Optimizing Portfolio for Highly Funded Industries Within Budget Constraints for the Period of 20232024
subject: Budget 2023; Portfolio Optimization; Time Series Analysis
description: This research paper aims to analyze and optimize portfolios for the top funded industries based on the budget23. The study uses a data-driven approach to identify the best investment opportunities within these industries. The methodology involves collecting financial data, conducting market analysis, and using optimization techniques to create an optimal portfolio. The results of the study show that the top funded industries have a high potential for growth, and the optimized portfolios can maximize returns while minimizing risk. The findings can provide valuable insights for investors and fund managers who are seeking to make informed investment decisions in these industries. The study also highlights the importance of considering the budget constraints while optimizing portfolios. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
creator: Nanjundan P.; George J.P.; Birari A.; Geetha P.S.; Manwali M.
source: Communications in Computer and Information Science, Vol-2047 CCIS, pp. 168-179.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 18650929; ISBN: 978-303155485-8
format: Online
language: English
type: Conference paper
coverage: Nanjundan P., CHRIST(Deemed to be University), Bengaluru, India; George J.P., CHRIST(Deemed to be University), Bengaluru, India; Birari A., CHRIST(Deemed to be University), Bengaluru, India; Geetha P.S., Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Vijayawada, India; Manwali M., Graphic Era Hill University, Dehradun, India