{"id":84201,"date":"2023-11-13T23:58:55","date_gmt":"2023-11-14T04:58:55","guid":{"rendered":"https:\/\/ifintechworld.com\/investing\/stock-traders-take-note-theres-hope-for-market-timing-after-all\/"},"modified":"2023-11-13T23:58:57","modified_gmt":"2023-11-14T04:58:57","slug":"stock-traders-take-note-theres-hope-for-market-timing-after-all","status":"publish","type":"post","link":"https:\/\/ifintechworld.com\/?p=84201","title":{"rendered":"Stock traders take note: There\u2019s hope for market timing, after all"},"content":{"rendered":"<div id=\"js-article__body\" itemprop=\"articleBody\" data-sbid=\"WP-MKTW-0002720461\" role=\"document\">\n<div data-layout=\"inline\n                \" data-layout-mobile=\"\" class=\"\n          media-object\n          type-InsetPullQuote\n            inline\n    scope-web|mobileapps\n  article__inset\n          article__inset--type-InsetPullQuote\n            article__inset--inline\n  \"><\/p>\n<p>          <!-- eventually when we know what this card will be we can change it and leave this one --><\/p>\n<div class=\"wsj-article-pullquote article__inset__pullquote \">\n<p class=\"pullquote-content article__inset__pullquote__quote\">\n        <span class=\"l-qt article__inset__pullquote__mark--left\">\u201c<\/span>Market timing can appear to be a fool\u2019s game. But that\u2019s only half the story.<span class=\"r-qt article__inset__pullquote__mark--right\">\u201d<\/span>\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p>The S&amp;P 500<br \/>\n        SPX<br \/>\n       would be up more than 30% this year as of November 8, but for eight particularly bad days for the U.S. market. That\u2019s more than double the benchmark index\u2019s actual return of 14.1% over that time.<\/p>\n<p>I point this out to provide additional perspective on a provocative report from DataTrek Research, which recently reported that the S&amp;P 500\u2019s return through Nov. 8 was due primarily to the year\u2019s eight best trading days.<\/p>\n<div class=\"paywall\">\n<p>This is important because if you focus only on what happens when you miss the best trading days, market timing can appear to be a fool\u2019s game. But that\u2019s only half the story. A defender of market timing could just as easily focus on the huge benefits that accrue to sidestepping the biggest losing days.<\/p>\n<div data-layout=\"inline\n                \" data-layout-mobile=\"\" class=\"\n          media-object\n          type-InsetPullQuote\n            inline\n    scope-web|mobileapps\n  article__inset\n          article__inset--type-InsetPullQuote\n            article__inset--inline\n  \"><\/p>\n<p>          <!-- eventually when we know what this card will be we can change it and leave this one --><\/p>\n<div class=\"wsj-article-pullquote article__inset__pullquote \">\n<p class=\"pullquote-content article__inset__pullquote__quote\">\n        <span class=\"l-qt article__inset__pullquote__mark--left\">\u201c<\/span>What if you had equal success avoiding some of the best and some of the worst days? <span class=\"r-qt article__inset__pullquote__mark--right\">\u201d<\/span>\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p>In the real world, of course, no one is able to sidestep all the good or all the bad days. But what if that were possible? The table below provides insight.<\/p>\n<table>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      <\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      <strong>2023 return through 11\/8<\/strong><\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      <strong>Standard deviation of daily returns<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Buy-and-hold return<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      +14.1%<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      0.85<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Sidestepping the 8 best days<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -1.5%<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      0.78<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Sidestepping the 8 worst days<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      +30.5%<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      0.79<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Sidestepping the 8 best and the 8 worst days<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      +12.6%<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      0.72<\/p>\n<\/td>\n<\/tr>\n<\/table>\n<p>Notice that when you sidestep both the best and the worst days, you come close to matching the buy-and-hold return, but with measurably less risk. As a result, you beat the market on a risk-adjusted basis.<\/p>\n<div data-layout=\"inline\n                \" data-layout-mobile=\"\" class=\"\n          media-object\n          type-InsetPullQuote\n            inline\n    scope-web|mobileapps\n  article__inset\n          article__inset--type-InsetPullQuote\n            article__inset--inline\n  \"><\/p>\n<p>          <!