Authors :
P. Vidya Vaishnavi
Volume/Issue :
Volume 10 - 2025, Issue 8 - August
Google Scholar :
https://tinyurl.com/2vcvf5c6
Scribd :
https://tinyurl.com/3fnc3zc5
DOI :
https://doi.org/10.38124/ijisrt/25aug350
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
This study explores the presence of seasonal patterns—also known as calendar anomalies—in the Indian stock
market. Using findings from various researchers, it examines whether specific months or days consistently show higher or
lower returns. The analysis focuses on well-known indices such as Nifty 50, Sensex, BSE 500, Midcap, and SmallCap over
different time periods from 1990 to 2021.
Key findings show that while some months like February, November, and April have offered better returns during
certain years, these patterns are not consistent over time. Notably, the popular January effect seen in Western markets is
mostly absent in India. The study also looks into the weekend effect but finds little or no clear advantage in trading on
specific weekdays.
Seasonal effects seem to be more noticeable in small-cap stocks than in large-cap ones. These anomalies suggest that
the Indian stock market is not perfectly efficient, meaning that careful investors might benefit by paying attention to these
patterns. However, because these trends are not always reliable, the study advises caution and recommends combining
seasonal analysis with broader market research.
References :
- Mehta, K., & Chander, R. (2009). Seasonality in Indian Stock Market: A re-examination of January Effect. Asia Pacific Business Review, 5(4), 28-42.
- Pramath Nath Acharya, Srinivasan Kaliyaperumal, Rudra Prasanna Mahapatra; Capturing the month of the year effect in the Indian stock market using GARCH models. VILAKSHAN - XIMB Journal of Management 13 March 2024; 21 (1): 2–14.
- Elango, D. R., & Al Macki, N. (2008). Monday effect and stock return seasonality: Further empirical evidence. The Business Review, Cambridge, 10(2), 282-288.
- Nandi, A., & Samanta, P. K. Weekend Effect: A Case Study on NIFTY 50.
- Verma, D. (2017). A Study of Monthly Seasonality effect in the Indian Stock Markets. Emerging Issues in Finance, 2017, 223.
- Patel, N. R., Radadia, N., & Dhawan, J. (2012). Day of the week effect of Asian stock markets. Researchers World, 3(3), 60.
- Desai, D. J., & Trivedi, A. (2012). A Study of Day of the Month Effect in S&P CNX Nifty 50. Available at SSRN 2186110.
- Raghuram, G. (2017). Investigating the ’Month of the Year’ Effect in India. Indian Journal of Finance, 11(1), 11–28.
- Meher Shiva Tadepalli, Ravi Kumar Jain; Persistence of calendar anomalies: insights and perspectives from literature. American Journal of Business 23 May 2018; 33 (1-2): 18–60.
- Harshita, Shveta Singh, Surendra S. Yadav; Calendar anomaly: unique evidence from the Indian stock market. Journal of Advances in Management Research 5 February 2018; 15 (1): 87–108.
- Dinesh Jaisinghani; An empirical test of calendar anomalies for the Indian securities markets. South Asian Journal of Global Business Research 7 March 2016; 5 (1): 53–84.
- Md Yeasin, Purushottam Sharma, Ranjit Kumar Paul, Dinesh Chand Meena, & Md Ejaz Anwer. (2024). Understanding price volatility and seasonality in agricultural commodities in India. Agricultural Economics Research Review, 36(2), 177-188.
This study explores the presence of seasonal patterns—also known as calendar anomalies—in the Indian stock
market. Using findings from various researchers, it examines whether specific months or days consistently show higher or
lower returns. The analysis focuses on well-known indices such as Nifty 50, Sensex, BSE 500, Midcap, and SmallCap over
different time periods from 1990 to 2021.
Key findings show that while some months like February, November, and April have offered better returns during
certain years, these patterns are not consistent over time. Notably, the popular January effect seen in Western markets is
mostly absent in India. The study also looks into the weekend effect but finds little or no clear advantage in trading on
specific weekdays.
Seasonal effects seem to be more noticeable in small-cap stocks than in large-cap ones. These anomalies suggest that
the Indian stock market is not perfectly efficient, meaning that careful investors might benefit by paying attention to these
patterns. However, because these trends are not always reliable, the study advises caution and recommends combining
seasonal analysis with broader market research.