If you are interested in trading stock options, then one of the best strategies you can learn is how to trade option volatility. There are a few reasons for this, which this article will discuss.
1. Don’t Need to Trade Option Direction
The vast majority of option traders seek to make money by predicting the direction of the underlying stock. If they believe that the stock will rise in price, then they will buy call options; if they think the stock will drop in price, then they will buy put options. The unfortunate truth of this is that 70% of all options expire out of the money, which means that these are losing trade 70% of the time.
One factor that makes directional trading so unprofitable is that it simply is very difficult to accurately pick the direction that a stock will move over a short time frame. The odds are even more stacked against you if you buy stock options that are out of the money. In this case, you don’t only need to be accurate about the direction of the stock, but you need to be accurate about the magnitude of the stock movement. While you very well may have been correct about both of these things on a long-term basis, options are peculiar because they have an expiration date. You must also be correct about the time frame that these price movements will occur, which is almost impossible to predict.
2. Trade Option Volatility
The reason that you might consider trading option volatility is that it is easier to predict the direction of the volatility. While a stock has the unlimited potential for upward movement, the volatility of a stock almost always trades in a defined range. If the volatility skyrockets, then you can be assured that the volatility will soon return to normal levels. Similarly, if the volatility reaches extremely low levels, it’s a good bet that it will eventually be pulled back towards the average.
There are many different strategies do take advantage of if you’d like to trade option volatility. Remember that short term option trading is speculation. Most of your investment portfolio should be concentrated in assets that grow over time.
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.
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.
A measure of risk based on the standard deviation of the asset return. Volatility is a variable that appears in option pricing formulas, where it denotes the volatility of the underlying asset return from now to the expiration of the option. There are volatility indexes, such as the CBOE Volatility Index, VIX.
Volatility affects the value of options by increasing or decreasing their prices. Higher volatility generally leads to higher option prices, as there is a greater chance of the option reaching a profitable level. Conversely, lower volatility tends to decrease option prices, as there is less uncertainty and risk involved.
Sheldon Natenberg has written: 'Option Volatility Trading Strategies, New and Updated Edition' 'Option Volatility and Pricing Workbook'
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 affects the pricing of options by increasing their value when volatility is high and decreasing it when volatility is low. Higher volatility leads to higher option prices due to the increased likelihood of large price swings. This can impact profitability for option buyers and sellers, as they may experience larger gains or losses depending on market conditions.
Stock option volatility is the amount of movement a stock is anticipated to make in a specific time frame. This information is important to investors to enable them to predict if they will make money or not.
Concerns about trade have added to the volatility in the stock market.
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
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.
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.