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The midst of the COVID-19 pandemic : Retail investors investment decisions in Indian stock market

Vijaya Ahilaji Tupe & Bipin Rambhaji Bankar

Journal of Statistics and Management Systems2026https://doi.org/10.47974/jsms-1550article
ABDC C
Weight
0.50

What the paper says

We examined the actions of retail investor’s pre and post COVID-19 pandemic in the Indian stock market. In 2020, Covid impacted the entire year, and the Nifty range was highlighted at the end of each month, reflecting the same year’s Nifty range and a bullish trend by the year’s conclusion. The contribution of retail investor is huge number in Indian stock market. Year on year this number has increased other than HNI, Institutions investors etc. Beside the creation portfolio which generated financial decision by investors behaviour. The Study defined fundamental & technical analysis terms build portfolio of investor. The rate of demat account openings has increased over the years, and currently, this figure for retail continues to rise consistently. The study investigated the history of Indian stock market as well all crashed impacted on market. Then emerge of BSE, NSE, and Nifty. Market sentiment & Volatility effect on Indian retail investor’s behaviour. The study shows benefits of investing.

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Cite this paper

https://doi.org/https://doi.org/10.47974/jsms-1550

Or copy a formatted citation

@article{vijaya2026,
  title        = {{The midst of the COVID-19 pandemic : Retail investors investment decisions in Indian stock market}},
  author       = {Vijaya Ahilaji Tupe & Bipin Rambhaji Bankar},
  journal      = {Journal of Statistics and Management Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.47974/jsms-1550},
}

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The midst of the COVID-19 pandemic : Retail investors investment decisions in Indian stock market

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.