Impact of the pandemic (COVID-19) on the financial performance of selected Indian telecommunication sector
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.72Keywords:
Financial Performance, Financial Health, Covid-19, Regulators, PolicymakersDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Financial performance is an important measure investors use to assess the firm’s financial position and health for a given period. It evaluates the company’s overall performance and progress and determines its potential future growth, structure, and effectiveness. The COVID-19 pandemic has impacted all industries across the globe. The study examines the impact of the Pandemic (COVID-19) on the financial performance of chosen Indian Telecommunication companies. It evaluates the financial performance during the pre-Covid and post-Covid periods. The study covers Indian firms listed in NSE from the Telecommunications Sector. The study examines the financial performance of five parameters of 10 firms from the Telecommunications sector for two years before the Covid-19 Pandemic and after the Covid-19 Pandemic using paired t-tests. The study will help investors, shareholders, regulators, and policymakers by analysing the Indian Telecommunication sector.Abstract
How to Cite
Downloads
Similar Articles
- K. Mohamed Arif Khan, A.R. Mohamed Shanavas, Optimizing IoT application deployment with fog - cloud paradigm: A resource-aware approach , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Priya Rani, Sonia, Garima Dalal, Pooja Vyas, Pooja, Mapping electric vehicle adoption paradigms: A thematic evolution post sustainable development goals implementation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Madhu Bala Sharma, Pooja Yadav, A survey of attitude and behavior of Indian equity investors towards cryptocurrencies: Using smart-PLS and systematic equation modeling (SEM) approach , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Hemamalini V., Victoria Priscilla C, Deep learning driven image steganalysis approach with the impact of dilation rate using DDS_SE-net on diverse datasets , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- S. Sindhu, L. Arockiam, A lightweight selective stacking framework for IoT crop recommendation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Sabeerath K, Manikandasaran S. Sundaram, ESPoW: Efficient and secured proof of ownership method to enable authentic deduplicated data access in public cloud storage , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Nida Syeda, Kishore Selva Babu, Exploring the role of digital humanities in the centralization of knowledge production: Clusters, networks, or echo chambers , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Vishal Panghal, Asha Singh, Dinesh Arora, Nidhi Ahlawat, Sunder S. Arya, Sunil Kumar, Horizontal flow biochar amended constructed wetlands as a sustainable approach for rural wastewater treatment , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Olivia C. Gold, Jayasimman Lawrence, Ensemble of CatBoost and neural networks with hybrid feature selection for enhanced heart disease prediction , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 31 32 33 34 35 36 37 38 39 40 > >>
You may also start an advanced similarity search for this article.

