Abstract
The growth of digital news media and the stock price index has resulted in economic fluctuations in the fashion industry. This study examines the impact of fashion industry news and macroeconomic changes on the Textile & Wearing Apparel KOSPI over the past five years. An auto-regressive integrated moving average exogenous time series model was conducted using the fashion industry stock market index, the news topic index, and macro-economic indicators. The results indicated the topics of “Cosmetic business expansion” and “Digital innovation” impacted the Textile & Wearing Apparel KOSPI after one week, and the topics of “Pop-up store,” “Entry into the Chinese fashion market,” and “Fashion week and trade show” affected it after two weeks. Moreover, the topics of “Cosmetic business expansion” and “Entry into the Chinese fashion market” were statistically significant in the macroeconomic environment. Regarding the effect relation of Textile & Wearing Apparel KOSPI, “Cosmetic business expansion,” “Entry into the Chinese fashion market,” and consumer price fluctuation showed negative effects, while the private consumption change rate, producer price fluctuation, and unemployment change rate had positive effects. This study analyzes the impact of media framing on fashion industry business cycles and provides practical insights into managing stock market risk for fashion companies.
Original language | English |
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Pages (from-to) | 779-803 |
Number of pages | 25 |
Journal | Journal of the Korean Society of Clothing and Textiles |
Volume | 47 |
Issue number | 5 |
DOIs | |
State | Published - 2023 |
Bibliographical note
Publisher Copyright:© 2023, The Korean Society of Clothing and Textiles. All rights reserved.
Keywords
- Auto-regressive integrated moving average exogenous
- Fashion industry big data
- Fashion industry news
- Framing effects
- Textile & Wearing Apparel KOSPI