{"id":6738,"date":"2023-10-29T14:14:51","date_gmt":"2023-10-29T14:14:51","guid":{"rendered":"https:\/\/infundpros.com\/investment\/how-to-play-the-coming-january-bounce-back-for-2023s-stock-market-losers\/"},"modified":"2023-10-29T14:14:52","modified_gmt":"2023-10-29T14:14:52","slug":"how-to-play-the-coming-january-bounce-back-for-2023s-stock-market-losers","status":"publish","type":"post","link":"https:\/\/infundpros.com\/?p=6738","title":{"rendered":"How to play the coming January bounce-back for 2023\u2019s stock-market losers"},"content":{"rendered":"<div id=\"js-article__body\" itemprop=\"articleBody\" data-sbid=\"WP-MKTW-0002648298\" role=\"document\">\n<p>Don\u2019t be too quick to sell the stocks that have performed the worst so far this year, since they are likely to be among the U.S. market\u2019s best performers in January.<\/p>\n<p>That\u2019s because those loser stocks will be subjected to two different sources of artificial selling pressure in coming weeks, neither of which has anything to do with fundamentals or earnings potential. That pressure comes to an end on Dec. 31, which is why these stocks are likely to bounce back in a big way in January.<\/p>\n<div class=\"paywall\">\n<p>One source of selling pressures is end-of-year window dressing, in which portfolio managers sell their losers in order to avoid the embarrassment of having to list them in their end-of-year reports. The other is tax-loss selling, in which investors sell some of the stocks they\u2019re holding at a loss in order to offset some of the capital gains taxes they will have to pay in 2024.<\/p>\n<p>The chart below illustrates this January bounce-back pattern, based on data since 1927 (courtesy of Dartmouth College\u2019s Ken French). It plots the return of a hypothetical portfolio that, each month, invests in the 10% of stocks with the worst trailing-year returns. Notice that the strongest average returns are in January and the worst at the end of the year.<\/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:67.28571428571428%;\" data-subtype=\"photo\" class=\"image-container  responsive-media article__inset__image__image\"><\/div>\n<\/figure><\/div>\n<p>To exploit this pattern, start by looking through a list of the biggest year-to-date losers. Pick out a handful that attract you, and place buy orders on them at prices well-below where they\u2019re currently trading. If you\u2019re lucky, year-end window dressing and tax-loss selling will depress prices enough that a few of your orders are filled. Come January you stand a good chance of pocketing some outsized gains.<\/p>\n<p>I illustrated this approach a year ago by taking the 10% of S&amp;P 1500  stocks with the worst year-to-date performance and narrowing the list to include just those that were also recommended by any of the investment newsletters my firm monitors. The 20 stocks that survived this winnowing process gained 21.8% in January of this year, on average, far outpacing the S&amp;P 500\u2019s 6.3%.<\/p>\n<p>The list below repeats this process with this year\u2019s list of worst year-to-date performers in the S&amp;P 1500 so far this year. Each of the following is recommended by at least one of the investment newsletters by firm monitors.<\/p>\n<table>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      <strong>Stock<\/strong><\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      <strong>YTD return (thru 10\/20)<\/strong><\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Advance Auto Parts, Inc. (AAP)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -64.5%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      First Horizon Corporation (FHN)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -55.3%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Moderna, Inc. (MRNA)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -55.2%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Dollar General Corporation (DG)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -52.7%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      AES Corporation (AES)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -50.9%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Methode Electronics, Inc. (MEI)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -46.0%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Newell Brands Inc (NWL)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -45.1%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Estee Lauder Companies Inc. Class A (EL)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -44.1%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Macy\u2019s, Inc. (M)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -42.6%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Northfield Bancorp, Inc. (NFBK)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -42.5%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Premier, Inc. Class A (PINC)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -42.2%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Concentrix Corporation (CNXC)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -41.8%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      UGI Corporation (UGI)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -41.7%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Sealed Air Corporation (SEE)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -40.9%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Illumina, Inc. (ILMN)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -40.8%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Walgreens Boots Alliance, Inc. (WBA)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -40.4%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Comerica Incorporated (CMA)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -40.4%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      KeyCorp (KEY)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -40.3%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data even\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Foot Locker, Inc. (FL)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -39.5%<\/p>\n<\/td>\n<\/tr>\n<tr class=\"data odd\">\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      Bank of Hawaii Corp (BOH)<\/p>\n<\/td>\n<td align=\"\" valign=\"top\" colspan=\"1\">\n      -38.7%<\/p>\n<\/td>\n<\/tr>\n<\/table>\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>JPMorgan\u2019s Dimon and BlackRock\u2019s Fink both see parallels to the 1970s<\/p>\n<p><strong>Also read: <\/strong>Fear not: U.S. recessions don\u2019t last long, and they \u2018can be favorable entry points\u2019 for stocks, says B. of A.<\/p>\n<\/p><\/div>\n<\/div>\n<p>Read the full article <a href=\"https:\/\/www.marketwatch.com\/story\/how-to-play-the-coming-january-bounce-back-for-2023s-stock-market-losers-5aade7df?mod=investing\" target=\"_blank\" rel=\"noopener\">here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Don\u2019t be too quick to sell the stocks that have performed the worst so far this year, since they are likely to&#8230;<\/p>\n","protected":false},"author":1,"featured_media":6739,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24],"tags":[],"class_list":{"0":"post-6738","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-investment"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to play the coming January bounce-back for 2023\u2019s stock-market losers | inFundPros<\/title>\n<meta name=\"description\" content=\"Don\u2019t be too quick to sell the stocks that have performed the worst so far this year, since they are likely to be among the U.S. market\u2019s best performers\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/infundpros.com\/?p=6738\" 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