{"id":43212,"date":"2020-04-27T11:25:00","date_gmt":"2020-04-27T15:25:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=43212"},"modified":"2023-04-05T12:24:27","modified_gmt":"2023-04-05T16:24:27","slug":"understand-the-rule-of-16","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/traders-insight\/securities\/options\/understand-the-rule-of-16\/","title":{"rendered":"Understand the \u201cRule of 16\u201d"},"content":{"rendered":"\n<p>Professional options traders are really good at dividing and multiplying by 16.&nbsp; That seems like a weird skill, but it is a crucially important one for anyone who wants to fully understand the terminology used in options markets.&nbsp; No matter how you utilize options, the \u201cRule of 16\u201d is critical for analyzing volatility, particularly for short-term options.<\/p>\n\n\n\n<p>Whether you utilize options to trade, hedge or invest, you should be familiar with common volatility measures. Volatility is at the root of all options pricing. It is based on the statistical concept of&nbsp;<strong>standard deviation<\/strong>, which measures the dispersion of a security\u2019s returns around its average.&nbsp; Stocks move up and down during each trading day, and one with larger up and down daily price moves would have a higher standard deviation. The dispersion of daily price movements, measured in percentage terms over a period of time, is the basis of the concept of volatility.<\/p>\n\n\n\n<p><strong>Implied volatility<\/strong>&nbsp;is a commonly discussed and observed statistic, with many vendors and brokerage platforms (such as Interactive Brokers\u2019) displaying it alongside options prices.&nbsp; There are two features of implied volatility that tend to be poorly understood.&nbsp; First, it is a derived number \u2013 it is the last variable remaining in an options pricing model after accounting for the stock\u2019s price, the option\u2019s striking price and time to expiration, the stock\u2019s expected dividends before expiration, and prevailing interest rates over the life of the option.&nbsp; Second, it is typically expressed in annualized terms.&nbsp; This where the Rule of 16 comes into play.<\/p>\n\n\n\n<p>Table 1: Pricing Data for XIU 20 strike puts, expiring May 15th, 2020 from the&nbsp;<a href=\"https:\/\/www.tmx.com\/\">MX End of Day Report<\/a>&nbsp;for April 14, 2020<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"760\" height=\"154\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/rule_16_table_en-760x154-1.jpg\" alt=\"Pricing Data for XIU 20 strike puts, expiring May 15th, 2020 from the  MX End of Day Report for April 14, 2020\" class=\"wp-image-43214 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/rule_16_table_en-760x154-1.jpg 760w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/rule_16_table_en-760x154-1-700x142.jpg 700w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/rule_16_table_en-760x154-1-300x61.jpg 300w\" data-sizes=\"(max-width: 760px) 100vw, 760px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 760px; aspect-ratio: 760\/154;\" \/><\/figure>\n\n\n\n<p><em>Source: MX<\/em><\/p>\n\n\n\n<p>In the example above, the specific option is the 20 strike put on XIU expiring on May 15, 2020.&nbsp; Using the data in the table, with a closing price for XIU of $21.83, the 31 days to expiry and the midpoint of the strike\u2019s bid\/ask spread , which was $0.405 ((.36+.45)\/2), the implied volatility was calculated to be 43.85%&nbsp; By that measure, the market is anticipating that XIU will have annualized movement over the next 31 days of about 44%.&nbsp; Unfortunately, an annualized measure is essentially meaningless to holders of an option that expires in about a month.&nbsp; The Rule of 16 is what allows us to place that implied volatility reading of 43.85% into a meaningful context.<\/p>\n\n\n\n<p>There is a simple method for converting annualized volatility into daily volatility \u2013 divide the annualized number by the square root of business days in a year, which is normally just under 256.&nbsp; Coincidentally, that square root of 256 is 16, hence the rule.&nbsp; Using the example above:<\/p>\n\n\n\n<p>43.85% \/ 16 = 2.74%<\/p>\n\n\n\n<p>This means that the options market is anticipating that XIU will have an average daily up or down price movement of about 2.74% per day over the life of the option.&nbsp;&nbsp; With XIU trading at $21.83, that is roughly $0.60.&nbsp; It is far easier to visualize XIU moving up or down an average of 60 cents a day over the coming few weeks.&nbsp; Those who think that the market is understating the daily price movement should consider buying options at that current volatility level.&nbsp; Those with the opposite viewpoint should avoid buying those options and even consider selling them.<\/p>\n\n\n\n<p>The Rule of 16 is especially useful just before companies release their earnings.