{"id":671,"date":"2016-04-26T20:34:38","date_gmt":"2016-04-26T20:34:38","guid":{"rendered":"http:\/\/quantpedia.com\/?p=671"},"modified":"2025-06-04T14:09:22","modified_gmt":"2025-06-04T12:09:22","slug":"a-new-analysis-of-commodity-momentum-strategy","status":"publish","type":"post","link":"https:\/\/vvv.quantpedia.com\/es\/a-new-analysis-of-commodity-momentum-strategy\/","title":{"rendered":"A New Analysis of Commodity Momentum Strategy"},"content":{"rendered":"<p>\n\t<strong>A related paper has been added to:<\/strong><br \/>\n\t<strong><a href=\"http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Screener\/Details\/21\"><br \/>\n\t#21 &#8211; Momentum Effect in Commodities<\/a><\/strong><\/p>\n<p>\n\t<strong>Authors: <\/strong>Bianchi, Drew, Fan<\/p>\n<p>\n\t<strong>Title: <\/strong>Microscopic Momentum in Commodity Futures<\/p>\n<p>\n\t<strong>Link:<\/strong> <a href=\"https:\/\/www120.secure.griffith.edu.au\/research\/file\/0a572b95-132b-419d-9a71-310420fad143\/1\/2015-10-microscopic-momentum-in-commodity-futures.pdf\">https:\/\/www120.secure.griffith.edu.au\/research\/file\/0a572b95-132b-419d-9a71-310420fad143\/1\/2015-10-microscopic-momentum-in-commodity-futures.pdf<\/a><\/p>\n<p>\n\t<strong>Abstract:<\/strong><br \/>\n\t<br \/>\n\tConventional&nbsp; momentum strategies&nbsp; rely&nbsp; on 12 months of past returns for&nbsp; portfolio formation. Novy-Marx&nbsp; (2012)&nbsp; shows that the intermediate&nbsp; return&nbsp; momentum strategy formed&nbsp; using only twelve to&nbsp; seven&nbsp; months&nbsp; of returns prior&nbsp; to&nbsp; portfolio&nbsp; formation significantly outperforms the recent return momentum formed using six to two month returns&nbsp; prior. This&nbsp; paper proposes a more granular strategy&nbsp; termed&nbsp; &lsquo;microscopic momentum&rsquo;, which further decomposes the intermediate and recent return momentum into&nbsp; single-month&nbsp; momentum components. The&nbsp; novel&nbsp; decomposition&nbsp; reveals that a microscopic&nbsp; momentum&nbsp; strategy&nbsp; generates&nbsp; persistent&nbsp; economic profits&nbsp; even&nbsp; after controlling&nbsp;&nbsp; for&nbsp;&nbsp; sector-specific&nbsp;&nbsp; or month-of-year&nbsp;&nbsp; commodity&nbsp;&nbsp; seasonality&nbsp;&nbsp; effects. Moreover, we show that the intermediate return&nbsp; momentum in the commodity&nbsp; futures must&nbsp; be&nbsp; considered largely&nbsp; illusory, and all 12&nbsp; months of&nbsp; past&nbsp; returns play&nbsp; important&nbsp; roles in determining the conventional momentum profits.<\/p>\n<p>\n\t<strong>Notable quotations from the academic research paper:<\/strong><\/p>\n<p>\n\t&quot;In&nbsp; this&nbsp; study,&nbsp; we&nbsp; propose&nbsp; a&nbsp; third&nbsp; type&nbsp; of&nbsp; momentum&nbsp; strategy&nbsp; termed Microscopic Momentum, which further decomposes the recent (6 to 2 months) and intermediate (12 to 7 months)&nbsp; momentum&nbsp; of&nbsp; Novy-Marx&nbsp; (2012)&nbsp; into&nbsp; 12&nbsp; single-month&nbsp; individual momentum components. As a consequence of the decomposition, we are able to take a glimpse at momentum profits under a month-by-month, microscopic scale. For the first time,&nbsp; this&nbsp; novel&nbsp; approach&nbsp; not&nbsp; only&nbsp; reveals&nbsp; a&nbsp; striking&nbsp; new&nbsp; discovery&nbsp; of&nbsp; a&nbsp; momentum based anomaly, but also allows us to pinpoint whether specific months in the past play a more significant role in determining conventional and echo momentum profits, hence it offers fresh insights into our understanding of momentum in commodity futures.