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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM36772

PRE - POST COVID 19 STOCK ANALYSIS OF ONGC

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM36772

Volume:

8 |

7 |

Jul 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM36772

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VK

Vikram Kumar

DSV

Dr. Somya Vatsnayan

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Abstract

The financial markets have been significantly influenced by Covid19. Investors have reallocated their portfolios as a result of changing expectations for risk and return. In both academia and industry, building a portfolio via wise stock selection has been seen as a problem. The stock market’s inherent uncertainties are to blame for this. Stock selection in a portfolio is impacted by anticipated price movement. The predictability of stock price changes has been disputed for a very long time, however. The random walk hypothesis (Fama, 1995) states that since stock price changes are unpredictable and lack memory, the past cannot foretell the future. Therefore, if the market is efficient, the stock price at the moment represents all the information. Since insider trading is required, it is impossible to outperform the market and is compatible with EMH. Therefore, the quest for effective forecasting techniques does not lead to consistent, long-term trends that can be predicted. According to the findings, investors have begun redistributing their portfolios across other equities in response to the current financial crisis related to COVID-19. But not all investors experience the same situation when switching from risky to risk- free investments.

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Vikram Kumar, Dr. Somya Vatsnayan, "PRE - POST COVID 19 STOCK ANALYSIS OF ONGC," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 7, Jul 2024. https://doi.org/10.55041/IJSREM36772

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Publication Date

7/24/2024

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