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CBOE Volatility Index (VIX) Definition
What Is the CBOE Volatility Index (VIX)?
Created by the Chicago Board Options Exchange (CBOE), the Volatility Index, or VIX, is a realtime market index that represents the market’s expectation of 30day forwardlooking volatility. Derived from the price inputs of the S&P 500 index options, it provides a measure of market risk and investors’ sentiments. It is also known by other names like “Fear Gauge” or “Fear Index.” Investors, research analysts and portfolio managers look to VIX values as a way to measure market risk, fear and stress before they take investment decisions.
Key Takeaways
 The CBOE Volatility Index, or VIX, is a realtime market index representing the market’s expectations for volatility over the coming 30 days.
 Investors use the VIX to measure the level of risk, fear, or stress in the market when making investment decisions.
 Traders can also trade the VIX using a variety of options and exchangetraded products, or use VIX values to price derivatives.
How Does the VIX Work?
For financial instruments like stocks, volatility is a statistical measure of the degree of variation in their trading price observed over a period of time. On 27 September 2020, shares of Texas Instruments Inc. (TXN) and Eli Lilly & Co. (LLY) closed around similar price levels of $107.29 and $106.89 per share, respectively. However, a look at their price movements over the past one month (September) indicates that TXN (Blue Graph) had much wider price swings compared to that of LLY (Orange Graph). TXN had higher volatility compared to LLY over the onemonth period.
Extending the observation period to last three months (July to September) reverses the trend: LLY had much wider range for price swings compared to that of TXN, which is completely different from the earlier observation made over one month. LLY had higher volatility than TXN during the three month period.
Volatility attempts to measure such magnitude of price movements that a financial instrument experiences over a certain period of time. The more dramatic the price swings are in that instrument, the higher the level of volatility, and vice versa.
How Volatility is Measured
Volatility can be measured using two different methods. First is based on performing statistical calculations on the historical prices over a specific time period. This process involves computing various statistical numbers, like mean (average), variance and finally the standard deviation on the historical price data sets. The resulting value of standard deviation is a measure of risk or volatility. In spreadsheet programs like MS Excel, it can be directly computed using the STDEVP() function applied on the range of stock prices. However, standard deviation method is based on lots of assumptions and may not be an accurate measure of volatility. Since it is based on past prices, the resulting figure is called “realized volatility” or “historical volatility (HV).” To predict future volatility for the next X months, a commonly followed approach is to calculate it for the past recent X months and expect that the same pattern will follow.
The second method to measure volatility involves inferring its value as implied by option prices. Options are derivative instruments whose price depends upon the probability of a particular stock’s current price moving enough to reach a particular level (called the strike price or exercise price). For example, say IBM stock is currently trading at a price of $151 per share. There is a call option on IBM with a strike price of $160 and has one month to expiry. The price of such a call option will depend upon the market perceived probability of IBM stock price moving from current level of $151 to above the strike price of $160 within the one month remaining to expiry. Since the possibility of such price moves happening within the given time frame are represented by the volatility factor, various option pricing methods (like Black Scholes model) include volatility as an integral input parameter. Since option prices are available in the open market, they can be used to derive the volatility of the underlying security (IBM stock in this case). Such volatility, as implied by or inferred from market prices, is called forward looking “implied volatility (IV).”
Though none of the methods is perfect as both have their own pros and cons as well as varying underlying assumptions, they both give similar results for volatility calculation that lie in a close range.
Extending Volatility to Market Level
In the world of investments, volatility is an indicator of how big (or small) moves a stock price, a sectorspecific index, or a marketlevel index makes, and it represents how much risk is associated with the particular security, sector or market. The above stockspecific example of TXN and LLY can be extended to sectorlevel or marketlevel. If the same observation is applied on the price moves of a sectorspecific index, say the NASDAQ Bank Index (BANK) which comprises of more than 300 banking and financial services stocks, one can assess the realized volatility of the overall banking sector. Extending it to the price observations of the broader market level index, like the S&P 500 index, will offer a peek into volatility of the larger market. Similar results can be achieved by deducing the implied volatility from the option prices of the corresponding index.

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Having a standard quantitative measure for volatility makes it easy to compare the possible price moves and the risk associated with different securities, sectors and markets.
