{"id":37068,"date":"2020-03-04T09:33:00","date_gmt":"2020-03-04T14:33:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=37068"},"modified":"2022-11-21T09:45:09","modified_gmt":"2022-11-21T14:45:09","slug":"feb-2020-smart-beta-quantz","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/feb-2020-smart-beta-quantz\/","title":{"rendered":"February 2020 Smart Beta Book \u2013 The factor landscape YTD after the sell off"},"content":{"rendered":"\n<p>To learn more about QuantZ\/ <a href=\"https:\/\/www.quantzqmit.com\/media\">QMIT<\/a> and to get our factor research + heatmaps daily or even real-time,\u00a0<a href=\"https:\/\/www.quantzqmit.com\/qmit-products\">please get in touch<\/a>!  <\/p>\n\n\n\n<p><strong>The factor landscape YTD after the sell off<\/strong><\/p>\n\n\n\n<p><em>The market had been whistling past the graveyard as\nArmageddon swept across China. We said last week that, \u201cwith Covid-19 rapidly\nspreading across Italy this weekend not to mention the series of infections in\nJapan &amp; Korea, markets are likely to remain under pressure\u201d before the\nswiftest&nbsp;six-day&nbsp;correction in the history of US markets.&nbsp;It\u2019s\nno surprise that China&#8217;s draconian quarantining measures have led to an\nunprecedented crash in both the manufacturing and non-manufacturing PMIs there\n(February). However, with Covid 19 already in 65 countries &amp; the 1st\nconfirmed case just reported in NYC not to mention 6 deaths in WA state, it\u2019s\nclear that all such measures might not contain this contagion (literally &amp;\nfiguratively). The fact is that it\u2019s likely to spread just like the common\ncold\/ flu across the world eventually exposing everyone since the transmission\nis airborne. Down the road it may become a permanent seasonal fixture along\nwith the various strains of influenza that we inoculate against each flu season\nonce there is a vaccine.&nbsp;Not enough is known about the disease propagation\nyet but we do know that the Ro (2-2.4 transmission rate) is high (<\/em><a href=\"https:\/\/www.facebook.com\/teppercmu\/videos\/223086638736293\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em>https:\/\/www.facebook.com\/teppercmu\/videos\/223086638736293\/<\/em><\/a><br>\n<em>&nbsp;<\/em><br>\n<em>The seven day (20<sup>th<\/sup> Feb \u2013 28<sup>th<\/sup>\nFeb) -13% haircut to the SPX qualifies as the fastest correction in history.\nHowever, it was an orderly decline without the usual histrionics caused by\nliquidity holes, flash crashes, margin calls and systemic outages a la 2008\n(those are likely still to come like the Robinhood outages). As anticipated by\nthe Fed fund futures&nbsp;market we got the 50bps emergency rate cut by the Fed\ntoday. We expect global coordinated rate cuts to follow even though with so\nmany rates in negative territory, central bankers are mostly out of ammunition\nunless they resort to non-traditional monetary stimulus. While timely, these\nmeasures cannot revive patients or economic activity unless we get past the\ncurtailment of public activities, travel &amp; quarantining once there\u2019s a\nrealization that the spread can be slowed but not easily stopped.&nbsp;Demand\ndestruction&nbsp;of this nature cannot be fixed by rate cuts nor can it\nrestore the&nbsp;supply chain disruptions. That realization alone could\nbring the buy every dip mentality to a halt. Indeed, the markets negative reaction\nto the cuts intraday would suggest that the Fed may have wasted precious little\nammunition left (caving into political pressure) while this Administration\nsquanders every opportunity towards constructive preparedness down in the\ntrenches. <\/em><br>\n<em>&nbsp;<\/em><br>\n<em>It remains to be seen if this movie has a\nmacabre ending like that of the Spanish Flu of 1918 or a more benign denouement\nlike that of SARS which died out once the virus mutated &amp; people distanced\nthemselves from civet cats \u2013 the proximate source. Best to keep an eye on the\nlatest data from the WHO here:&nbsp;<\/em><a href=\"https:\/\/github.com\/CSSEGISandData\/COVID-19\" target=\"_blank\" rel=\"noreferrer noopener\"><em>https:\/\/github.com\/CSSEGISandData\/COVID-19<\/em><\/a><br>\n<em>&nbsp;<\/em><br>\n<em>The bottom line is that the extreme measures\nbeing taken by countries in terms of school closures, cancellation of events\/\nconferences, curtailment of travel etc is likely to plunge the global economy\ninto a recession just as we saw with the abysmal Chinese PMIs.