IDEAS home Printed from https://ideas.repec.org/a/rbs/ijbrss/v4y2015i4p45-60.html
   My bibliography  Save this article

Comparative Study of Outlier Detection Algorithms via Fundamental Analysis Variables:An Application on Firms Listed in Borsa Istanbul

Author

Listed:
  • Senol Emir

    (Asst. Prof., Faculty of Economics, Istanbul University, 34126 Beyazit, Istanbul, Turkey)

  • Hasan Dincer

    (Assoc.Prof. of Finance, Istanbul Medipol University, School of Business and Management, Beykoz, 34810, Istanbul, Turkey)

  • Umit Hacioglu

    (Assoc.Prof. of Finance, Istanbul Medipol University, School of Business and Management, Beykoz, 34810, Istanbul, Turkey)

  • Serhat Yuksel

    (Asst.Prof. of Economics & Finance, Konya Food & Agriculture University, Faculty of Social Sciences and Humanities, Konya, Turkey)

Abstract

In a data set, an outlier refers to a data point that is considerably different from the others. Detecting outliers provides useful application-specific insights and leads to choosing right prediction models. Outlier detection (also known as anomaly detection or novelty detection) has been studied in statistics and machine learning for a long time. It is an essential preprocessing step of data mining process. In this study, outlier detection step in the data mining process is applied for identifying the top 20 outlier firms. Three outlier detection algorithms are utilized using fundamental analysis variables of firms listed in Borsa Istanbul for the 2011-2014 period. The results of each algorithm are presented and compared. Findings show that 15 different firms are identified by three different outlier detection methods. KCHOL and SAHOL have the greatest number of appearances with 12 observations among these firms. By investigating the results, it is concluded that each of three algorithms makes different outlier firm lists due to differences in their approaches for outlier detection. Key Words:Outlier Detection, Fundamental Analysis, Stock Exchange, k-Nearest Neighbor (k-NN) Global Outlier Score, Histogram Based Outlier Score (HBOS), Robust Principal Component Analysis (rPCA) Outlier Score

Suggested Citation

  • Senol Emir & Hasan Dincer & Umit Hacioglu & Serhat Yuksel, 2015. "Comparative Study of Outlier Detection Algorithms via Fundamental Analysis Variables:An Application on Firms Listed in Borsa Istanbul," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 4(4), pages 45-60, October.
    • Handle: RePEc:rbs:ijbrss:v:4:y:2015:i:4:p:45-60
    as