The VIX Index is the first benchmark index introduced by the CBOE to measure the market’s expectation of future volatility. Being a forward looking index, it is constructed using the implied volatilities on S&P 500 index options (SPX) and represents the market’s expectation of 30day future volatility of the S&P 500 index which is considered the leading indicator of the broad U.S. stock market. Introduced in 1993, the VIX Index is now an established and globally recognized gauge of U.S. equity market volatility. It is calculated in realtime based on the live prices of S&P 500 index. Calculations are performed and values are relayed during 2:15 a.m. CT and 8:15 a.m. CT, and between 8:30 a.m. CT and 3:15 p.m. CT. CBOE began dissemination of the VIX Index outside of U.S. trading hours in April 2020.
Calculation of VIX Index Values
VIX index values are calculated using the CBOEtraded standard SPX options (that expire on the third Friday of each month) and using the weekly SPX options (that expire on all other Fridays). Only those SPX options are considered whose expiry period lies within 23 days and 37 days.
While the formula is mathematically complex, theoretically it works as follows. It estimates the expected volatility of the S&P 500 index by aggregating the weighted prices of multiple SPX puts and calls over a wide range of strike prices. All such qualifying options should have valid nonzero bid and ask prices that represent the market perception of which options’ strike prices will be hit by the underlying during the remaining time to expiry. For detailed calculations with example, one can refer to the section “VIX Index Calculation: StepbyStep” of the VIX whitepaper.
Evolution of VIX
During its origin in 1993, VIX was calculated as a weighted measure of the implied volatility of eight S&P 100 atthemoney put and call options, when the derivatives market had limited activity and was in growing stages. As the derivatives markets matured, ten years later in 2003, CBOE teamed up with Goldman Sachs and updated the methodology to calculate VIX differently. It then started using a wider set of options based on the broader S&P 500 index, an expansion which allows for a more accurate view of investors’ expectations on future market volatility. The then adopted methodology continues to remain in effect, and is also used for calculating various other variants of volatility index.
Real World Example of the VIX
Volatility value, investors’ fear and the VIX index values move up when the market is falling. The reverse is true when market advances – the index values, fear and volatility decline.
A real world comparative study of the past records since 1990 reveals several instances when the overall market, represented by S&P 500 index (Orange Graph) spiked leading to the VIX values (Blue Graph) going down around the same time, and vice versa.
One should also note that VIX movement is much more than that observed in the index. For example, when S&P 500 declined around 15% between August 1, 2008 and October 1, 2008, the corresponding rise in VIX was nearly 260%.
In absolute terms, VIX values greater than 30 are generally linked to a large volatility resulting from increased uncertainty, risk and investors’ fear. VIX values below 20 generally correspond to stable, stressfree periods in the markets.
How to Trade the VIX
VIX index has paved the way for using volatility as a tradable asset, although through derivative products. CBOE launched the first VIXbased exchangetraded futures contract in March 2004, which was followed by the launch of VIX options in February 2006. Such VIXlinked instruments allow pure volatility exposure and have created a new asset class altogether. Active traders, large institutional investors and hedge fund managers use the VIXlinked securities for portfolio diversification, as historical data demonstrates a strong negative correlation of volatility to the stock market returns – that is, when stock returns go down, volatility rises and vice versa.
Other than the standard VIX index, CBOE also offers several other variants for measuring broad market volatility. Other similar indexes include the Cboe ShortTerm Volatility Index (VXSTSM) – which reflects 9day expected volatility of the S&P 500 Index, the Cboe S&P 500 3Month Volatility Index (VXVSM) and the Cboe S&P 500 6Month Volatility Index (VXMTSM). Products based on other market indexes include the Nasdaq100 Volatility Index (VXNSM), Cboe DJIA Volatility Index (VXDSM) and the Cboe Russell 2000 Volatility Index (RVXSM). Options and futures based on RVXSM are available for trading on CBOE and CFE platforms, respectively.
Like all indexes, one cannot buy the VIX directly. Instead investors can take position in VIX through futures or options contracts, or through VIXbased exchangetraded products (ETP). For example, ProShares VIX ShortTerm Futures ETF (VIXY), iPath Series B S&P 500 VIX Short Term Futures ETN (VXXB) and VelocityShares Daily Long VIX ShortTerm ETN (VIIX) are many such offerings which track certain VIXvariant index and take positions in linked futures contracts.
