1Veerendra Anchan, 2Vansh Shah, 3Vatsal Desai, 4Rushabh Shah
1Assistant Professor, Anil Surendra Modi School of Commerce, NMIMS University, Mumbai
2,3,4Student, MSc. (Finance), Anil Surendra Modi School of Commerce, NMIMS University, Mumbai
DOI : https://doi.org/10.47191/ijmra/v7-i11-16Google Scholar Download Pdf
ABSTRACT:
This study explores the relationship between stock volatility, measured by beta & price movement patterns using the Fibonacci series in the context of low beta stocks. Low beta stocks, typically more stable than high beta ones, were analyzed using Fibonacci retracement & extension levels to identify key support & resistance points. Historical price data from Nifty 50 low beta were examined under various market conditions including bullish, bearish & stable. The findings from our research indicate that the low beta stocks adhere to Fibonacci levels, hence it offers reliable long-term guidance. The study highlights that while Fibonacci retracement levels are useful, their effectiveness depends on stock volatility & market conditions, which helps investors in optimizing their trading strategies.
KEYWORDS:Stocks, Low beta, volatility, Fibonacci retracement levels, support & resistance.
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Volume 07 Issue 11 November 2024
There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.
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