TY - JOUR
T1 - Are Business Cycles in the Fashion Industry Affected by the News? -An ARIMAX Time Series Correlation Analysis between the KOSPI Index for Textile & Wearing Apparel and Media Agendas-
AU - Kim, Hyojung
AU - Park, Minjung
N1 - Publisher Copyright:
© 2023, The Korean Society of Clothing and Textiles. All rights reserved.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Auto-regressive integrated moving average exogenous
KW - Fashion industry big data
KW - Fashion industry news
KW - Framing effects
KW - Textile & Wearing Apparel KOSPI
UR - https://www.scopus.com/pages/publications/85178255228
U2 - 10.5850/JKSCT.2023.47.5.779
DO - 10.5850/JKSCT.2023.47.5.779
M3 - Article
AN - SCOPUS:85178255228
SN - 1225-1151
VL - 47
SP - 779
EP - 803
JO - Journal of the Korean Society of Clothing and Textiles
JF - Journal of the Korean Society of Clothing and Textiles
IS - 5
ER -