Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Series Vol. 59 , 05 January 2024
Open
Access | Article
Analyzing the Resilience of Amazon and Darden Amidst the COVID-19 Pandemic: A Time-Series Study with ARIMA Modeling
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Abstract
On March 16, 2020, in response to the emergence of the COVID-19 virus, the United States implemented an indefinite quarantine mandate. This unprecedented measure had repercussions, affecting businesses, schools, and government facilities across the nation. The mandate required these entities to either operate at reduced capacity or to halt operations altogether. Consequently, the stock market experienced extreme volatility during this period. This study aims to conduct an in-depth analysis of the responses to the pandemic of two firms operating in different industries. Amazon, an e-commerce and technology giant in the broadband retail industry, found itself with unprecedented demand for online shopping and cloud services considering the prevalent supply chain disruptions at the time. On the flip side, Darden Restaurants, a prominent player in the restaurant industry, had to either operate at a limited capacity, or shut down most of its restaurants altogether in coordination with the mandated closures issued by the government. This study will employ time series analysis techniques, specifically Autoregressive (AR), Moving Average (MA), and ARIMA (Autoregressive Integrated Moving Average) models. The objective is to assess the influence of COVID-19 on the selected firms and extract valuable insights from the data.
Keywords
Amazon, Darden, COVID-19, ARIMA model, Stock performance
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
- ISBN (Print)
- 978-1-83558-209-1
- ISBN (Online)
- 978-1-83558-210-7
- Published Date
- 05 January 2024
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/59/20231097
- Copyright
- 05 January 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited