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
- Vishnu Prasad C, Ramaprabha D, An assessment of growth indicators and intricacies of Udyam entities in the post-pandemic era , The Scientific Temper: Vol. 15 No. 04 (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
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , 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
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Prabagar, Vinay K. Nassa, Senthil V. M, Shilpa Abhang, Pravin P. Adivarekar, Sridevi R, Python-based social science applications’ profiling and optimization on HPC systems using task and data parallelism , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- V Vijayaraj, M. Balamurugan, Monisha Oberai, Machine learning approaches to identify the data types in big data environment: An overview , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Worku Masho, Habtamu Arega, Elias Bayou, Regasa Begna, The Effect of estrus synchronization with prostaglandin (PGF2α) hormone on reproductive performances of Bonga sheep ewes flushed with different local forages in Kaffa zone, Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Vatsal Parashar, Dimple Raina, Shweta Sahni, Molecular profiling and prevalence of hepatitis B virus (HBV) in clinical isolates and its importance , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Chandrasekaran M, Rajesh P K, Optimization of cost to customer of power train in commercial vehicle using knapsack dynamic programming influenced by vehicle IoT data , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
<< < 12 13 14 15 16 17 18 19 20 21 > >>
You may also start an advanced similarity search for this article.
