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A Study of Recruitment & Selection of Employees in Public Sector Enterprises of India

Author

Listed:
  • Dr. S. Poornima

    (Associate Professor, P.S.G.R.Krishnammal College for Women, Coimbatore)

  • V. Chitra

    (Assistant Professor, Karpagam Institute of Technology, Coimbatore)

Abstract

This study investigates whether Friday effect exist in NSE NIFTY. The weekend Effect or Day of the Week Effect has been a hot research topic among academicians for decades. The most popular Anomaly is the Friday Effect, meaning that the Friday’s Average Return is significantly higher than the Other Days’ Average Returns. The presence of Friday Effect defeats the basic premises of the Efficient Market Hypothesis. Besides, it has greater implications on the design of investment strategy in the long run. The outcome of the study initiate that there was Highest Mean Return recorded in Friday and the Lowest Mean Returns were recorded in Monday for the sample indices. The analysis of seasonality results point out there is no significant Friday Effect exists in NSE NIFTY during the study period.

Suggested Citation

  • Dr. S. Poornima & V. Chitra, 2014. "A Study of Recruitment & Selection of Employees in Public Sector Enterprises of India," Journal of Commerce and Trade, Society for Advanced Management Studies, vol. 9(1), pages 46-52, April.
    • Handle: RePEc:jct:journl:v:9:y:2014:i:1:p:46-52
    as

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    References listed on IDEAS

    as
    1. Chris Brooks & Gita Persand, 2001. "Seasonality in Southeast Asian stock markets: some new evidence on day-of-the-week effects," Applied Economics Letters, Taylor & Francis Journals, vol. 8(3), pages 155-158.
    2. Syed Basher & Perry Sadorsky, 2006. "Day-of-the-week effects in emerging stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 13(10), pages 621-628.
    3. Jeffrey Jaffe & R. Westerfield, "undated". "The Week-End Effect in Common Stock Returns: The International Evidence," Rodney L. White Center for Financial Research Working Papers 3-85, Wharton School Rodney L. White Center for Financial Research.
    4. Jaffe, Jeffrey F & Westerfield, Randolph, 1985. "The Week-End Effect in Common Stock Returns: The International Evidence," Journal of Finance, American Finance Association, vol. 40(2), pages 433-454, June.
    5. Lakonishok, Josef & Maberly, Edwin, 1990. "The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-243, March.
    6. Jeffrey Jaffe & R. Westerfield, "undated". "The Week-End Effect in Common Stock Returns: The International Evidence," Rodney L. White Center for Financial Research Working Papers 03-85, Wharton School Rodney L. White Center for Financial Research.
    7. Seyed Mehdian & Mark J. Perry, 2001. "The Reversal of the Monday Effect: New Evidence from US Equity Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 1043-1065.
    8. Seyed Mehdian & Mark J. Perry, 2001. "The Reversal of the Monday Effect: New Evidence from US Equity Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 1043-1065, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Day of the Week Effect; Friday Effect; Efficient Market Hypothesis; Seasonality; Dummy Variable Regression Model.;
    All these keywords.

    JEL classification:

    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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