IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v31y2019icp110-118.html

Sorting out the financials: Making economic sense out of statistical factors

Author

Listed:
  • Lončarski, Igor
  • Vidovič, Luka

Abstract

In this paper we explore systematic and efficient use of a large amount of financial statement data most often used by financial analysts for the valuation purposes in terms of relative valuation (multiples). We use principal component analysis to analyze financial statement data and/or ratios at a company level. We transform financial statement data into new variables that exhibit distinct economic interpretations and can be considered as value drivers reflecting profitability, growth prospects, and risk.

Suggested Citation

  • Lončarski, Igor & Vidovič, Luka, 2019. "Sorting out the financials: Making economic sense out of statistical factors," Finance Research Letters, Elsevier, vol. 31(C), pages 110-118.
    • Handle: RePEc:eee:finlet:v:31:y:2019:i:c:p:110-118
    DOI: 10.1016/j.frl.2019.04.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612318309425
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2019.04.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Driessen, Joost & Melenberg, Bertrand & Nijman, Theo, 2003. "Common factors in international bond returns," Journal of International Money and Finance, Elsevier, vol. 22(5), pages 629-656, October.
    2. Dong-Hee Kim & Hawoong Jeong, 2005. "Systematic analysis of group identification in stock markets," Papers physics/0503076, arXiv.org, revised Oct 2005.
    3. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    4. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 38, pages 1-41.
    5. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    6. Ou, Jane A. & Penman, Stephen H., 1989. "Financial statement analysis and the prediction of stock returns," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 295-329, November.
    7. repec:ebl:ecbull:v:7:y:2004:i:3:p:1-10 is not listed on IDEAS
    8. Nicholas J. Cox, 2011. "Stata tip 96: Cube roots," Stata Journal, StataCorp LLC, vol. 11(1), pages 149-154, March.
    9. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    10. Abarbanell, JS & Bushee, BJ, 1997. "Fundamental analysis, future earnings, and stock prices," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 35(1), pages 1-24.
    11. Hirshleifer, David & Hou, Kewei & Teoh, Siew Hong, 2009. "Accruals, cash flows, and aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 91(3), pages 389-406, March.
    12. Lev, B & Thiagarajan, Sr, 1993. "Fundamental Information Analysis," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 31(2), pages 190-215.
    13. Perignon, Christophe & Smith, Daniel R. & Villa, Christophe, 2007. "Why common factors in international bond returns are not so common," Journal of International Money and Finance, Elsevier, vol. 26(2), pages 284-304, March.
    14. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    15. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
    16. Daniel J. Fenn & Mason A. Porter & Stacy Williams & Mark McDonald & Neil F. Johnson & Nick S. Jones, 2010. "Temporal Evolution of Financial Market Correlations," Papers 1011.3225, arXiv.org, revised May 2011.
    17. M. Hossein Partovi & Michael Caputo, 2004. "Principal Portfolios: Recasting the Efficient Frontier," Economics Bulletin, AccessEcon, vol. 7(3), pages 1-10.
    18. Driessen, J.J.A.G. & Melenberg, B. & Nijman, T.E., 2000. "Common Factors in International Bond Returns," Other publications TiSEM e68d1d99-1c0f-43a6-977e-e, Tilburg University, School of Economics and Management.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pedro Antonio Martín-Cervantes & María del Carmen Valls Martínez, 2023. "Unraveling the relationship between betas and ESG scores through the Random Forests methodology," Risk Management, Palgrave Macmillan, vol. 25(3), pages 1-29, September.
    2. Siddik, Abu Bakkar & Li, Yong & Du, Anna Min, 2024. "Unlocking funding success for generative AI startups: The crucial role of investor influence," Finance Research Letters, Elsevier, vol. 69(PB).
    3. Lan, Hai & Zheng, Puyang & Li, Zheng, 2021. "Constructing urban sprawl measurement system of the Yangtze River economic belt zone for healthier lives and social changes in sustainable cities," Technological Forecasting and Social Change, Elsevier, vol. 165(C).

    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. Hou, Kewei & Mo, Haitao & Xue, Chen & Zhang, Lu, 2017. "The Economics of Value Investing," Working Paper Series 2017-16, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    2. 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).
    3. Libin Yang & William Rea & Alethea Rea, 2015. "Stock Selection with Principal Component Analysis," Working Papers in Economics 15/03, University of Canterbury, Department of Economics and Finance.
    4. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    5. Feifei Wang & Xuemin Sterling Yan & Lingling Zheng, 2024. "Do sophisticated investors follow fundamental analysis strategies? Evidence from hedge funds and mutual funds," Review of Accounting Studies, Springer, vol. 29(2), pages 1097-1146, June.
    6. Krauss, Christopher & Krüger, Tom & Beerstecher, Daniel, 2015. "The Piotroski F-Score: A fundamental value strategy revisited from an investor's perspective," FAU Discussion Papers in Economics 13/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    7. Bartram, Söhnke M. & Grinblatt, Mark, 2018. "Agnostic fundamental analysis works," Journal of Financial Economics, Elsevier, vol. 128(1), pages 125-147.
    8. Libin Yang & William Rea & Alethea Rea, 2017. "Financial Insights from the Last Few Components of a Stock Market PCA," IJFS, MDPI, vol. 5(3), pages 1-12, July.
    9. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    10. Zhu, Zhaobo & Sun, Licheng & Yung, Kenneth, 2020. "Fundamental strength strategy: The role of investor sentiment versus limits to arbitrage," International Review of Financial Analysis, Elsevier, vol. 71(C).
    11. Doron Avramov & Guy Kaplanski & Avanidhar Subrahmanyam, 2022. "Postfundamentals Price Drift in Capital Markets: A Regression Regularization Perspective," Management Science, INFORMS, vol. 68(10), pages 7658-7681, October.
    12. 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.
    13. Peng-Chia Chiu & Timothy D. Haight, 2020. "Investor learning, earnings signals, and stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 671-698, February.
    14. Monika Witkowska, 2006. "Fundamentals and stock returns on the Warsaw Stock Exchange. The application of panel data models," Working Papers 11, Department of Applied Econometrics, Warsaw School of Economics.
    15. Libin Yang & William Rea & and Alethea Rea, 2015. "Identifying Highly Correlated Stocks Using the Last Few Principal Components," Papers 1512.03537, arXiv.org.
    16. Partha Mohanram & Sasan Saiy & Dushyantkumar Vyas, 2018. "Fundamental analysis of banks: the use of financial statement information to screen winners from losers," Review of Accounting Studies, Springer, vol. 23(1), pages 200-233, March.
    17. Chi Cheong Allen Ng & Jianfu Shen, 2020. "Quality investing in Asian stock markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 3033-3064, September.
    18. Mark Anderson & Soonchul Hyun & Volkan Muslu & Dongning Yu, 2024. "Earnings prediction with DuPont components and calibration by life cycle," Review of Accounting Studies, Springer, vol. 29(2), pages 1456-1490, June.
    19. Anwer S. Ahmed & Irfan Safdar, 2018. "Dissecting stock price momentum using financial statement analysis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 3-43, November.
    20. Safdar, Irfan, 2016. "Industry competition and fundamental analysis," Journal of Accounting Literature, Elsevier, vol. 37(C), pages 36-54.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:finlet:v:31:y:2019:i:c:p:110-118. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.