Monday, July 1, 2024
HomeNewsStock Market NewsHigh Volatility In The Stock Market Due To Lok Sabha 2024 Elections...

High Volatility In The Stock Market Due To Lok Sabha 2024 Elections In India

High Volatility In The Stock Market Due To Lok Sabha 2024 Elections In India – Due to the Lok Sabha elections 2024 in India, the stock market is witnessing a lot of fluctuations. Due to this fluctuation, the stock market suddenly fell after rising on 27 May 2024. In this episode, the Nifty 50, which had started rising after a small correction in the morning, suddenly fell by the end of the day session as if today was a monthly expiry.

Read Also Nifty crosses 22900 level and it is Nifty’s highest upper range yet

What Happened After High Volatility In The Stock Market Due To Lok Sabha 2024 Elections In India

Due to this, the premium of the options fluctuated as it happened on the expiry day. Due to this uncertain volatility, the premiums of the Call and Put of the option increased and also fell by 6 to 8 times at the end of the day. That is, the premium of the put of Rs 10 became Rs 60 and the call of Rs 126 fell 8 times to Rs 16.

Read Also Go Digit General Insurance Limited IPO 2024 | Go Digit Insurance IPO

Indian Lok Sabha Election 2024 and Stock Market

Stock market experts believe that this can happen due to the ongoing 2024 Lok Sabha elections in India. This has been happening for the last few weeks. Intraday traders working in options need to be very careful in such a situation. As per SEBI in India, 80 to 90 percent of traders of every 100 remain in loss.

Read Also Aadhar Housing Finance Limited IPO Listings 2024 | Stock Details

Disclaimer: We are not giving buy/sell recommendations regarding any stocks or other financial instruments. All information used here is only for educational purposes. 

How Trending
How Trending
A website where you can find information about Finance, Investing, Stocks, and Crypto. We try to cover all topics from Personal finance to investing in stocks. Our aim is to provide the latest as well as old summarized data that could solve the user problem.
RELATED ARTICLES
- Advertisment -

Most Popular

Recent Comments