+7 925 966 4690, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
Financial Analytics: Science and Experience
 

Methods for testing the efficiency of the financial market

Vol. 8, Iss. 21, JUNE 2015

PDF  Article PDF Version

Available online: 14 June 2015

Subject Heading: MATHEMATICAL ANALYSIS AND MODELING IN ECONOMICS

JEL Classification: 

Pages: 58-68

Ivanchenko I.S. Rostov State University of Economics, Rostov-on-Don, Russian Federation
ivanchenko_is@mail.ru

Importance The article analyzes and classifies mathematical methods that national and foreign economists use to evaluate the efficiency of the lending market and securities market. The research is relevant since the Russian economists express absolutely opposite views on the efficiency of the Russian stock market. Furthermore, various testing methods applied considerably influence an evaluation, which, in its turn, impacts investment decisions.
     Objectives
The article aims at aligning numerous methods for analyzing the quality of the financial market by their ability to test market efficiency forms as adequately as possible.
     Methods The proposed classification is of hierarchical and multicriteria nature. The mathematical methods were grouped on the basis of the hypothesis of that there are three levels of the financial market efficiency, and their traditional division to technical and fundamental analysis.
     Results
Upon completion of analytical procedures, I grouped the methods for testing the quality of the lending market and securities market in line with selected classification criteria. I also identified the most reliable mathematical procedures to perform such studies.
     Conclusions and Relevance Following the research, I conclude that the classification and ranking of mathematical methods for studying economic entities and phenomena are the main objectives of economic analysis. When identical classes of computational procedures are identified, it is possible to avoid calculations giving one and the same results, save time for studying, make a deliberate choice of methods pertaining to different hierarchical levels. The results of the research may prove useful for improving the quality of financial market efficiency tests.

Keywords: efficiency, stock market, lending market, testing, information effectiveness, classification, efficiency method

References:

