There’s volatility in the market, more so now than usual as the major indices go through a multi-month downturn to begin the summer. The properly prepared investor can trade and profit from that volatility. All options trading investors should know these four basics before they place another trade. Some of these facts are straight forward but as with all things options the facts can soon turn complicated.
1) All Option Trades Have a Volatility Component
Every option trade involves volatility exposure in one way or another. While it’s intuitive for most traders that each trade usually involves a bullish or bearish directional stance, many overlook the fact that they are taking on a bullish or bearish volatility position too. Therefore, trading volatility is like trading the market itself – for maximum profits the trader strives to buy volatility cheaply and sell it when it’s expensive. But this is easier said than done. To understand all that goes into analyzing volatility, let’s first review the two types of volatility.
2) Historical Volatility
Historical volatility (often designated as HV, and also called realized volatility or statistical volatility) is the actual volatility occurring in the underlying security, measured in terms of the magnitude of recent price movement. Specifically, HV is the annualized standard deviation of an asset. This figure is stated as a percentage of the asset price. Even to non-option traders, HV is a helpful guide to compare the volatility of a stock with another stock or with itself over time. To state the obvious — the higher the number, the higher the volatility. So a stock with a 40% HV is more volatile than one with a 20% HV, and a stock with a current HV of 50% is more volatile than it was if its HV was 30% at some time in the past.
3) Implied Volatility
While HV looks back at actual asset prices, implied volatility (or “IV”) looks forward. IV is generally interpreted as the market’s consensus expectation for the future volatility of an asset. This figure is also stated in percentage terms and can be derived from the price of an option. Specifically, it is the expected future volatility of the underlying implied by the price of its options. For example, a stock with a 20% IV is expected (by the market as a whole) to experience less volatility than a stock with a 40% IV. The IV of an asset can also be compared with itself over time. For example, if a stock currently has an IV of 50% versus 30% in the past, the market now expects the stock to be more volatile than it previously did.
4) Analyze Volatility Charts
The common application of volatility data is studied by use of a volatility chart. A volatility chart tracks the volatility “level” over time for both HV and IV. It is a helpful visual aide because it makes it easy to compare HV with IV both currently and over time. Though these are helpful aides, they are often misinterpreted by novice traders with unfortunate consequences.
Volatility charts are one area where knowing just enough to be dangerous can be, well, dangerous. One solid place for learning about options volatility and analyzing charts is IVolatility.com. This site targets sophisticated traders so those getting started in options may be a little overwhelmed. But you can register for free and generate your own volatility charts.
Please click through to page 2 of “4 Must Knows About Options Volatility.”
“4 Must Knows About Options Volatility” continued.
In addition, the Chicago Board Options Exchange (NASDAQ: CBOE) offers a great deal of educational material on volatility such as the Volatility Finder in its Trading Tools section. This is designed to find stocks with “volatility characteristics that indicate a price move is in the works, or to identify securities whose options are under-or over-valued in relation to their near-and longer-term price history.”
To review, those are the four basics every options trader must know. Now, to profit from volatility traders must perform three separate analyses.
A) First, compare current IV with current HV. This gives an indication of how the market is pricing volatility into option prices in comparison with recent stock volatility. If the two are significantly different, an opportunity may exist to buy or sell volatility at a favorable level. Generally, if IV is above HV this is the first indication that option prices may be high. Likewise, if IV is below HV, this may mean option prices are cheap.
B) But to be sure, traders must also compare current IV with past IV. This helps a trader understand whether IV is comparatively high or low in relative terms. If implied volatility is higher than normal it may be expensive, warranting a sale; if it is lower than normal it may be a cheap buy.
C) Finally, traders need to complete their analysis by also comparing current HV with past HV. HV on the volatility chart can give an indication as to whether recent stock volatility has been greater or lower than normal. If current HV is higher than it was on average in the past, the stock is showing that it is more volatile than normal.
If the price at which an option can be traded (in terms of IV) doesn’t support the higher stock volatility, the trader must trade accordingly. That is, if IV is very low, as HV is higher than normal, it may be a buy signal.
Conversely, if HV has fallen below normal levels, traders need to observe IV to see if an opportunity to sell volatility exists. If IV is high in this HV setup, it could be a volatility sell signal.
Certainly volatility analysis is both an art and a science. This article has shown the basics for analyzing volatility. But there are a seemingly infinite series of permutations of how implied volatility and historical volatility can interact. Each volatility scenario is unique. Having a deep understanding of volatility combined with experience from putting that knowledge into practice can help traders use volatility to their advantage, and make smarter trades.
Dan Passarelli is the author of the book Trading Option Greeks and the founder of Market Taker Mentoring LLC, the leading source options education. Dan can be reached at email@example.com and can be followed on twitter at twitter.com/Dan_Passarelli.