Active traders who employ their own trading strategies as well as advanced algorithms use VIX values to price the derivatives which are based on high beta stocks. Beta represents how much a particular stock price can move with respect to the move in broader market index. For instance, a stock having a beta of +1.5 indicates that it is theoretically 50% more volatile than the market. Traders making bets through options of such high beta stocks utilize the VIX volatility values in appropriate proportion to correctly price their option trades.
Tracking Volatility
When market volatility spikes or stalls, financial websites, bloggers, social media, newspapers and television commentators all refer to the VIX ® . Formally known as the CBOE Volatility Index, the VIX is a benchmark index designed specifically to track S&P 500 volatility. Most investors familiar with the VIX commonly refer to it as the “fear gauge,” because it has become a proxy for market volatility.
Key Takeaways
 The VIX is a benchmark index designed specifically to track S&P 500 volatility.
 The VIX is calculated using a formula to derive expected volatility by averaging the weighted prices of outofthemoney puts and calls.
 Volatility is useful to investors, as it gives them a way to gauge the market environment; it also provides investment opportunities.
The VIX was created by the Chicago Board Options Exchange (CBOE), which bills itself as “the largest U.S. options exchange and creator of listed options.” The CBOE runs a forprofit business selling (among other things) investments to sophisticated investors. These include hedge funds, professional money managers and individuals that make investments seeking to profit from market volatility. To facilitate and encourage these investments, the CBOE developed the VIX, which tracks market volatility on a realtime basis.
While the math behind the calculation and the accompanying explanation takes up most of a 15page white paper published by the CBOE, we’ll provide the highlights in an overview. Here’s a look at the calculations behind the VIX, courtesy of examples and information provided by the CBOE.
Volatility
A Look at the VIX for the Mildly Curious
The CBOE provides the following formula as a general example of how the VIX is calculated:
The calculations behind each part of the equation are rather complex for most people who don’t do math for a living. They are also far too complex to fully explain in a short article, so let’s put some numbers into the formula to make the math easier to follow:
Delving into the Details of the Volatility Index
The VIX is calculated using a “formula to derive expected volatility by averaging the weighted prices of outofthemoney puts and calls.” Using options that expire in 16 and 44 days, respectively, in the example below, and starting on the far left of the formula, the symbol on the left of “=” represents the number that results from the calculation of the square root of the sum of all the numbers that sit to the right multiplied by 100.
To get to that number:
 The first set of numbers to the right of the “=” represents time. This figure is determined by using the time to expiration in minutes of the nearest term option divided by 525,600, which represents the number of minutes in a 365day year. Assuming the VIX calculation time is 8:30 a.m., the time to expiration in minutes for the 16day option will be the number of minutes within 8:30 a.m. today and 8:30 a.m. on the settlement day. In other words, the time to expiration excludes midnight to 8:30 a.m. today and excludes 8:30 a.m. to midnight on the settlement day (full 24 hours excluded). The number of days we’ll be working with will technically be 15 (16 days minus 24 hours), so it’s 15 days x 24 hours x 60 minutes = 21,600. Use the same method to get the time to expiration in minutes for the 44day option to get 43 days x 24 hours x 60 minutes = 61,920 (Step 4).
 The result is multiplied by the volatility of the option, represented in the example by 0.066472.
 The result is then multiplied by the result of the difference between the number of minutes to expiration of the next term option (61,920) minus the number of minutes in 30 days (43,200). This result is divided by the difference of the number of minutes to expiration of the next term option (61,920) minus the number of minutes to expiration of the near term option (21,600). Just in case you’re wondering where 30 days came from, the VIX uses a weighted average of options with a constant maturity of 30 days to expiration.
 The result is added to the sum of the time calculation for the second option, which is 61,920 divided by the number of minutes in a 365day year (526,600). Just as in the first calculation, the result is multiplied by the volatility of the option, represented in the example by 0.063667.
 Next we repeat the process covered in step 3, multiplying the result of step 4 by the difference of the number of minutes in 30 days (43,200), minus the number of minutes to expiration of the nearterm options (21,600). We divide this result by the difference of the number of minutes to expiration of the nextterm option (61,920) minus the number of minutes to expiration of the nearterm options (21,600).
 The sum of all previous calculations is then multiplied by the result of the number of minutes in a 365day year (526,600) divided by the number of minutes in 30 days (43,200).
