IDEAS home Printed from https://ideas.repec.org/a/ora/journl/v1y2013i1p89-96.html
   My bibliography  Save this article

Paradoxes Of Modern Stock Exchange Markets

Author

Listed:
  • CIOBANU Gheorghe

    (Babeș - Bolyai University, Faculty of Economics and Business Administration, Cluj-Napoca, Romania,)

  • SECHEL Ioana Cristina

Abstract

In this article we propose an easy approach of stock exchanges and their impact on the real economy. The paradoxes of modern stock exchanges are commonly understood as opinions that contradict the generally accepted truth and therefore are considered absurdities or huge enormity by the majority of the population. The paradoxes are essentially based on logical arguments that sometimes can lead to contrary or contradictory conclusions (depends on the situation) of a truth already known and accepted. In connection with capital market, through this approach we try to highlight a few aspects that come out from everyday life, breaking the monotony of theoretical resolutions. We can associate anomalies in trading financial instruments with prove that financial markets are inefficient. They can be highlighted best on the developed financial markets. Through their specific, there are anomalies in a stock market that demonstrates either that the market is inefficient or that there are some discrepancies regarding certain asset price formation. If we talk about market inefficiency hypothesis, it is demonstrated that in that market, the efficiency of the market is not verified or partially verified. It has been shown that such anomalies tend to diminish or even disappear in time, thereby reducing or even eliminating the profit opportunities of the investors who speculate on them (Schwert, 2003, p 940). The stock exchange anomalies, especially those with a direct impact on the financial instruments price which are traded on stock exchanges, are likely to offer investors the opportunity to obtain above-average market gains, in term of a proper management. To assess whether or not the phenomenon can be considered as a stock market anomaly, it must be compared with a normal behavior or with a normal model. In addition to the main categories of stock market anomalies that we identified (calendar, technical or fundamental) a paradox of recent years in the investment in stock market is the high-frequency trading (HFT - high-frequency trading), this requires a ultra-fast trading of the securities, using special algorithms but also highly advanced technologies. The effects of very rapid extension of these practices are reaping huge profits in fractions of time increasing fraction of time here, and more than that the pronounced weakening of the link between the stock market and the real economy.

Suggested Citation

  • CIOBANU Gheorghe & SECHEL Ioana Cristina, 2013. "Paradoxes Of Modern Stock Exchange Markets," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 89-96, July.
  • Handle: RePEc:ora:journl:v:1:y:2013:i:1:p:89-96
    as

    Download full text from publisher

    File URL: http://anale.steconomiceuoradea.ro/volume/2013/n1/009.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Josef Lakonishok, Seymour Smidt, 1988. "Are Seasonal Anomalies Real? A Ninety-Year Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 403-425.
    2. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    3. Sven Bouman & Ben Jacobsen, 2002. "The Halloween Indicator, "Sell in May and Go Away": Another Puzzle," American Economic Review, American Economic Association, vol. 92(5), pages 1618-1635, December.
    4. Edwin D. Maberly & Raylene M. Pierce, 2004. "Stock Market Efficiency Withstands Another Challenge: Solving the "Sell in May/Buy after Halloween" Puzzle," Econ Journal Watch, Econ Journal Watch, vol. 1(1), pages 29-46, April.
    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. Melinda-Timea FÜLÖP & Mirela-Oana PINTEA, 2015. "The Link Between Corporate Governance And Performance - Evidence From Romania," Management Intercultural, Romanian Foundation for Business Intelligence, Editorial Department, issue 33, pages 81-90, April.
    2. Zain UI Abideen & Zeeshan Ahmed & Huan Qiu & Yiwei Zhao, 2023. "Do Behavioral Biases Affect Investors’ Investment Decision Making? Evidence from the Pakistani Equity Market," Risks, MDPI, vol. 11(6), pages 1-32, June.

    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. Mostafa Saidur Rahim Khan & Naheed Rabbani, 2019. "Market Conditions and Calendar Anomalies in Japanese Stock Returns," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(2), pages 187-209, June.
    2. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    3. Dichtl, Hubert & Drobetz, Wolfgang, 2015. "Sell in May and Go Away: Still good advice for investors?," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 29-43.
    4. Guglielmo Maria Caporale & Alex Plastun, 2016. "Calendar Anomalies in the Ukrainian Stock Market," Discussion Papers of DIW Berlin 1573, DIW Berlin, German Institute for Economic Research.
    5. Degenhardt, Thomas & Auer, Benjamin R., 2018. "The “Sell in May” effect: A review and new empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 169-205.
    6. Qadan, Mahmoud & Aharon, David Y. & Cohen, Gil, 2020. "Everybody likes shopping, including the US capital market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    7. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Halloween Effect in developed stock markets: A historical perspective," International Economics, Elsevier, vol. 161(C), pages 130-138.
    8. Guan, Xian & Saxena, Konark, 2015. "Capital market seasonality: The curious case of large foreign stocks," Finance Research Letters, Elsevier, vol. 15(C), pages 85-92.
    9. Dragos Stefan Oprea, 2014. "The Halloween Effect Evidence from Romania," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(7), pages 463-471, July.
    10. Zhang, Cherry Y. & Jacobsen, Ben, 2021. "The Halloween indicator, “Sell in May and Go Away”: Everywhere and all the time," Journal of International Money and Finance, Elsevier, vol. 110(C).
    11. Stefanescu, Razvan & Dumitriu, Ramona, 2016. "Particularitǎţi ale evoluţiei variabilelor financiare [Some particularities of the financial variables evolution]," MPRA Paper 73481, University Library of Munich, Germany, revised 02 Sep 2016.
    12. Cooper, Michael J. & McConnell, John J. & Ovtchinnikov, Alexei V., 2006. "The other January effect," Journal of Financial Economics, Elsevier, vol. 82(2), pages 315-341, November.
    13. Vasileiou, Evangelos, 2018. "Is the turn of the month effect an “abnormal normality”? Controversial findings, new patterns and…hidden signs(?)," Research in International Business and Finance, Elsevier, vol. 44(C), pages 153-175.
    14. Wagner, Moritz & Lee, John Byong-Tek & Margaritis, Dimitris, 2022. "Mutual fund flows and seasonalities in stock returns," Journal of Banking & Finance, Elsevier, vol. 144(C).
    15. Lee, King Fuei, 2021. "An Anomaly within an Anomaly: The Halloween Effect in the Long-term Reversal Anomaly," MPRA Paper 110859, University Library of Munich, Germany.
    16. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    17. Bing Zhang & Xindan Li, 2006. "Do Calendar Effects Still Exist in the Chinese Stock Markets?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(2), pages 151-163.
    18. Peter Arendas & Viera Malacka & Maria Schwarzova, 2018. "A Closer Look at the Halloween Effect: The Case of the Dow Jones Industrial Average," IJFS, MDPI, vol. 6(2), pages 1-12, April.
    19. Stefanescu Razvan & Dumitriu Ramona, 2021. "The Extended Holiday Effects on Bucharest Stock Exchange during Coronavirus Pandemic," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 293-303.
    20. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2019. "Rise and fall of calendar anomalies over a century," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 181-205.

    More about this item

    Keywords

    stock market paradox; high-frecquency trading; january effect; weekend effect;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    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:ora:journl:v:1:y:2013:i:1:p:89-96. 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: Catalin ZMOLE (email available below). General contact details of provider: https://edirc.repec.org/data/feoraro.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.