International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

An Empirical Analysis of Investor Behavior: A Post-COVID-19 Examination of Herd Behavior in the National Stock Exchange of India (NSE)

Author(s) Soham Patil, Aarav Jain
Country India
Abstract This research paper investigates investor behavior, specifically focusing on herd behavior, in the National Stock Exchange of India (NSE) during the post-COVID-19 period, from 2020 to the present. Utilizing daily closing prices of companies listed on the Nifty50, the study employs data sourced from the NSE website. In contrast to earlier research that demonstrated herding in developing economies, this paper adopts the methodology outlined by Christie & Huang (1995) to analyze the data.

The study finds no significant evidence of herding during the broader period of market stress in the NSE, suggesting a divergence from previous trends. The results suggest that Indian investors, despite operating in a volatile market environment post-COVID-19, exhibit rational behavior. Unlike some developing economies where herding behavior has been identified, Indian investors seem to rely on private information rather than imitating the actions of their peers.
Keywords Herding, Nifty50, National Stock Exchange, Investor Behavior, Post-COVID-19, Market Stress, Rationality.
Field Sociology > Banking / Finance
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-29
Cite This An Empirical Analysis of Investor Behavior: A Post-COVID-19 Examination of Herd Behavior in the National Stock Exchange of India (NSE) - Soham Patil, Aarav Jain - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18692
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.18692
Short DOI https://doi.org/gtsnt5

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