 The square root of that number multiplied by 100 equals the VIX.
Clearly, the order of operations is critical in the calculation and, for most of us, calculating the VIX isn’t the way we would choose to spend a Saturday afternoon. And if we did, the exercise would certainly take up most of the day. Fortunately, you will never have to calculate the VIX because the CBOE does it for you. Thanks to the Internet, you can go online, type in the ticker VIX and get the number delivered to your screen in an instant.
Investing in Volatility
Volatility is useful to investors, as it gives them a way to gauge the market environment. It also provides investment opportunities. Since volatility is often associated with negative stock market performance, volatility investments can be used to hedge risk. Of course, volatility can also mark rapidly rising markets. Whether the direction is up or down, volatility investments can also be used to speculate.
As one might expect, investment vehicles used for this purpose can be rather complex. VIX options and futures provide popular vehicles through which sophisticated traders can place their hedges or implement their hunches. Professional investors use these on a routine basis.
Exchangetraded notes – a type of unsecured, unsubordinated debt security – can also be used. ETNs that track volatility include the iPath S&P 500 VIX ShortTerm Futures (VXX) and the VelocityShares Daily Inverse VIX ShortTerm (XIV).
Exchangetraded funds offer a somewhat more familiar vehicle for many investors. Volatility ETF options include the ProShares Ultra VIX ShortTerm Futures (UVXY) and ProShares VIX MidTerm Futures (VIXM).
There are pros and cons to each of these investment vehicles that should be thoroughly evaluated before making investment decisions.
The Bottom Line
Regardless of purpose (hedging or speculation) or the specific investment vehicles chosen, investing in volatility is not something to jump into without taking some time to understand the market, the investment vehicles and the range of possible outcomes. Failing to do the proper preparation and taking a prudent approach to investing can have a more detrimental result on your personal bottom line than making a mathematical error in your VIX calculation.
What is the Volatility Index (VIX)
Usually, when thinking about indices, the first thing that often comes to mind is the DAX, Dow Jones or NASDAQ 100. However, the Volatility Index is quite different.
Volatility defined
The term ‘volatility’ can be explained as a statistical measure that indicates the pricing behaviour of the security or market index and helps to estimate the fluctuations that may occur in a short period of time. In simpler terms: volatility measures how moody the market is or will be in the near future.
What is VIX?
The Volatility Index, which is known by its ticker symbol VIX, was developed at the request of the Chicago Board Options Exchange (CBOE).
In 1992, the CBOE asked Robert Whaley, a professor of management and director of the Financial Markets Research Center at Vanderbilt University, to create a formula that would calculate implied stock market volatility based on prices from the S&P Index options.
A year later, Whaley computed daily VIX levels dating back to January 1986, based on his algorithms and the CBOE’s historical record of index option prices.
The VIX is a popular realtime market index, quoted in percentage points, which represents the stock market’s expectation of 30day forwardlooking volatility implied by S&P 500 Index options. Easier explained, the VIX is all about “implied” volatility: it measures how much traders and investors are ready to pay to sell or buy the S&P 500. The index is a registered trademark of CBOE.
The VIX serves as a contrarian mood indicator, helping to determine whether there is too much fear or confidence in the market. Typically, at the point when the sentiment reaches one extreme or the other, the market is inclined to reverse.
Historic oil price drop
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In times of political uncertainty and economic crises, the VIX tends to surge. This fact has given the CBOE Volatility Index its bynames like the “fear gauge” or the “fear index”, as it is viewed by many as a market anxiety and fears measurement.
Investors and traders, as well as portfolio managers and research analysts, suggest taking into consideration VIX values to determine market risk, fear and stress when taking investment decisions.
Despite the fact that the VIX might or might not be a thorough protection from risk, traders still prefer to check this indicator from time to time to measure the direction of the attitudes towards the market and the possible path of shortterm trading. As a financial indicator in its own right, the CBOE Volatility Index can be used as a means towards gains or the protection of portfolios.
How does the VIX work?
Traders and investors tend to buy options in order to protect themselves from the downside risk when anticipating a possible market fall. As they purchase these, the implied volatility rises, and that, in turn, raises the value of the VIX – and vice versa.
Traders who are looking for ways to incorporate the VIX into their portfolios have a number of alternatives to choose from. For example:

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