<\/p>\n<p>\n\tThe proposed granular analysis of microscopic momentum makes four major contributions to the commodity futures literature. First, in the commodity futures markets, the &lsquo;11,10 microscopic momentum strategy&rsquo;, constructed using the 11 to 10-month return prior to formation, produces an annualised average return of 14.74% with strong statistical significance. The superiority of the 11,10 strategy is not driven by sector-specific nor month-of-year commodity seasonality effects and is robust across sub-periods&nbsp; and&nbsp; out-of-sample&nbsp; analysis.&nbsp;<\/p>\n<p>\n\tSecond,&nbsp; when&nbsp; the&nbsp; RNM&nbsp; echo&nbsp; momentum&nbsp; is regressed&nbsp; against&nbsp; its&nbsp; microscopic&nbsp; components,&nbsp; RNM&nbsp; intermediate&nbsp; momentum&nbsp; can&nbsp; be completely&nbsp;&nbsp; subsumed&nbsp; by&nbsp;&nbsp; the&nbsp; 11,10&nbsp; microscopic&nbsp; momentum.&nbsp; Thus,&nbsp; the&nbsp; superior performance&nbsp; of&nbsp; intermediate&nbsp; momentum&nbsp; claimed by&nbsp; RNM may&nbsp; be&nbsp; an&nbsp; illusion&nbsp; created by&nbsp; the&nbsp; 11,10&nbsp; microscopic&nbsp; momentum.&nbsp; This&nbsp; implies&nbsp; that&nbsp; for&nbsp; tactical&nbsp; asset&nbsp; allocation decisions,&nbsp; CTAs&nbsp; and&nbsp; commodity&nbsp; fund&nbsp; managers&nbsp; must&nbsp; not&nbsp; consider&nbsp; intermediate momentum&nbsp; as&nbsp; a&nbsp; viable&nbsp; substitute&nbsp; for&nbsp; conventional&nbsp; momentum&nbsp; strategies. Instead,&nbsp; the 11,10&nbsp; microscopic&nbsp; strategy,&nbsp; which&nbsp; offers&nbsp; similar&nbsp; profits&nbsp; in&nbsp; magnitude&nbsp; but&nbsp; unique dynamics of returns to conventional strategies, may be a feasible alternative.<\/p>\n<p>\n\tThird, around 77% of the variation of returns in the JT conventional momentum strategy can be explained by its microscopic decomposition. However, since no dominance is found on any individual month, all past months are found to be important in determining the conventional commodity momentum profits.<\/p>\n<p>\n\tFourth, echo and microscopic&nbsp; momentum&nbsp; is&nbsp; partially&nbsp; related&nbsp; to&nbsp; the&nbsp; U.S.&nbsp; cross-sectional&nbsp; equity momentum and the returns from broad commodity futures, but is not related to stocks, bonds,&nbsp; foreign currency risks and macroeconomic&nbsp; conditions. Consistent with&nbsp; Asness et. al., (2013), this finding implies that there may&nbsp; indeed be a&nbsp; common component in momentum across asset classes.&quot;<\/p>\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\" id=\"block-854363cc-8450-4dc0-a06a-c737766e9431\"><strong>Are you looking for more strategies to read about? <a href=\"https:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/sign-up-for-our-newsletter\/\">Sign up for our newsletter<\/a> or visit our <a href=\"https:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/blog\/\">Blog<\/a> or <a href=\"http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Screener\">Screener<\/a><\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" id=\"block-65925002-6290-4d3b-b5cd-f3a277851ec8\"><strong>Do you want to learn more about Quantpedia Premium service? 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Then, <a href=\"https:\/\/lightspeed.com\/lp\/quantpedia-lightspeed-financial-services-group-one-free-year-promotion\" title=\"\">open an account with Lightspeed<\/a> and enjoy one year of Quantpedia Premium at no cost.