&nbsp; 10y yields\nplummeting to historic lows (0.98% intraday) may already be&nbsp;pricing in a\nglobal recession with the global PMI heading south of 50.&nbsp;It may also\nboost the bond proxies further &amp; lead to an even greater blow off top in\nsuch factors as Risk (Low Vol). The related \u201cBernie\u201d factor is also getting\npriced in which may explain why Healthcare has not held up better vs Biotechs \u2013\nSuper Tuesday shall tell. The looming recessionary prospects &amp; uncertain spread\nof Covid 19 present obvious challenges to any factor prognostications hence\nlet\u2019s focus on taking stock of what happened in Feb, YTD and where that might\ntake us next<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em>1st we look at all ESBs YTD and then within Feb we\n     compare the two sub-periods, pre-19<sup>th<\/sup>&nbsp;Feb and post-19<sup>th<\/sup>&nbsp;Feb.\n     All analysis is based on the dollar-neutral daily re-balancing of factor\n     re-ranks where the ESB\u2019s factor allocations are still optimized at the\n     prior month end. NB \u2013 we present below beta-neutral as well as monthly\n     re-balanced versions. <\/em><\/li><li><em>We categorize our\n     18 ESBs into those that broadly fall into Risk Off (Defensive) vs Risk On\n     (Offensive) factors based on a study to be published with the regime\n     mapping.<\/em><\/li><li><em>YTD factor\n     performance already had a pretty defensive tilt to it despite the solid\n     start to the year for stocks up until the 2\/20 correction began. To wit,\n     only Growth was up YTD amongst the Risk On ESBs while on the Risk Off side\n     most of our ESBs were up YTD (except for Dividends &amp; Efficiency).<\/em><em> <\/em>&nbsp; &nbsp;<\/li><\/ul>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"625\" height=\"364\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb1.png\" alt=\"\" class=\"wp-image-37076 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb1.png 625w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb1-300x175.png 300w\" data-sizes=\"(max-width: 625px) 100vw, 625px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 625px; aspect-ratio: 625\/364;\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"625\" height=\"362\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb2.png\" alt=\"\" class=\"wp-image-37075 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb2.png 625w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb2-300x174.png 300w\" data-sizes=\"(max-width: 625px) 100vw, 625px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 625px; aspect-ratio: 625\/362;\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li><em>During the 7d\n     sell-off, Defensive ESBs outperformed in line with intuition.<\/em> <ul><li><em>Quality ESBs\n      were up nicely (CSU +0.8%, EQ 2.0%, LEV 1.1%, PROF 2.2% and STAB 1.5%).<\/em><\/li><li><em>Risk (aka Low\n      Vol) was up +6.7% on a Dollar-Neutral basis.<\/em><\/li><\/ul><\/li><li><em>Feb was a tale of\n     two-halves with&nbsp;<\/em><em>pre-19<sup>th<\/sup>&nbsp;Feb\n     and post-19<sup>th<\/sup>&nbsp;Feb moves cancelling out in cases like that\n     of Dividends, Leverage &amp; CSU.<\/em><\/li><li><em>Value ESBs (DV\n     &amp; RV) continued their steady march downwards as a continuation of last\n     year due to yields hitting all-time lows anddespite the curve steepening.\n     The failure of Value is a much more nuanced story due to the parallel\n     shift down in conjunction with the curve steepening because key\n     constituent sectors like Energy continued hemorrhaging.<\/em><\/li><li><em>Nearly all Risk On ESBs including SIRF, Size &amp;\n     Value (except Growth) continued their steady march downwards in Feb.<\/em><\/li><li><em>Momentum ESBs (MOM, ENMOM, ARS) underperformed while\n     ART worked for the full mo after netting out the two-halves.