Title : Relationship of Vodafone idea limited with Nifty and to calculate.
Author : Vidhi Yadav
Introduce : Vodafone Idea Limited was formed in August 2018 as a result of the merger between Vodafone India and Idea Cellular. The merger was aimed at creating a stronger and more competitive player in the Indian telecommunications market. The company provides a wide range of telecommunications services, including mobile voice and data services, broadband, and enterprise solutions.
Objective : To Calculate beta and to see its significance.
Literature view:
- AI-Assisted Multi-Operator RAN Sharing for Energy-Efficient Networks
 
Summary : Saivenkata Krishna et al The fifth-generation (5G) mobile networks have been designed to cater to higher traffic demands, more intelligent terminals, and an ever-growing capacity and service-aware demand, while consuming the same or less energy. A typical network experiences large variations in traffic demand in a day. Moreover, since networks are designed to cater to the demands, large variations could lead to the under-utilization of base station resources and a higher energy consumption during the off-peak hours. To this problem, one can turn off the base station hardware components depending on their activation deactivation and idle time a technique known as advanced sleep modes. The selection of the most suitable sleep mode that fulfills both the quality of service and energy-saving requirements is a complex task, as it depends on their activation deactivation time. the network conditions, and the variation in the energy consumption of a base station with the radio resource used. To this end, reinforcement learning has proven to be a useful assistance tool for radio resource management.
2. The Concept of Learning Cities: Supporting Lifelong Learning through the Use of Smart Tools
Summary : Hirju, I We believe that Lifelong learning is the safest path to accessible opportunities, improving living conditions, and increasing financial wellbeing and income per capita, ultimately ensuring sustainable human development. The United Nation specialized agency for education, UNESCO, supports the right to lifelong learning and conducts its operations in accordance with Sustainable Development Goal While smart cities and learning cities offer many potential benefits, these concepts have been separated historically. By bridging this gap and connecting their objectives, we can see the codependency between lifelong learning and technology, which can ultimately enhance our overall quality of life. Learning cities are characterized by communication, interaction, and learning within the community, while smart cities rely on advanced technology, infrastructure, and organization all.
Data Collection: The data for Nifty and Equity for Vodafone idea limited has been download from Nse.com and Finance.yahoo.com for the period 1st November 2023- 31st Oct 2023. The data was manipulated for closing price of nifty and equity. The weekly returns of nifty and equity were found
Data Analysis:
Vodafone idea share = 0.401+0.529
N=48 Rsquare = 0.01465, f=0.698
The above equation shows the relationship of Vodafone Idea Ltd with Nifty. If Nifty rises by 1 unit, Vodafone will rise by 0.529 unit.
t-stat for b is 0.8359 and the p value is 0.4074 which is more than 0.05, so b= 0, meaning Nifty does not impact Vodafone Idea Ltd shares.
Rsquare is 0.01465, meaning 1% Vodafone Idea Ltd shares is explained by Nifty, Meaning 99% depends on other fundamentals.
F = 0.698 and the p value is more than 0.05, so the model is not statistically significant at 5 % level.
Conclusion:
As beta ( 0.529) is less than 1, so good for long term investment.
Reference
Saivenkata Krishna, G. P., Olsson, M., Andersson, S., Qvarfordt, C., & Dahlen, A. (2023). AI-assisted multi-operator RAN sharing for energy-efficient networks. Telecom, 4(2), 334. doi:https://doi.org/10.3390/telecom4020020
Hirju, I., & Georgescu, R. (2023). The concept of learning cities: Supporting lifelong learning through the use of smart tools. Smart Cities, 6(3), 1385. doi:https://doi.org/10.3390/smartcities6030066