Applicability of Fibonacci Series on Low Beta Stocks of Nifty-50
Year: 2024
Type: article
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.
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4404491691