VOLATILITY ANALYSIS OF SELECTED SME IN NSE
Volatility analysis of Small and Medium Enterprises (SMEs) in the National Stock Exchange (NSE) is a comprehensive process essential for investors and traders seeking to navigate the dynamic landscape of stock prices.At its core, volatility measures the degree of variation in a trading price series over a specified time period, acting as a crucial metric that reflects the level of risk and uncertainty associated with a particular stock.This analysis involves multifaceted components, including the calculation of volatility through statistical measures such as standard deviation or variance.Historical volatility, derived from past price movements, and implied volatility, inferred from options pricing, offer distinct perspectives on a stock's behavior.Time frames for analysis play a crucial role, with investors choosing appropriate durations such as daily, weekly, or monthly based on their investment horizons and objectives.External factors, encompassing economic indicators, market sentiment, and global events, have a substantial impact on SME stock prices.Simultaneously, internal factors such as company performance, earnings reports, and management changes contribute significantly to volatility.A noteworthy consideration in volatility analysis is the use of volatility indices like the VIX, which provides insights into overall market sentiment, reflecting investors' expectations of future volatility.Historical volatility analysis involves delving into past price data to calculate and analyze volatility trends.Identifying patterns and understanding the historical behavior of a stock equips investors with valuable insights.Implied volatility analysis, particularly for SMEs with listed options, involves extracting implied volatility from option prices and comparing it with historical volatility to gauge market expectations.Correlation analysis further enhances 240
Authors
- T. Parthiban
Publication Details
- Journal
- Indo Asian Journal of Management and Entrepreneurship
- Published
- 2024-11-29
- DOI
- https://doi.org/10.64009/iajome.vol.16.issue08.265
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00