An Empirical Study of a Direct Inter-relationship between Thanksgiving Day and Luxury Related Industry’s Corresponding Stock Market
Authors
Tong Mai1, Xiaopeng Wang2, *, Mingyang Li3, Zixuan Yun4, Dewei Huang5
1The Affiliated International School of Shenzhen University, Shenzhen province 518000 China
2New Channel-UIBE Qingdao A-level Centre, Qingdao, 266034, China
3Chongqing Depu foreign language school 401320 China
4Hohhot second high school Hohhot Inner Mongolia 010000 China
5Guangdong Experimental High School 510000 China
*Corresponding author. Email: ann_hk@163.com
Corresponding Author
Xiaopeng Wang
Available Online 1 July 2022.
- DOI
- 10.2991/aebmr.k.220603.136How to use a DOI?
- Keywords
- Abnormal Returns; Thanksgiving Day; Luxury’s stock market
- Abstract
This paper is dominantly studying about the size of effects on the luxury related stock markets when there is a special occasion, Thanksgiving days, taken place. An index call BK4202 related to apparel, accessories and luxury goods is used as the representation of accessories stock market. Mathematical models such as PMCC, hypothesis testing, and T test are applied to support the initial statement that a positive relationship is between Thanksgiving holidays and luxury goods’s market performance and there is chance for investors to earn abnormal returns.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Tong Mai AU - Xiaopeng Wang AU - Mingyang Li AU - Zixuan Yun AU - Dewei Huang PY - 2022 DA - 2022/07/01 TI - An Empirical Study of a Direct Inter-relationship between Thanksgiving Day and Luxury Related Industry’s Corresponding Stock Market BT - Proceedings of the 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022) PB - Atlantis Press SP - 831 EP - 837 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220603.136 DO - 10.2991/aebmr.k.220603.136 ID - Mai2022 ER -