Fundamental Analysis of Mid Cap Stocks of Indian in IT Sector

Year : 2024 | Volume :15 | Issue : 03 | Page : –
By

Dhruv Jindal,

Nidhi Sharma,

  1. Student, Department of Management studies (BBA), Rukmini Devi Institute of advanced studies, New Delhi, India
  2. Associate Professor, Department of Management studies (BBA), Rukmini Devi Institute of advanced studies, New Delhi, India

Abstract

‘]

Fundamental analysis is also needed for the classification of financial assets (stocks, bonds and currencies) using economic indicators or valuation methods to determine its true value. The present study is on mid-cap stocks of Information Technology (IT) sector in Indian market which includes sectors software development, hardware manufacturing, semiconductors, IT services internet & e-commerce, telecommunication, cyber security and cloud computing. Mid-cap stocks may provide a good mix of growth potential and somewhat lower risk. The intended research methodology included defining the research go also to help, select sample population and utilize tools for data analysis such as EIC Analysis Quantitative analysis Competitive analyses SWOT surveys The report shed some light on economic landscape, industry trends and individual company performance for investors to follow key financial metrics of other companies with the same records. Though hampered by constraints, the research provided food for thought to investors, who are often advised of using insights into industry dynamics and tech development as well as macroeconomics in addition to fundamental analysis that serves decision-making.

Keywords: Fundamental analysis, mid-cap stocks, Indian IT sector, economic factors, financial metrics, industry trends, SWOT analysis, investment decisions

[This article belongs to Journal of Computer Technology & Applications (jocta)]

How to cite this article:
Dhruv Jindal, Nidhi Sharma. Fundamental Analysis of Mid Cap Stocks of Indian in IT Sector. Journal of Computer Technology & Applications. 2024; 15(03):-.
How to cite this URL:
Dhruv Jindal, Nidhi Sharma. Fundamental Analysis of Mid Cap Stocks of Indian in IT Sector. Journal of Computer Technology & Applications. 2024; 15(03):-. Available from: https://journals.stmjournals.com/jocta/article=2024/view=171877



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References ‘]

  1. Birba DE. A comparative study of data splitting algorithms for machine learning model selection. KTH DIVA. 2020. Available from: http://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A1506870&dswid=-9723
  2. Adebowale A. Renewable energy: powering the circular economy. Int Exec. 2023;1:15.
  3. Gaude VP, Gawas NM, Khandeparkar K, Naik GR, Rivonker NU, Kapdi GG. Fundamental and technical analysis of select FMCG companies in India. Migr Lett. 2024;21(S6):871-883.
  4. Pierdicca R, Frontoni E, Zingaretti P, Malinverni ES, Colosi F, Orazi R. Making visible the invisible: augmented reality visualization for 3D reconstructions of archaeological sites. In: Augmented and Virtual Reality: Second Int Conf, AVR 2015; Lecce, Italy; Aug 31-Sep 3, 2015. Proceedings 2. Springer Int Publ; 2015. p. 25-37.
  5. Giwa YA. Over the counter stocks data acquisition and analysis with time series prediction. Int J Soc Sci Sci Stud. 2024;4(1):3643-3670.
  6. Hanafi I, Pratama D. Comprehensive examination of determinants influencing capital structure and stock returns in mining companies listed on the Indonesian Stock Exchange (2013-2018). InRiau Int Conf Econ Bus Account. 2024;1(2):518-529.
  7. Jha NK. The impact of fundamental analysis in the IT industry before investing: A comparative study on Wipro, TCS, and Infosys. Int J Sci Res. 2024;13(7):10.21275/SR231229194428.
  8. Kara Y, Boyacioglu MA, Baykan ÖK. Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange. Expert Syst Appl. 2011 May;38(5):5311-9.
  9. König G, Neugebauer C, Goldlücke B, Döllner J. HoloMap: Interacting with large geospatial datasets in mixed reality. IEEE Trans Vis Comput Graph. 2019;25(5):2146-56.
  10. Ma Z, Bang G, Wang C, Liu X. Towards earnings call and stock price movement. arXiv preprint arXiv:2009.01317. 2020 Aug 23.
  11. Rezaei H, Faaljou H, Mansourfar G. Stock price prediction using deep learning and frequency decomposition. Expert Syst Appl. 2021 May;169:114332.
  12. Shen J, Shafiq MO. Short-term stock market price trend prediction using a comprehensive deep learning system. J Big Data. 2020 Dec;7:1-33.
  13. Silpa KS, Mol JA, Ambily AS. A study on fundamental analysis of selected IT companies listed at NSE. J Adv Res Dyn Control Syst. 2017;9(5):1-0.
  14. Tiwari P. Augmented reality and its applications in Geographical Information Systems (GIS). IOP Conf Ser Mater Sci Eng. 2020;913(1):012027.
  15. Wulandari W, Iskandar R, Rasyad FH. Analysis of the influence of fundamental financial factors of manufacturing companies in the consumer goods industry on share prices in ISSI. J Sci. 2023 Jun 20;12(03):2332-42.
  16. Xiao J, Li Q, Ma L, Zhang F. Augmented reality applications for geospatial data visualization and analysis. In: 9th Int Workshop Comput Sci Eng (WCSE); 2018.
Regular Issue Subscription Review Article
Volume 15
Issue 03
Received August 2, 2024
Accepted August 13, 2024
Published September 12, 2024
Views: 25

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