TY  - JOUR
TI  - Predictive stock market analysis for Japanese textile companies using ARIMA model
AU  - Meher, Bharat Kumar
AU  - Shreevastava, Aman
AU  - Anand, Abhishek
AU  - Popescu, Virgil
AU  - Birau, Ramona
AU  - Mărgăritescu, Ștefan
AU  - Pai T, Vaikunta
T2  - Industria Textila
AB  - Predicting the stock prices of Japanese textile companies is crucial for several reasons. First, stock price trends provide
valuable insight into the financial health and growth potential of these firms, especially in an industry subject to evolving
consumer trends, technological advancements, and global competition. Investors rely on stock price predictions to make
informed decisions, helping them maximise returns and manage risks effectively. The study aims to predict the stock
prices of Japanese Textile Companies using the ARIMA Model by taking the top 10 textile companies listed on the Tokyo
Stock Exchange (TSE) for a span of 10 years, i.e. 2014 to 2023. Upon evaluation of models, it was found that most of
the corporations had either a negative impact or no impact of past lagged values on their present value, except for
Global Style, which had a positive influence, maybe due to its distinct nature of textile products in comparison to other
corporations. Similarly, Itochu was 91% affected by its own past lagged values, maybe due to its huge operations in
textiles as well as other sectors distinct from textiles. Mostly due to lagged value of past residuals, all the corporations
were negatively affected, but Global Style, Kuraray, Itochu and Yagi were positively impacted, and there was a huge
impact seen in terms of Itochu.
DA  - 2025/08/28/
PY  - 2025
DO  - 10.35530/IT.076.04.2024158
DP  - DOI.org (Crossref)
VL  - 76
IS  - 04
SP  - 466
EP  - 486
SN  - 12225347
UR  - https://revistaindustriatextila.ro/images/2025/4/003%20BHARAT%20KUMAR%20MEHER%20_%20INDUSTRIA%20TEXTILA%20no.4_2025.pdf
Y2  - 2025/08/31/15:17:40
ER  -