The implied volatility is the volatility that gives the current option price (given the risk free rate, dividend, time to maturity and strike price).
The related link contains a spreadsheet to help you calculate implied volatility in VBA
A component of the option price is the implied volatility of the stock. When the implied volatility rises the price of the option rises slightly. Read more about VEGA & DELTA of an option.
You can find the implied volatility of a specific stock by looking at options prices on a financial website or platform, or by using an options pricing model like the Black-Scholes model. Implied volatility is a measure of how much the market expects a stock's price to fluctuate in the future.
Implied volatility is the expected volatility of the underlying stock. The higher the implied volatility, the more the underlying stock is expected to move and thus the more expensive an option becomes due to increased extrinsic value.
Volatility skew refers to the pattern where options with different strike prices or expiration dates show different levels of implied volatility. In simpler terms, implied volatility is a measure of the expected price fluctuations of an asset, and traders use it to determine the price of options. Ideally, novice traders can assume options with the same underlying asset to have the same implied volatility, however, that is not always the case. Volatility skew happens when options with different strike prices (the price at which the option can be exercised) have different implied volatilities. This occurs due to market perceptions of risk, demand for particular options, or past market events, leading traders to price them differently. Traders might notice volatility skew in equity and index options like Nifty and Bank Nifty.
Diversification, setting stop-loss orders, and staying informed about market trends are effective strategies to navigate the volatility of stocks that fluctuate frequently.
To calculate implied volatility using Solver, you need an options pricing model (such as Black-Scholes) and market data (including the option price, strike price, underlying asset price, risk-free rate, time to expiration, and any dividends). Build the pricing model in a spreadsheet, input the market data, and set the initial volatility value in Solver. Set the objective to match the calculated option price with the market price by changing the volatility cell. Run Solver to find the implied volatility that minimizes the difference between the calculated and market option prices.
Option Vega is the change in the value of an option for a 1-percentage point increase in implied volatility, i.e. the first derivative of the option price with respect to volatility.
One of the best places you can go online for information on tracking implied volatility information for stock options is through http://whatstrading.com. They have information on what you are looking for as well as trading premiums, on demand analytics, and various case studies on the trade.
Stocks can lose their value quickly due to adverse market conditions. There is also a possibility that the company will go bankrupt. Market shocks can cause volatility in any single stock or group of stocks.
Mthuli Ncube has written: 'Modelling implied volatility with OLS and panel data models'
When he anticipate high volatility as it may lead to squaring of his stocks or positions due to decrease in minimal margin to support the position.
The volatility smile is a long-observed pattern in which at-the-money options tend to have lower implied volatilities than other options. The pattern displays different characteristics for different markets and results from the probability of extreme moves