IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v15y2023i7p35.html
   My bibliography  Save this article

What Contribute to the Growth of EV Automakers’ Valuation? The Case of Tesla and Nio

Author

Listed:
  • Quang Nguyen Tran

Abstract

What does contribute to the tremendous valuation of electric vehicles (EVs) producers? Two prominent and representative EV producers, Tesla, and Nio are carefully examined and evaluated in this case study. The significant valuation growth of EV producers can be attributed to a range of factors, including industry growth expectations and unrelated to the growth in R&D expenses and the volatility of Google Search volume. Using multiple valuation methods, I conclude that EV producers are currently overvalued.

Suggested Citation

  • Quang Nguyen Tran, 2023. "What Contribute to the Growth of EV Automakers’ Valuation? The Case of Tesla and Nio," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 15(7), pages 1-35, July.
    • Handle: RePEc:ibn:ijefaa:v:15:y:2023:i:7:p:35
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijef/article/download/0/0/48905/52709
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/ijef/article/view/0/48905
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mr. Pragyan Deb & Davide Furceri & Mr. Jonathan David Ostry & Nour Tawk & Naihan Yang, 2021. "The Effects of Fiscal Measures During COVID-19," IMF Working Papers 2021/262, International Monetary Fund.
    2. Abarbanell, JS & Bushee, BJ, 1997. "Fundamental analysis, future earnings, and stock prices," Journal of Accounting Research, Wiley Blackwell, vol. 35(1), pages 1-24.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chi Chen & Li Zhao & Wei Cao & Jiang Bian & Chunxiao Xing, 2020. "Trimming the Sail: A Second-order Learning Paradigm for Stock Prediction," Papers 2002.06878, arXiv.org.
    2. Chahine, Salim & Daher, Mai & Saade, Samer, 2021. "Doing good in periods of high uncertainty: Economic policy uncertainty, corporate social responsibility, and analyst forecast error," Journal of Financial Stability, Elsevier, vol. 56(C).
    3. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    4. Francesco Campanella & Mario Mustilli & Eugenio D¡¯Angelo, 2016. "Efficient Market Hypothesis and Fundamental Analysis: An Empirical Test in the European Securities Market," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 27-42, February.
    5. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    6. Jaimin Goh & Jaehong Lee & Wonchang Hur & Yunchang Ju, 2019. "Do Analysts Fully Reflect Information in Patents about Future Earnings?," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    7. Jacob Thomas & Frank Zhang, 2007. "Tax Expense Surprises and Future Returns," Yale School of Management Working Papers amz2531, Yale School of Management, revised 01 Feb 2008.
    8. Ruey S. Tsay & Yi-Mien Lin & Hsiao-Wen Wang, 2009. "Residual income, non-earnings information, and information content," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 487-511.
    9. Gregory D. Kane & Ryan D. Leece & Frederick M. Richardson & Uma Velury, 2015. "The Impact of Recession on the Value-relevance of Accounting Information," Australian Accounting Review, CPA Australia, vol. 25(2), pages 185-191, June.
    10. Anwer S. Ahmed & Irfan Safdar, 2017. "Evidence on the Presence of Representativeness Bias in Investor Interpretation of Consistency in Sales Growth," Management Science, INFORMS, vol. 63(1), pages 97-113, January.
    11. Zhang, H.S. & Shen, X.Y. & Huang, J.P., 2016. "Pattern of trends in stock markets as revealed by the renormalization method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 340-346.
    12. Rajiv D. Banker & Dmitri Byzalov & Shunlan Fang & Byunghoon Jin, 2020. "Operating asymmetries and non-linear spline correction in discretionary accrual models," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 803-850, April.
    13. repec:bny:wpaper:0126 is not listed on IDEAS
    14. Poonawala, Sakina H. & Nagar, Neerav, 2019. "Gross profit manipulation through classification shifting," Journal of Business Research, Elsevier, vol. 94(C), pages 81-88.
    15. Gongmeng Chen & Louis T. W. Cheng & Ning Gao, 2005. "Information Content and Timing of Earnings Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(1‐2), pages 65-95, January.
    16. Lin Gan & Takahashi Yoshifumi & Nomura Hisako & Yabe Mitsuyasu, 2024. "The short‐ and long‐term impacts of overinvestments on the profitability of agri‐food processing firms in China," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 227-247, January.
    17. Jamshid Ardalankia & Mohammad Osoolian & Emmanuel Haven & G. Reza Jafari, 2019. "Scaling Features of Price-Volume Cross-Correlation," Papers 1903.01744, arXiv.org, revised Aug 2020.
    18. Ng, Chi Cheong Allen & Shen, Jianfu, 2016. "Screen winners from losers using simple fundamental analysis in the Pacific-Basin stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 159-177.
    19. Jun, So Young & Kim, Dong Sung & Jung, Suk Yoon & Jun, Sang Gyung & Kim, Jong Woo, 2022. "Stock investment strategy combining earnings power index and machine learning," International Journal of Accounting Information Systems, Elsevier, vol. 47(C).
    20. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    21. Dichev, Ilia & Huang, Xinyi & Lee, Donald K.K & Zhao, Jianxin, 2023. "You have a point - but a point is not enough: The case for distributional forecasts of earnings," SocArXiv 4b2y8, Center for Open Science.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:ijefaa:v:15:y:2023:i:7:p:35. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.