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

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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
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article

VOLATILITY ANALYSIS OF SELECTED SME IN NSE

T. Parthiban
Indo Asian Journal of Management and Entrepreneurship
Stochastic processes and financial applications
article

VOLATILITY ANALYSIS OF SELECTED SME IN NSE

T. Parthiban
article en

Abstract

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

Indo Asian Journal of Management and EntrepreneurshipVol. 16(6)
Openalex Percentile: Top 60%
Stochastic processes and financial applications
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