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Turn of the Month and Turn of the Month Surrounding Days Effects in Istanbul Stock Exchange

Author

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  • Cemal Berk OÄŸuzsoy
  • Sibel Güven

    (Cemal Berk Oğuzsoy and Sibel Güven are at the Department of Industrial Engineering, Middle East Technical University, Ankara, Turkey. oguzsoy@isbank.net.tr)

Abstract

We present evidence on the existence of the turn of the month and what we call turn of the month surrounding days effect in the I . stanbul Stock Exchange (ISE) for the period between 1988 and 1999, using ISE National 100 Composite Index and 30 most highly traded stocks of ISE (ISE 30 stocks). The usual definition of the turn, that is, days –1 to +4, is found to be statistically significant at the 10 per cent level for ISE National 100 Composite Index with comparably higher average returns than the rest of the month. However, the results obtained for the days surrounding the turn, that is, the period consisting of days –4 to –2 and +5 to +9, are statistically much more crucial than the results for the turn period itself. The average return in the turn of the month surrounding days is drastically smaller than the average return in the rest of the month, and the results are statistically significant at the 1 per cent level for the index. In the analysis of ISE 30 stocks individually, for the turn period, it is observed that while only seven of the ISE 30 stocks have significant F-statistics, average returns for all stocks without exception for the turn period are higher than the rest of the month. For the surrounding days, confirming the strange characteristics obtained for the index, 19 of the ISE 30 stocks have significant F-statistics (13 of them at the 1 per cent level) and there is not a single stock whose average return for the turn of the month surrounding days is higher than the average return for the rest of the month.

Suggested Citation

  • Cemal Berk OÄŸuzsoy & Sibel Güven, 2006. "Turn of the Month and Turn of the Month Surrounding Days Effects in Istanbul Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 5(1), pages 1-13, April.
  • Handle: RePEc:sae:emffin:v:5:y:2006:i:1:p:1-13
    DOI: 10.1177/097265270500500101
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    References listed on IDEAS

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    1. Cadsby, Charles Bram & Ratner, Mitchell, 1992. "Turn-of-month and pre-holiday effects on stock returns: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 16(3), pages 497-509, June.
    2. Ercan Balaban & M. Bulu, 1996. "Is There a Semi-Monthly Effect in the Turkish Stock Market?," Discussion Papers 9606, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    3. 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.
    4. Jaffe, Jeffrey & Westerfield, Randolph, 1989. "Is there a monthly effect in stock market returns? : Evidence from foreign countries," Journal of Banking & Finance, Elsevier, vol. 13(2), pages 237-244, May.
    5. Ariel, Robert A., 1987. "A monthly effect in stock returns," Journal of Financial Economics, Elsevier, vol. 18(1), pages 161-174, March.
    6. Ziemba, William T., 1991. "Japanese security market regularities : Monthly, turn-of-the-month and year, holiday and golden week effects," Japan and the World Economy, Elsevier, vol. 3(2), pages 119-146, September.
    7. Theodor Kohers & Jayen Patel, 1999. "A new time-of-the-month anomaly in stock index returns," Applied Economics Letters, Taylor & Francis Journals, vol. 6(2), pages 115-120.
    8. Ercan Balaban, 1995. "Day of the week effects: new evidence from an emerging stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 2(5), pages 139-143.
    9. Asli Bayar & Ozgur Berk Kan, 2002. "Day of the Week Effects : Recent Evidence from Nineteen Stock Markets," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 2(2), pages 77-90.
    10. Agrawal, Anup & Tandon, Kishore, 1994. "Anomalies or illusions? Evidence from stock markets in eighteen countries," Journal of International Money and Finance, Elsevier, vol. 13(1), pages 83-106, February.
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    Cited by:

    1. Farag, Hisham, 2013. "Price limit bands, asymmetric volatility and stock market anomalies: Evidence from emerging markets," Global Finance Journal, Elsevier, vol. 24(1), pages 85-97.

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    More about this item

    Keywords

    JEL Classification: G10; JEL Classification: G14; JEL Classification: G15; Turn of the month effect; turn of the month surrounding days effect; behaviour of emerging markets; Ä°stanbul Stock Exchange;
    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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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