  1. Bodie Z., Kane A., Marcus A. Printsipy investitsii [Essentials of Investments]. Moscow, Vil'yams Publ., 2002, 984 p.
  2. Zamkov O.O., Tolstopyatenko A.V., Cheremnykh Yu.N. Matematicheskie metody v ekonomike [Mathematical methods in economics]. Moscow, Lomonosov Moscow State University Publ., 1999, 368 p.
  3. Ivanchenko I.S. Analiz kachestvennogo sostoyaniya rossiiskogo rynka tsennykh bumag [Analyzing the quality of the Russian securities market]. Finansy i kredit = Finance and Credit, 2010, no. 6, pp. 11–19.
  4. Ivanchenko I.S. Analiz kachestvennogo sostoyaniya rossiiskogo ssudnogo rynka [Analyzing the quality of the Russian lending market]. Bankovskoe delo = Banking, 2010, no. 11, pp. 54–57.
  5. Magnus Ja.R., Katyshev P.K., Peresetskii A.A. Ekonometrika. Nachal'nyi kurs [Econometrics. Elementary course]. Moscow, Delo Publ., 2000, 400 p.
  6. Nalivaiskii V.Yu., Ivanchenko I.S. Issledovanie stepeni effektivnosti rossiiskogo fondovogo rynka [Studying the effectiveness of the Russian stock market]. Rynok tsennykh bumag = Securities Market, 2004, no. 15, pp. 46–49.
  7. Peters E.E. Fraktal'nyi analiz finansovykh rynkov [Fractal Market Analysis: Applying Chaos Theory to Investment and Economics]. Moscow, Internet-Treiding Publ., 2004, 286 p.
  8. Peters E.E. Khaos i poryadok na rynkakh kapitala. Novyi analiticheskii vzglyad na tsikly, tseny i izmenchivost' rynka [Chaos and Order in the Capital Markets: A New Analytical View of Cycles, Prices and Market Volatility]. Moscow, Mir Publ., 2000, 276 p.
  9. Runyon R. Spravochnik po neparametricheskoi statistike [Nonparametric Statistics]. Moscow, Finansy i statistika Publ., 1982, 195 p.
  10. Tyurin Yu.N., Makarov A.A. Analiz dannykh na komp'yutere [Computer-assisted data analysis]. Moscow, INFRA-M Publ., 1995, 384 p.
  11. Aatola P., Ollikka K., Ollikainen M. Testing Weak and Semi-Strong Forms of Informational Efficiency in the EU ETS Markets. University of Helsinki, Department of Economics and Management. Discussion Papers, 2010, no. 48, pp. 1–51.
  12. Allen F., Karjalainen R. Using Genetic Algorithms to Find Technical Trading Rules. Journal of Financial Economics, 1999, vol. 51, iss. 2, pp. 245–271.
  13. Ananzeh I.E.N. Testing the Weak Form of Efficient Market Hypothesis: Empirical Evidence from Jordan. International Business and Management, 2014, no. 9(2), pp. 119–123.
  14. Boboc I.A., Dinica M.C. An Algorithm for Testing the Efficient Market Hypothesis. PLoS ONE, 2013, vol. 8, iss. 10, e78177.
  15. Fama E. Efficient Capital Markets: a Review of Theory and Empirical Work. Journal of Finance, 1970, no. 25, pp. 383–417.
  16. Grzyb J. Testing Different Forms of Market Efficiency Using the Dow Jones Industrial Average Index. Europa-Universitat Viadrina Frankfurt (Oder), Faculty of Business Administration and Economics. Seminar Paper, 2007, pp. 1–41.
  17. Guidi F., Gupta R. Are ASEAN Stock Market Efficient? Evidence from Univariate and Multivariate Variance Ratio Tests. Griffith University, Australia. Discussion Papers Finance, 2011, no. 13, pp. 1–17.
  18. Gümüs F., Zeren F. Analyzing the Efficient Market Hypothesis with the Fourier Unit Root Test: Evidence from G-20 Countries. Ekonomski horizonti, 2014, vol. 16, no. 3, pp. 225–237.
  19. Gupta N., Gedam A. Testing of Efficient Market Hypothesis: a Study on Indian Stock Market. Journal of Business and Management, 2014, vol. 16, iss. 8, pp. 28–38.
  20. Hokroh M. An Application of the Weak Form of the Efficiency Hypothesis on the Saudi Arabia Stock Market after Tadawul. Asian Journal of Finance & Accounting, 2013, vol. 5, no. 1, pp. 386–395.
  21. Holland J.H. Outline for a Logical Theory of Adaptive Systems. Journal of the Association for Computing Machinery, 1962, no. 3, pp. 297–314.
  22. Khan A., Ikram S. Testing Strong Form Market Efficiency of Indian Capital Market: Performance Appraisal of Mutual Funds. International Journal of Business & Information Technologies, 2011, vol. 1, no. 1, pp. 151–161.
  23. Kutchu V. Testing Semi-strong Efficiency of Indian Stock Market a Study on Effect of Union Budget 2012 on Six Select Sectoral Stocks. Journal of Arts, Science & Commerce. International Refereed Research Journal, 2012, vol. III, iss. 3, pp. 74–81.
  24. Lan Y.W. Testing the Efficient Market Hypothesis (EMH) upon the Information of Securities Lending Matter: A Case of Taiwan. International Journal of Academic Research in Economics and Management Sciences, 2012, vol. 1, no. 2, pp. 237–252.
  25. Nisar S., Hanif M. Testing Weak Form of Efficient Market Hypothesis: Empirical Evidence from South-Asia. World Applied Sciences Journal, 2012, no. 17(4), pp. 414–427.
  26. Nwosa P.I., Oseni I.O. Efficient Market Hypothesis and Nigerian Stock Market. Research Journal of Finance and Accounting, 2011, vol. 2, no. 12, pp. 38–47.
  27. Oke M., Azeez B. A Test of Strong-Form Efficiency of the Nigerian Capital Market. Business Systems Review, 2012, vol. 1, no. 1, pp. 10–26.

View all articles of issue

 

ISSN 2311-8768 (Online)
ISSN 2073-4484 (Print)

Journal current issue

Vol. 17, Iss. 1
March 2024

Archive