<\/em><\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"625\" height=\"280\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb3.png\" alt=\"\" class=\"wp-image-37074 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb3.png 625w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb3-300x134.png 300w\" data-sizes=\"(max-width: 625px) 100vw, 625px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 625px; aspect-ratio: 625\/280;\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"625\" height=\"367\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb4.png\" alt=\"\" class=\"wp-image-37073 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb4.png 625w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb4-300x176.png 300w\" data-sizes=\"(max-width: 625px) 100vw, 625px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 625px; aspect-ratio: 625\/367;\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"625\" height=\"364\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb5.png\" alt=\"\" class=\"wp-image-37072 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb5.png 625w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/03\/qmit-feb5-300x175.png 300w\" data-sizes=\"(max-width: 625px) 100vw, 625px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 625px; aspect-ratio: 625\/364;\" \/><\/figure>\n\n\n\n<p><em>Factor leadership started to change (as we\u2019d expected)      but only in the last two days \u2013 it remains to be seen if this is indeed      the inflection point we were expecting given that we saw Risk sell off      last Fri in favor of Value while Reversals kicked in. All we can be sure      of is that there is much more factor vol to come before the dust settles      and clearer patterns emerge as markets may well retest the lows despite      the oversold bounce of Monday 3\/2\/20.&nbsp;&nbsp;<\/em><\/p>\n\n\n\n<p>To learn more about QuantZ\/ <a href=\"https:\/\/www.quantzqmit.com\/media\">QMIT<\/a> and to get our factor research + heatmaps daily or even real-time,\u00a0<a href=\"https:\/\/www.quantzqmit.com\/qmit-products\">please get in touch<\/a>! <\/p>\n","protected":false},"excerpt":{"rendered":"<p>First we look at all ESBs YTD and then within Feb we compare the two sub-periods, pre-19th Feb and post-19th Feb. All analysis is based on the dollar-neutral daily re-balancing of factor re-ranks where the ESB\u2019s factor allocations are still optimized at the prior month end. NB \u2013 we present below beta-neutral as well as monthly re-balanced versions.<\/p>\n","protected":false},"author":269,"featured_media":23888,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[339,338,341,352,344],"tags":[851,6185,4923,6585,4922,6110,6111,5757,6584,494,5926,5436,6586],"contributors-categories":[13678],"class_list":{"0":"post-37068","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science","8":"category-ibkr-quant-news","9":"category-quant-development","10":"category-quant-north-america","11":"category-quant-regions","12":"tag-algo-trading","13":"tag-composite-signal-monitor-performance","14":"tag-computational-finance","15":"tag-covid-19","16":"tag-econometrics","17":"tag-enhanced-smart-beta","18":"tag-factor-covariance-matrix","19":"tag-factor-investing","20":"tag-heatmap-machine-learning","21":"tag-quant","22":"tag-quantamental","23":"tag-smart-beta","24":"tag-val-mo-convergence","25":"contributors-categories-qmit-quantz-machine-intelligence-technologies"},"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 v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>February 2020 Smart Beta Book \u2013 The factor landscape YTD after the sell off<\/title>\n<meta name=\"description\" content=\"First we look at all ESBs YTD and then within Feb we compare the two sub-periods, pre-19th Feb and post-19th Feb. 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For the 3 years prior, he managed a Prop Trading desk at RBC where he served as Portfolio Manager for Quant EMN, Short Term &amp; Event Driven portfolios. Prior to that, he served as Director and Senior Proprietary Trader at Deutsche Bank (now SABA) where he managed Quant EMN portfolios of significant size with input in Event Driven and the larger Capital Structure Arbitrage desk mandates. Prior to that he was a co-founder of Quant Strategies at Merrill Lynch IM (now BlackRock), where his investment role spanned a dozen quantitatively managed funds with up to $30 Billion in AUM. The ML Large Cap Series funds (with MLIM President &amp; CIO as Senior PM) were 5* rated, in the Lipper top 5% &amp; won several WSJ + Morningstar awards by the time of his departure. In addition to being a founding member of Risk at MLIM, he was also a Manager of the Risk Analytics &amp; Research Group at Ernst &amp; Young where he co-created Raven TM. He also created the AIRAP methodology for hedge funds. 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