&nbsp;&nbsp; Here is another line from the same&nbsp;MX End of Day Report:<\/p>\n\n\n\n<p>Table 2: Pricing Data for TECK 12 strike calls, expiring April 24th, 2020 from the&nbsp;<a href=\"https:\/\/www.m-x.ca\/nego_sommaire_options_en.php\">MX End of Day Report<\/a>&nbsp;for April 14, 2020<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"804\" height=\"234\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/image-78.png\" alt=\"Pricing Data for TECK 12 strike calls, expiring April 24th, 2020 from the  MX End of Day Report for April 14, 2020\" class=\"wp-image-43217 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/image-78.png 804w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/image-78-700x204.png 700w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/image-78-300x87.png 300w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/04\/image-78-768x224.png 768w\" data-sizes=\"(max-width: 804px) 100vw, 804px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 804px; aspect-ratio: 804\/234;\" \/><\/figure>\n\n\n\n<p>The option displayed above is the 12 strike call on TECK.B expiring on April 24th, 2020.&nbsp; Teck Resources is scheduled to report earnings on April 23<sup>rd<\/sup>, just a day before that option expires.&nbsp; Using the methodology above, we can convert that 67.67% annualized volatility into a 4.23% daily volatility, or average daily movement of about $0.52.&nbsp; Since stocks often display greater volatility in the trading session after they release their earnings, it can be much easier for traders to visualize whether the market\u2019s anticipated movement for Teck\u2019s stock price seems adequate.<\/p>\n\n\n\n<p>At this point you may be wondering why markets persist in expressing implied volatility in annualized terms, even though it is far less useful.&nbsp; Quite frankly it is an archaic market custom.&nbsp; The Black-Scholes model, which was the first widely adopted pricing mechanism for options, utilizes annualized volatility.&nbsp; In fact, it explicitly takes daily price moves and converts them into an annualized value.&nbsp; Prior to the emergence of Black-Scholes, options were a poorly understood corner of the investing universe, not the core component that they are now.&nbsp; Because that model was established using an annualized volatility measure, so did the options markets that sprung up in its wake.&nbsp; And that practice persists to this day throughout the industry.<\/p>\n\n\n\n<p>It is my sincere hope that this article demystifies volatility terminology for many of you and gives you a better sense of how to better interpret an arcane number into real-world scenarios.&nbsp; With another quarterly earnings season approaching \u2013 one that is likely to bring added uncertainty \u2013 an understanding of the Rule of 16 should give you a stronger skill set for determining the options market\u2019s outlook for post-earnings price moves.<\/p>\n\n\n\n<p>&#8212;<\/p>\n\n\n\n<p>Originally Posted on April 23, 2020 &#8211; <a href=\"https:\/\/www.optionmatters.ca\/understand-the-rule-of-16\/\">Understand the \u201cRule of 16\u201d<\/a><\/p>\n\n\n\n<p><strong>Dollars expressed are in CAD<\/strong><\/p>\n\n\n\n<p><em>The author is a senior officer of an affiliate of Interactive Brokers Canada Inc. (IBC), an approved participant of the Bourse de Montr\u00e9al Inc. (MX) and a clearing member of the Canadian Derivatives Clearing Corporation (CDCC).&nbsp;<strong>Nothing in this article should be considered an investment or trading recommendation by IBC or any of its affiliates<\/strong>. Trading in options, is highly speculative in nature and involves a high degree of risk. Before trading options listed on the MX and issued by the CDCC, one should read and fully understand the current CDCC disclosure document entitled \u201cThe Characteristics and Risks of Listed Canadian Options\u201d.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Professional options traders are really good at dividing and multiplying by 16.  That seems like a weird skill, but it is a crucially important one for anyone who wants to fully understand the terminology used in options markets.  No matter how you utilize options, the \u201cRule of 16\u201d is critical for analyzing volatility, particularly for short-term options.<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[14700,6,19,8,9,26,3],"tags":[456,207,262,7349,7348,7254],"contributors-categories":[13617],"class_list":{"0":"post-43212","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-ibkr-market-insights","7":"category-north-america","8":"category-options","9":"category-region","10":"category-securities","11":"category-text-articles","12":"category-traders-insight","13":"tag-cad","14":"tag-spx","15":"tag-spy","16":"tag-teck","17":"tag-tsx","18":"tag-xiu","19":"contributors-categories-montreal-exchange-option-matters"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Understand the \u201cRule of 16\u201d | Traders&#039; Insight<\/title>\n<meta name=\"description\" content=\"Professional options traders are really good at dividing and multiplying by 16. 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