VOLQ: How to Measure Nasdaq100 Volatility
By Phil Mackintosh, Chief Economist, Nasdaq
The Nasdaq100 is a very different index than the S&P500. It is technology dominant, excludes financials by design, and is historically underweight in many of the old economy stocks in the energy and industrials sectors.
That exposure to new economy stocks has helped it to outperform the broad market by 347% over the past 10 years ended Q3 2020, while also avoiding the worst of the past two crises. As a consequence, more and more portfolios are tracking the Nasdaq indexes. But historically, hedges and income strategies have been imperfect, thanks to the fact that the most common volatility hedges were on the S&P500 via the Cboe Volatility Index: VIX.
Today we talk about the new Nasdaq100 Volatility Index: VOLQ®, why it’s different, and why it should better describe expectations for future Nasdaq volatility. For a start, it’s based on Nasdaq100 index options, in contrast to CBOE’s VIX indicator, which uses S&P 500 index options.
Volatility 101
First, it is important to understand some different volatility terms and how volatility indicators work. Let’s start with the difference between realized (historic) and implied (expected) volatility:
 Realized volatility is the historic volatility we’ve seen in the market in the past. It’s calculated using the standard deviation of actual returns.
 Implied volatility measures the markets’ expected volatility in the future. They do that using options prices on future expiry dates, as we explain below.
Buying an option is a little bit like buying car insurance. You don’t know if you will use (exercise) it, and it may just expire and be worthless. Intuitively, the price of the insurance (or option) should equal the value of expected claims. When BlackScholes created their options pricing formula to do this, they realized an option would be worth more (more likely to be exercised) if it has specific characteristics, such as:
 Closer to inthemoney: meaning the stock price was already at or near the price where the option would make a payoff.
 Further from expiry: a longer time increases the chance that the underlying stock price will get to an inthemoney price.
 On a more volatile underlying stock: as the potential for a large price move increases, the chance the stock moves to an inthemoney price.
To understand “moneyness,” let’s look at the following example: if you hold a call option contract with a strike price of $100 per share and the underlying stock price is greater than $100, you have the right to purchase the stock at a discount to the current market price (inthemoney, ITM). On the other hand, if the underlying stock is less than $100, your contract is “outofthemoney (OTM)” because your contract gives you the right to buy the stock at a higher price than the current market price.
Chart 1: “Moneyness” depends on the underlying stock price and strike price
Then, the fact that the price of an option includes information about the expected volatility of the underlying stock or index is how volatility indicators are produced.
Thanks to the BlackScholes formula, the expected volatility can be reverse engineered once you have all the other known inputs to the BlackScholes formula. In fact, it’s so easy to do that many options are “quoted” in volatility points, rather than cents, as that allows investors to compare whether the expected volatility for each stock (or index) is the richer or cheaper.
Implied volatility varies across “moneyness”
However, one of the things many investors might not realize is that the expected volatility for any single underlying asset (stock or index) is NOT the same, even for options expiring on the same date.
The reason is a mathematical quirk tied to the fact that BlackScholes assumes returns are lognormal, when in fact, they are not. In real life, the chance of a big price move is higher than the statistical model predicts. That would lead to a more profitable exercise than the model predicts for “tail” events. Rather than “fix” the distribution (which is, of course, different because of specific event risks for each underlying asset), markets instead simply charge more than the pricing model suggests for those options.
In the industry, it’s called skew and can be seen by the Ushape of implied volatilities as you move further from atthemoney.
Chart 2: VIX includes all outofthemoney options, including lots of skew
Chart 2 shows real skew in Nasdaq options prices from September 2020. What is important to note is that as you move away from “atthemoney,” the implied volatility:
 Changes significantly.
 The difference in expected volatility of puts and calls for the same exercise prices starts to vary more too.
 Trading of those contracts is also far lower, which may mean those volatilities are less accurately priced. Chart 3 shows that most Nasdaq options volume is clustered around 11,000, the “atthemoney” price of the Nasdaq100 when the data were pulled.
Chart 3: Most liquidity trades closer to atthemoney and in shortdated contracts
So, the atthemoney contracts are not only the most active (in terms of notional traded), but they also have puts and calls with closest to the same volatility for each strike, unlike skew puts and calls.
Which raises the important question: Which expected volatility is the right expected volatility for indicators to use?
Chart 4: VOLQ focuses on atthemoney (ATM) options contracts, disregarding deep outofthemoney (OTM) options skew
VIX includes skew from less liquid deep outofthemoney options
The bestknown volatility indicator, the VIX, is based on a large portfolio of outofthemoney calls and puts. Basically, it includes the range of option prices that we show in dark purple and green in Chart 4. That avoids the problem with the spread between put and calls at the same strike.
VIX also creates an “effective 30day forward” volatility by computing a prorata volatility from some expiries shorter than 30 days and others that are longer than 30 days. That avoids most of the term structure problem, where longer volatility is usually higher.
But it does include a lot of skew. It also includes prices from less liquid options contracts.
VOLQ is a new index that eliminates skew on less liquid OTM options
Nasdaq created a new index (VOLQ) based on Nasdaq100 index options. Importantly, it has a different design that fix for both the skew and less liquid deep outofthemoney (OTM) pricing problems. It answers the question traders ask throughout every trading day, “Where is atthemoney volatility?”
VOLQ still creates an “effective 30day forward” volatility by computing a prorata volatility from some expiries shorter than 30 days and others that are longer than 30 days. To do this, VOLQ uses four consecutive weekly contracts (i.e., four “terms”) with Friday expirations that range anywhere from 16 days to 43 days from the current date to extrapolate implied volatility for 30 days.
But, it adds a concept of “preciselyatthemoney” options by first creating a forward index price that represents the expected Nasdaq100 future index price based on marketdetermined put/call parity. Second, VOLQ chooses puts and calls from two 25point strikes above and below the forward price, thereby eliminating the skew problem and excluding less liquid OTM options from the calculation.
This means that VOLQ also includes put and call prices that are both ITM and OTM, but only those that are closest to ATM. Overall, VOLQ utilizes 32 distinct contracts to come up with an estimate of annualized implied volatility.
It then prorata weights those contracts so that the implied volatility represents a strike price exactly equal to the spot index with 30 days until expiry.
If you’re interested, full details on the math are here. But the way it works is shown visually in Chart 5:
 Puts and calls from two 25point strikes each side of the forward Nasdaq100 index price are used (blue dots), excluding the rest of the volatility “surface.”
 Weekly expiries from two weeks each side of 30 days are used (blue lines).
 The contracts closer to the precisely at the money virtual option (purple dot) are more heavily weighted too.
Chart 5: How VOLQ gets a “precisely atthemoney” implied volatility
VOLQ is the superior way to measure volatility on the Nasdaq100
All these changes make VOLQ a better volatility indicator for the market.
Table 1: Comparing VOLQ to VIX
Volatility from options on 
Options trade on  Future on  Excludes Skew  Liquid contracts  Puts and Calls 
30 day forward volatility 

VOLQ  Nasdaq100 Index 
PHLX, ISE, GEMX 
CME  YES  YES  YES (all near ATM)  YES 
VIX  S&P500 Index  Cboe  Cboe Futures Exchange  NO(OTM contracts)  NO  YES*(ATM & 1side OTM)  YES 
It’s also a much better hedge for investors owning a portfolio of Nasdaq stocks.
VOLQ: How to Measure Nasdaq100 Volatility was originally published by Nasdaq.