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\" id=\"block-4c45d6c9-c8dd-4283-8743-bf573cfa4d45\"><strong>Or follow us on:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\" id=\"block-476e95ed-31a5-4c4d-b701-5203f9fb2e24\"><strong>Facebook <a href=\"https:\/\/www.facebook.com\/groups\/quantstrategies\">Group<\/a>, Facebook <a href=\"https:\/\/www.facebook.com\/quantpedia\/\">Page<\/a>, <a href=\"https:\/\/twitter.com\/quantpedia\">Twitter<\/a>, <a href=\"https:\/\/www.linkedin.com\/company\/quantpedia\">Linkedin<\/a>, <a href=\"https:\/\/quantpedia.medium.com\/\">Medium<\/a> or <a href=\"https:\/\/www.youtube.com\/channel\/UC_YubnldxzNjLkIkEoL-FXg\">Youtube<\/a><\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>\n\t<strong>A related paper has been added to:<\/strong><br \/>\n\t<strong><a href=\"http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Screener\/Details\/21\"><br \/>\n\t#21 &#8211; Momentum Effect in Commodities<\/a><\/strong><\/p>\n<p>\n\t<strong>Authors: <\/strong>Bianchi, Drew, Fan<\/p>\n<p>\n\t<strong>Title: <\/strong>Microscopic Momentum in Commodity Futures<\/p>\n<p>\n\t<strong>Link:<\/strong> <a href=\"https:\/\/www120.secure.griffith.edu.au\/research\/file\/0a572b95-132b-419d-9a71-310420fad143\/1\/2015-10-microscopic-momentum-in-commodity-futures.pdf\">https:\/\/www120.secure.griffith.edu.au\/research\/file\/0a572b95-132b-419d-9a71-310420fad143\/1\/2015-10-microscopic-momentum-in-commodity-futures.pdf<\/a><\/p>\n<p>\n\t<strong>Abstract:<\/strong><\/p>\n<p>\tConventional&nbsp; momentum strategies&nbsp; rely&nbsp; on 12 months of past returns for&nbsp; portfolio formation. Novy-Marx&nbsp; (2012)&nbsp; shows that the intermediate&nbsp; return&nbsp; momentum strategy formed&nbsp; using only twelve to&nbsp; seven&nbsp; months&nbsp; of returns prior&nbsp; to&nbsp; portfolio&nbsp; formation significantly outperforms the recent return momentum formed using six to two month returns&nbsp; prior. This&nbsp; paper proposes a more granular strategy&nbsp; termed&nbsp; &lsquo;microscopic momentum&rsquo;, which further decomposes the intermediate and recent return momentum into&nbsp; single-month&nbsp; momentum components. The&nbsp; novel&nbsp; decomposition&nbsp; reveals that a microscopic&nbsp; momentum&nbsp; strategy&nbsp; generates&nbsp; persistent&nbsp; economic profits&nbsp; even&nbsp; after controlling&nbsp;&nbsp; for&nbsp;&nbsp; sector-specific&nbsp;&nbsp; or month-of-year&nbsp;&nbsp; commodity&nbsp;&nbsp; seasonality&nbsp;&nbsp; effects. Moreover, we show that the intermediate return&nbsp; momentum in the commodity&nbsp; futures must&nbsp; be&nbsp; considered largely&nbsp; illusory, and all 12&nbsp; months of&nbsp; past&nbsp; returns play&nbsp; important&nbsp; roles in determining the conventional momentum profits.<\/p>\n<p>\n\t<strong>Notable quotations from the academic research paper:<\/strong><\/p>\n<p>\n\t&quot;In&nbsp; this&nbsp; study,&nbsp; we&nbsp; propose&nbsp; a&nbsp; third&nbsp; type&nbsp; of&nbsp; momentum&nbsp; strategy&nbsp; termed Microscopic Momentum, which further decomposes the recent (6 to 2 months) and intermediate (12 to 7 months)&nbsp; momentum&nbsp; of&nbsp; Novy-Marx&nbsp; (2012)&nbsp; into&nbsp; 12&nbsp; single-month&nbsp; individual momentum components. As a consequence of the decomposition, we are able to take a glimpse at momentum profits under a month-by-month, microscopic scale. For the first time,&nbsp; this&nbsp; novel&nbsp; approach&nbsp; not&nbsp; only&nbsp; reveals&nbsp; a&nbsp; striking&nbsp; new&nbsp; discovery&nbsp; of&nbsp; a&nbsp; momentum based anomaly, but also allows us to pinpoint whether specific months in the past play a more significant role in determining conventional and echo momentum profits, hence it offers fresh insights into our understanding of momentum in commodity futures.