IDEAS home Printed from https://ideas.repec.org/a/hur/ijarbs/v4y2014i7p463-471.html
   My bibliography  Save this article

The Halloween Effect Evidence from Romania

Author

Listed:
  • Dragos Stefan Oprea

Abstract

This paper examines the Halloween effect in the Romanian stock market. The analysis is conducted for four stock indices using monthly returns. The Halloween effect is not identified for any of the indices. Therefore, an investment strategy based on the Halloween effect was not suitable for investors in this market.

Suggested Citation

  • 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.
  • Handle: RePEc:hur:ijarbs:v:4:y:2014:i:7:p:463-471
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/The_Halloween_Effect_Evidence_from_Romania.pdf
    Download Restriction: no

    File URL: http://hrmars.com/hrmars_papers/The_Halloween_Effect_Evidence_from_Romania.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Doyle, John R. & Chen, Catherine Huirong, 2009. "The wandering weekday effect in major stock markets," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1388-1399, August.
    2. Edwin Maberly & Raylene Pierce, 2003. "The Halloween Effect and Japanese Equity Prices: Myth or Exploitable Anomaly," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 10(4), pages 319-334, December.
    3. Liviu GEAMBAŞU & Ion STANCU, 2010. "The Liquidity of the Bucharest Stock Exchange (BSE) during the Financial Crisis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 5(5(546)), pages 7-26, May.
    4. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    5. Dragota, Victor & Mitrica, Eugen, 2004. "Emergent capital markets' efficiency: The case of Romania," European Journal of Operational Research, Elsevier, vol. 155(2), pages 353-360, June.
    6. 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.
    7. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    8. Dichtl, Hubert & Drobetz, Wolfgang, 2014. "Are stock markets really so inefficient? The case of the “Halloween Indicator”," Finance Research Letters, Elsevier, vol. 11(2), pages 112-121.
    9. Thaler, Richard H, 1987. "The January Effect," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 197-201, Summer.
    10. Haggard, K. Stephen & Witte, H. Douglas, 2010. "The Halloween effect: Trick or treat?," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 379-387, December.
    11. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    12. Ben Jacobsen & Nuttawat Visaltanachoti, 2009. "The Halloween Effect in U.S. Sectors," The Financial Review, Eastern Finance Association, vol. 44(3), pages 437-459, August.
    13. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    14. 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.
    15. H. Douglas Witte, 2010. "Outliers and the Halloween Effect: Comment on Maberly and Pierce," Econ Journal Watch, Econ Journal Watch, vol. 7(1), pages 91-98, January.
    16. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    17. Galai, Dan & Kedar-Levy, Haim & Schreiber, Ben Z., 2008. "Seasonality in outliers of daily stock returns: A tail that wags the dog?," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 784-792, December.
    18. Lucey, Brian M & Zhao, Shelly, 2008. "Halloween or January? Yet another puzzle," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1055-1069, December.
    19. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Satria Bagus Wicaksana & Nadia Asandimitra, 2018. "Halloween Effect in Indonesia Stock Exchange," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 8(3), pages 118-127, July.

    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. 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.
    2. 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.
    3. Ramona DUMITRIU & Razvan STEFANESCU, 2014. "Gone Fishin’ Effects In Returns," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 254-261.
    4. 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.
    5. Dragos Stefan Oprea & Elena Valentina Tilica, 2014. "Day-of-the-Week Effect in Post-Communist East European Stock Markets," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(3), pages 119-129, July.
    6. 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.
    7. Alex Plastun & Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2019. "Halloween Effect in Developed Stock Markets: A US Perspective," Working Papers 201914, University of Pretoria, Department of Economics.
    8. 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.
    9. Carrazedo, Tiago & Curto, José Dias & Oliveira, Luís, 2016. "The Halloween effect in European sectors," Research in International Business and Finance, Elsevier, vol. 37(C), pages 489-500.
    10. Dragos Stefan Oprea & Laura Brad, 2014. "Investor Sentiment and Stock Returns: Evidence from Romania," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(2), pages 19-25, April.
    11. Laurens Swinkels & Pim van Vliet, 2012. "An anatomy of calendar effects," Journal of Asset Management, Palgrave Macmillan, vol. 13(4), pages 271-286, August.
    12. Stefanescu, Razvan & Dumitriu, Ramona & Nistor, Costel, 2012. "Prolonged holiday effects on Romanian capital market before and after the adhesion to EU," MPRA Paper 52770, University Library of Munich, Germany, revised Jan 2013.
    13. Dinesh Jaisinghani & Muskan Kaur & Mohd Merajuddin Inamdar, 2019. "Analyzing seasonal anomalies for Israel: evidence from pre- and post-global financial crisis," Managerial Finance, Emerald Group Publishing, vol. 46(3), pages 435-450, December.
    14. Dichtl, Hubert & Drobetz, Wolfgang, 2014. "Are stock markets really so inefficient? The case of the “Halloween Indicator”," Finance Research Letters, Elsevier, vol. 11(2), pages 112-121.
    15. repec:hur:ijaraf:v:4:y:2014:i:2:p:23-29 is not listed on IDEAS
    16. Stefan Abrantes Costa & Pedro Manuel Nogueira Reis & Antonio Pedro Soares Pinto, 2020. "Subjective/ Behavioural Factors Influence the PSI 20 and IBEX 35," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(5), pages 13-27, October.
    17. Stefanescu, Răzvan & Dumitriu, Ramona, 2016. "The impact of the Great Lent and of the Nativity Fast on the Bucharest Stock Exchange," MPRA Paper 89023, University Library of Munich, Germany, revised 22 Dec 2016.
    18. Lijuan Huo & Jin Seo Cho, 2019. "Testing for the Sandwich-Form Covariance Matrix Applied to Quasi-Maximum Likelihood Estimation Using Economic and Energy Price Growth Rates," Working papers 2019rwp-152, Yonsei University, Yonsei Economics Research Institute.
    19. 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).
    20. Haggard, K. Stephen & Witte, H. Douglas, 2010. "The Halloween effect: Trick or treat?," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 379-387, December.
    21. repec:wyi:journl:002087 is not listed on IDEAS
    22. Satya P. Das & Mausumi Das & Thomas B. Fomby, 2004. "Decreasing marginal impatience, income distribution and demand for money: Theory and evidence," Discussion Papers 04-04, Indian Statistical Institute, Delhi.

    More about this item

    Keywords

    Seasonal anomalies; Halloween effect; Romanian stock market; Sector indices; Market efficiency;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:hur:ijarbs:v:4:y:2014:i:7:p:463-471. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://hrmars.com/index.php/pages/detail/IJARBSS .

    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: Hassan Danial Aslam (email available below). General contact details of provider: http://hrmars.com/index.php/pages/detail/IJARBSS .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.