Quantitative Analysis of Tesla Inc. in the Context of the Covid-19

DOI

10.2991/aebmr.k.220307.106How to use a DOI?

Keywords

Firm Value; Value Investment; Quantitative Analysis; COVID-19

Abstract

Value investing is one of the most pragmatic valuation techniques for investors to decisions based on real for business or industry in various periods, and it has proved to be successful in many practical applications such as the acquisition the company shares based on the exploration of its current operations and providing reliable information for shareholders and boards in the company. The purpose of this essay is to conduct a quantitative analysis of Tesla Ltd., particularly during the Covid-19 by analyzing financial statements, stock prices, and making multiple valuations. However, because since this is an innovative topic of research, there have been few studies on it. The essay presents the comprehensive overview of various ratios of financial statements of Tesla Inc. in both 2019 and 2020, followed by an in-depth analysis on estimating share prices and enterprise value, and then comparing the estimating value with the real value to determine whether these key figures of Tesla Inc. were overestimated or underestimated. The Multiple Valuation Method is used as the primary tool for valuation in this essay. By the end of the essay, the essay calculates whether the key figures of Tesla Inc. are overestimated or underestimated. Finally, clear justification, suggestions, and recommendations for future research topics about Coca-Cola Companies are made.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

Download article (PDF)

TY  - CONF
AU  - Junyang Song
PY  - 2022
DA  - 2022/03/26
TI  - Quantitative Analysis of Tesla Inc. in the Context of the Covid-19
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 662
EP  - 666
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.106
DO  - 10.2991/aebmr.k.220307.106
ID  - Song2022
ER  -