    Download full text from publisher

    File URL: http://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/132/135
    Download Restriction: no
    File URL: http://www.ssbfnet.com/ojs/index.php/ijrbs/article/view/132
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aizenman, Joshua & Pinto, Brian & Radziwill, Artur, 2007. "Sources for financing domestic capital - Is foreign saving a viable option for developing countries?," Journal of International Money and Finance, Elsevier, vol. 26(5), pages 682-702, September.
    2. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    3. Shawn D. Howton & Steven B. Perfect, 1998. "Currency and Interest-Rate Derivatives Use in US Firms," Financial Management, Financial Management Association, vol. 27(4), Winter.
    4. Ivo Welch, 2011. "Two Common Problems in Capital Structure Research: The Financial‐Debt‐To‐Asset Ratio and Issuing Activity Versus Leverage Changes," International Review of Finance, International Review of Finance Ltd., vol. 11(1), pages 1-17, March.
    5. Dorota Witkowska, 2006. "Discrete Choice Model Application to the Credit Risk Evaluation," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 12(1), pages 33-42, February.
    6. Nadeem Iqbal & Sajid Rahman Khattak & Muhammad Arif Khattak, 2013. "Does Fundamental Analysis Predict Stock Returns? Evidence from Non-Financial Companies Listed on KSE," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(4), pages 182-190, December.
    7. Edmister, Robert O., 1972. "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(2), pages 1477-1493, March.
    8. Peek, Joe & Rosengren, Eric, 1995. "The Capital Crunch: Neither a Borrower nor a Lender Be," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 625-638, August.
    9. Johnson, Craig G, 1970. "Ratio Analysis and the Predicition of Firm Failure," Journal of Finance, American Finance Association, vol. 25(5), pages 1166-1168, December.
    10. Niclas Hellman, 1993. "A comparative analysis of the impact of accounting differences on profits and return on equity," European Accounting Review, Taylor & Francis Journals, vol. 2(3), pages 495-530.
    11. Lorenzo Riccardi, 2016. "China Accounting Standards," Springer Books, Springer, number 978-981-10-0006-5, June.
    12. repec:kap:iaecre:v:12:y:2006:i:1:p:33-42 is not listed on IDEAS
    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. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    2. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    3. Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
    4. Chuan-Hao Hsu & Hung-Gay Fung & Yi-Ping Chang, 2016. "The performance of Taiwanese firms after a share repurchase announcement," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1251-1269, November.
    5. Lepetit, Laetitia & Saghi-Zedek, Nadia & Tarazi, Amine, 2015. "Excess control rights, bank capital structure adjustments, and lending," Journal of Financial Economics, Elsevier, vol. 115(3), pages 574-591.
    6. Mika Nieminen, 2017. "Patterns of international capital flows and their implications for developing countries," WIDER Working Paper Series wp-2017-171, World Institute for Development Economic Research (UNU-WIDER).
    7. Ariane Szafarz, 2015. "Market Efficiency and Crises:Don’t Throw the Baby out with the Bathwater," Bankers, Markets & Investors, ESKA Publishing, issue 139, pages 20-26, November-.
    8. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Risks, MDPI, vol. 6(4), pages 1-18, September.
    9. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    10. AltInkIlIç, Oya & Hansen, Robert S., 2009. "On the information role of stock recommendation revisions," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 17-36, October.
    11. Kim, Sang-Joon & Bae, John & Oh, Hannah, 2019. "Financing strategically: The moderation effect of marketing activities on the bifurcated relationship between debt level and firm valuation of small and medium enterprises," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 663-681.
    12. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    13. Ettore Croci, 2007. "Corporate Raiders, Performance and Governance in Europe," European Financial Management, European Financial Management Association, vol. 13(5), pages 949-978, November.
    14. Sebastian Eichfelder & Mona Lau, 2015. "Capitalization of capital gains taxes: (In)attention and turn-of-the-year returns," FEMM Working Papers 150019, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    15. Kevin Krieger & David Peterson, 2009. "Predicting stock splits with the help of firm-specific experiences," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(4), pages 410-421, October.
    16. Benjamin Bennett & Isil Erel & Léa H. Stern & Zexi Wang, 2020. "Paid Leave Pays Off: The Effects of Paid Family Leave on Firm Performance," NBER Working Papers 27788, National Bureau of Economic Research, Inc.
    17. Andrea Orame, 2020. "The role of bank supply in the Italian credit market: evidence from a new regional survey," Temi di discussione (Economic working papers) 1279, Bank of Italy, Economic Research and International Relations Area.
    18. Wheeler, P. Barrett, 2019. "Loan loss accounting and procyclical bank lending: The role of direct regulatory actions," Journal of Accounting and Economics, Elsevier, vol. 67(2), pages 463-495.
    19. Stijn Claessens & M. Ayhan Kose, 2013. "Financial Crises: Explanations, Types and Implications," CAMA Working Papers 2013-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. Kim, Donghan & Kim, Jun Sik & Seo, Sung Won, 2018. "What options to trade and when: Evidence from seasoned equity offerings," Journal of Financial Markets, Elsevier, vol. 37(C), pages 70-96.

    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:rbs:ijbrss:v:4:y:2015:i:4:p:45-60. 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: Umit Hacioglu (email available below). General contact details of provider: https://edirc.repec.org/data/ssbffea.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.