<\/p>\n<p>\n\tThe proposed granular analysis of microscopic momentum makes four major contributions to the commodity futures literature. First, in the commodity futures markets, the &lsquo;11,10 microscopic momentum strategy&rsquo;, constructed using the 11 to 10-month return prior to formation, produces an annualised average return of 14.74% with strong statistical significance. The superiority of the 11,10 strategy is not driven by sector-specific nor month-of-year commodity seasonality effects and is robust across sub-periods&nbsp; and&nbsp; out-of-sample&nbsp; analysis.&nbsp;<\/p>\n<p>\n\tSecond,&nbsp; when&nbsp; the&nbsp; RNM&nbsp; echo&nbsp; momentum&nbsp; is regressed&nbsp; against&nbsp; its&nbsp; microscopic&nbsp; components,&nbsp; RNM&nbsp; intermediate&nbsp; momentum&nbsp; can&nbsp; be completely&nbsp;&nbsp; subsumed&nbsp; by&nbsp;&nbsp; the&nbsp; 11,10&nbsp; microscopic&nbsp; momentum.&nbsp; Thus,&nbsp; the&nbsp; superior performance&nbsp; of&nbsp; intermediate&nbsp; momentum&nbsp; claimed by&nbsp; RNM may&nbsp; be&nbsp; an&nbsp; illusion&nbsp; created by&nbsp; the&nbsp; 11,10&nbsp; microscopic&nbsp; momentum.&nbsp; This&nbsp; implies&nbsp; that&nbsp; for&nbsp; tactical&nbsp; asset&nbsp; allocation decisions,&nbsp; CTAs&nbsp; and&nbsp; commodity&nbsp; fund&nbsp; managers&nbsp; must&nbsp; not&nbsp; consider&nbsp; intermediate momentum&nbsp; as&nbsp; a&nbsp; viable&nbsp; substitute&nbsp; for&nbsp; conventional&nbsp; momentum&nbsp; strategies. Instead,&nbsp; the 11,10&nbsp; microscopic&nbsp; strategy,&nbsp; which&nbsp; offers&nbsp; similar&nbsp; profits&nbsp; in&nbsp; magnitude&nbsp; but&nbsp; unique dynamics of returns to conventional strategies, may be a feasible alternative.<\/p>\n<p>\n\tThird, around 77% of the variation of returns in the JT conventional momentum strategy can be explained by its microscopic decomposition. However, since no dominance is found on any individual month, all past months are found to be important in determining the conventional commodity momentum profits.<\/p>\n<p>\n\tFourth, echo and microscopic&nbsp; momentum&nbsp; is&nbsp; partially&nbsp; related&nbsp; to&nbsp; the&nbsp; U.S.&nbsp; cross-sectional&nbsp; equity momentum and the returns from broad commodity futures, but is not related to stocks, bonds,&nbsp; foreign currency risks and macroeconomic&nbsp; conditions. Consistent with&nbsp; Asness et. al., (2013), this finding implies that there may&nbsp; indeed be a&nbsp; common component in momentum across asset classes.&quot;<\/p>\n<hr \/>\n<p>\n\t<strong>Are you looking for more strategies to read about? Check <a href=\"http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Screener\">http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Screener<\/a><\/strong><\/p>\n<p>\n\t<strong>Do you want to see performance of trading systems we described? Check<\/strong> <strong><a href=\"http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Chart\/Performance\">http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Chart\/Performance<\/a><\/strong><\/p>\n<p>\n\t<strong>Do you want to know more about us? Check<\/strong> <strong><a href=\"http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Home\/About\">http:\/\/\\\/\\\/new-fmhwbzh6ghd9hede.swedencentral-01.azurewebsites.net\/Home\/About<\/a><\/strong><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-671","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/posts\/671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/comments?post=671"}],"version-history":[{"count":0,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/posts\/671\/revisions"}],"wp:attachment":[{"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/media?parent=671"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/categories?post=671"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vvv.quantpedia.com\/es\/wp-json\/wp\/v2\/tags?post=671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}