-- eventually when we know what this card will be we can change it and leave this one --><\/p>\n<div class=\"wsj-article-pullquote article__inset__pullquote \">\n<p class=\"pullquote-content article__inset__pullquote__quote\">\n        <span class=\"l-qt article__inset__pullquote__mark--left\">\u201c<\/span>The most volatile sessions on Wall Street tend to be bunched together in clusters. <span class=\"r-qt article__inset__pullquote__mark--right\">\u201d<\/span>\n      <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p>But do market timers have a realistic shot at avoiding the trading sessions with either the biggest gains or the biggest losses \u2014 the most volatile trading sessions, in other words? <\/p>\n<p>The surprising answer is \u201cyes,\u201d according to an academic study entitled \u201cVolatility-Managed Portfolios.\u201d It was conducted by Alan Moreira of the University of Rochester and Tyler Muir of UCLA.<\/p>\n<p>I wrote about this study several months ago, so will briefly summarize its findings here. The professors found that the most volatile sessions on Wall Street tend to be bunched together in clusters. By reducing your equity exposure when volatility spikes upward, and restoring that exposure when volatility recedes, you have good odds of sidestepping many of the trading sessions with the biggest gains or the biggest losses. <\/p>\n<p>As a result, according to the professors, you can beat the market on a risk-adjusted basis.<\/p>\n<p>This year is a good example of how volatile sessions are often bunched together. Of the 16 trading days this year so far that are among either the best eight or worst eight, six occurred in a 14-trading-session stretch between March 3 and March 22.<\/p>\n<p>The professors document their findings with a number of statistical tests. But one simple way of appreciating what they found is provided by the accompanying chart, which focuses on all S&amp;P 500 trading sessions since 1928.<\/p>\n<div data-layout=\"inline\n                \" data-layout-mobile=\"\" class=\"\n          media-object\n          type-InsetMediaIllustration\n            inline\n  article__inset\n          article__inset--type-InsetMediaIllustration\n            article__inset--inline\n  \"><\/p>\n<p>          <!-- eventually when we know what this card will be we can change it and leave this one --><\/p>\n<figure class=\"\n        media-object-image\n        enlarge-image\n        img-inline\n        article__inset__image\n      \" itemscope=\"\" itemtype=\"http:\/\/schema.org\/ImageObject\"><\/p>\n<div style=\"padding-bottom:70.71428571428572%;\" data-subtype=\"photo\" class=\"image-container  responsive-media article__inset__image__image\"><\/div>\n<\/figure><\/div>\n<p>Notice that over this longer period you actually beat a buy-and-hold strategy in raw, unadjusted terms when sidestepping both the best- and worst days. And when you take into account the risk reduction from avoiding the most volatile days, you beat the market even more on a risk-adjusted basis. That\u2019s a winning combination.<\/p>\n<p><em>Mark Hulbert is a regular contributor to MarketWatch. His Hulbert Ratings tracks investment newsletters that pay a flat fee to be audited. He can be reached at <\/em><em>mark@hulbertratings.com<\/em><\/p>\n<p><strong>More:<\/strong> Stock-market timers beware: Just 8 days account for all of the S&amp;P 500\u2019s 14% gain in 2023<\/p>\n<p><strong>Plus:<\/strong><strong> <\/strong>Stock-market rally faces make-or-break moment. How to play U.S. October inflation data.<\/p>\n<\/p><\/div>\n<\/div>\n<p>Read the full article <a href=\"https:\/\/www.marketwatch.com\/story\/stock-traders-take-note-theres-hope-for-market-timing-after-all-21cc31ec?mod=investing\" target=\"_blank\" rel=\"noopener\">here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cMarket timing can appear to be a fool\u2019s game. But that\u2019s only half the story.\u201d The S&amp;P 500 SPX would be up more than 30% this year as of November 8, but for eight particularly bad days for the U.S. market. That\u2019s more than double the benchmark index\u2019s actual return of 14.1% over that time. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":84202,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"video","meta":{"footnotes":""},"categories":[239],"tags":[83],"class_list":["post-84201","post","type-post","status-publish","format-video","has-post-thumbnail","hentry","category-investing","tag-featured","post_format-post-format-video"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Stock traders take note: There\u2019s hope for market timing, after all | iFintechWorld<\/title>\n<meta name=\"description\" content=\"\u201cMarket timing can appear to be a fool\u2019s game. 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