Day-of-the-week and other market anomalies in the Indian stock market

被引:24
|
作者
Raj, Mahendra [1 ]
Kumari, Damini [1 ]
机构
[1] Robert Gordon Univ, Aberdeen Business Sch, Aberdeen, Scotland
关键词
Stock markets; India; Seasonality;
D O I
10.1108/17468800610674462
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose - This paper attempts to investigate the presence of seasonal effects in the Indian stock market. Design/methodology/approach - The paper tests the efficiency of the Indian stock market through a number of hypotheses. Week day effects, day-of-the-week, weekend, January and April effects are examined by applying a variety of statistical techniques. Findings - The results are interesting and contradict some of the findings found elsewhere. The negative Monday effect and the positive January effects are not found in India. Instead the Monday returns are positive while Tuesday returns are negative. Research limitations/implications - The seasonal effects in the Indian market have been examined by the two major indices, the Bombay Stock Exchange Index and the National Stock Exchange Index. However, it must be remembered that the Indian economy became deregulated from 1991 and this may have had an impact on the markets. Practical implications - This study indicates that the Indian stock market does not exhibit the usual seasonal anomalies such as Monday and January effect. The absence of Monday effect could be due to the settlement period in Indian market. That the tax year ends in March and December has no special significance may explain the non-existence of January Originality/value - Most of the studies on anomalies have dealt with the developed markets. The Indian market has its unique Badla financing, settlement period duration and trading regulations. The presence/absence of the anomalies may provide support to some of the hypotheses used to explain them.
引用
收藏
页码:235 / 246
页数:12
相关论文
共 50 条
  • [1] Day-of-the-week effect and volatility in stock returns: evidence from the Indian stock market
    Aggarwal, Khushboo
    Jha, Mithilesh Kumar
    [J]. MANAGERIAL FINANCE, 2023, : 1438 - 1452
  • [2] Stock market return and volatility: day-of-the-week effect
    M. Hakan Berument
    Nukhet Dogan
    [J]. Journal of Economics and Finance, 2012, 36 (2) : 282 - 302
  • [3] The day-of-the-week effect on global stock market volatility after a market shock
    Kang, Taehyeon
    Cho, Eunyoung
    [J]. APPLIED ECONOMICS LETTERS, 2024, 31 (08) : 696 - 701
  • [4] Day-of-the-week effect on the Tunisian stock market return and volatility
    Derbali, Abdelkader
    Hallara, Slaheddine
    [J]. COGENT BUSINESS & MANAGEMENT, 2016, 3
  • [5] Analysis of the day-of-the-week anomaly for the case of emerging stock market
    Sakalauskas, Virgilijus
    Kriksciuniene, Dalia
    [J]. PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2007, 4874 : 371 - 382
  • [6] The day-of-the-week effect: South African stock market indices
    du Toit, Elda
    Hall, John Henry
    Pradhan, Rudra Prakash
    [J]. AFRICAN JOURNAL OF ECONOMIC AND MANAGEMENT STUDIES, 2018, 9 (02) : 197 - 212
  • [7] Research on the Day-of-the-week effect of index returns in China stock market
    Lu Fang Yuan
    Li Cheng Yu
    [J]. PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, FINANCE ANALYSIS SECTION, 2007, : 533 - 539
  • [8] The Day-of-the-Week Effect New Evidence from the Chinese Stock Market
    Cai, Jinghan
    Li, Yuming
    Qi, Yuehua
    [J]. CHINESE ECONOMY, 2006, 39 (02) : 71 - 88
  • [9] Empirical evidence of disappearing day-of-the-week effect in Chinese stock market
    Zhang, Bing
    Sheng, Zhaohan
    [J]. Proceedings of the 2005 Conference of System Dynamics and Management Science, Vol 1: SUSTAINABLE DEVELOPMENT OF ASIA PACIFIC, 2005, : 476 - 479
  • [10] Application of Neural Networks for Investigating Day-of-the-Week Effect in Stock Market
    Sakalauskas, Virgilijus
    Kriksciuniene, Dalia
    [J]. TOOLS AND APPLICATIONS WITH ARTIFICIAL INTELLIGENCE, 2009, 166 : 77 - 87