {06},
	urldate = {2020-12-31},
	journal = {Industria Textila},
	author = {Spulbar, Cristi and Ehsanifar, Mohammad and Birau, Ramona and Gorun, Tiberiu Horațiu and Doagă, Iulius Daniel and Ejaz, Abdullah and Ullal, Mithun S. and Stanciu, Cristian Valeriu},
	month = dec,
	year = {2020},
	pages = {580--586},
}