Forecasting Tesla stock prices using ARIMA models

Manchu, Leela Prakash (2024) Forecasting Tesla stock prices using ARIMA models. Masters thesis, Dublin, National College of Ireland.

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Abstract

The project’s findings include further exploited by financial institutions, including such entities as hedge funds and portfolio managers. This group can benefit from the unveiling of reliable forecasting models provided by the project since such deliverables can be used to manage one’s portfolio better. In general, due to improved asset allocation, investment funds’ performance can be increased (Mei et al., 2018). Moreover, those working in the area of financial analytics and being researchers, or data scientists, can make use of the study’s methodological contributions.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Nolan, Eamon UNSPECIFIED
Subjects:	H Social Sciences > HG Finance Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Motor Industry H Social Sciences > HG Finance > Investment > Stock Exchange
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	03 Sep 2025 11:46
Last Modified:	03 Sep 2025 11:46
URI:	https://norma.ncirl.ie/id/eprint/8740

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