{"id":215753,"date":"2024-11-29T11:40:02","date_gmt":"2024-11-29T16:40:02","guid":{"rendered":"https:\/\/ibkrcampus.com\/campus\/?p=215753"},"modified":"2024-11-29T16:13:58","modified_gmt":"2024-11-29T21:13:58","slug":"calendar-anomalies-much-ado-about-nothing","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/calendar-anomalies-much-ado-about-nothing\/","title":{"rendered":"Calendar Anomalies, Much Ado About Nothing"},"content":{"rendered":"\n<p><em>The article &#8220;Calendar Anomalies, Much Ado About Nothing&#8221; first appeared on <a href=\"https:\/\/alphaarchitect.com\/2024\/11\/calendar-anomalies\/\">Alpha Architect<\/a> blog.<\/em><\/p>\n\n\n\n<p>An anomaly is a pattern in stock returns that deviates from what is expected based on established financial theories or models. These patterns can sometimes present opportunities for abnormal returns. However, they are often inconsistent and challenging to exploit. Many anomalies have achieved consensus and, thus, have been incorporated into factor-based models, including size, value, momentum, profitability, and investment. And mutual funds and ETFs have been developed that incorporate these factors. An exception is that despite calendar-based anomalies (such as day of the month, month of the year, \u201cSell in May and Go Away,\u201d and many more) having achieved much attention from academic researchers.<\/p>\n\n\n\n<p>For example, see the following articles:<\/p>\n\n\n\n<p><a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=76248\" target=\"_blank\" rel=\"noreferrer noopener\">The Halloween Indicator, \u2018Sell in May and Go Away\u2019: Another Puzzle<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/sci-hub.st\/10.1093\/rfs\/1.4.403\" target=\"_blank\" rel=\"noreferrer noopener\">Are Seasonal Anomalies Real?<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=1593770\" target=\"_blank\" rel=\"noreferrer noopener\">An Anatomy of Calendar Effects<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=917884\" target=\"_blank\" rel=\"noreferrer noopener\">Equity Returns at the Turn of the Month<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.pm-research.com\/content\/iijpormgmt\/36\/3\/93\" target=\"_blank\" rel=\"noreferrer noopener\">Do Seasonal Anomalies Still Work?<\/a><\/p>\n\n\n\n<p>There are no models that incorporate them, nor are there even any funds that attempt to exploit them.<\/p>\n\n\n\n<p>A plausible explanation for this failure is that calendar anomalies could result from statistical data snooping\u2014they suffer from look\u2011ahead and&nbsp;<a href=\"https:\/\/alphaarchitect.com\/2015\/02\/are-some-decisions-to-allocate-to-u-s-equities-due-to-survivorship-bias\/\" target=\"_blank\" rel=\"noreferrer noopener\">survivorship biases<\/a>. Another is that just because a statistical significance of a calendar anomaly exists does not mean that after implementation costs it will lead to abnormal portfolio performance\u2014statistical studies often ignore transactions and other implementation costs, let alone taxes. In other words, are calendar anomalies just an ado about nothing?<\/p>\n\n\n\n<p><strong>New Research<\/strong><\/p>\n\n\n\n<p>To answer that question, Samveg Patel, author of the study,&nbsp;<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/www.pm-research.com\/content\/iijwealthmgmt\/early\/2024\/09\/23\/jwm20241253___.YXAzOnNhcmFncmlsbG86YTpnOmVhNWY5YTBmYzU1MTRjY2FkZDdjNTUyYjk4NzQ1NTUyOjY6YTkwMToyMjIyYzBmNDE3MmNlNzQ5YzM1OGUyZjMzYTlhMGZmZTc0NWI4MTRhNThiN2JhZGFjYjg4ZDM4NDg4ZjY3ZDhjOnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">\u201cCalendar Anomalies: A Portfolio Approach<\/a>,\u201d published in the September 2024 issue of The Journal of Wealth Management, evaluated the calendar\u2011anomalies\u2011based active portfolio strategies using daily closing prices of the S&amp;P 500 Total Return Index (TRI) and MSCI All Country World Index (ACWI). To test the calendar anomalies found in the literature from a statistical perspective, Patel applied a time\u2011series regression model with dummy variables for each day, date, and month and constructed portfolios based on equal amounts of investments on a particular day, date, or month. His sample covered the period from inception (1988 for S&amp;P 500 TRI and 2001 for MSCI ACWI) to 2023. Following are his key findings:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The days, dates, and months that provided the highest and lowest returns were inconsistent across decades and indices.<\/li>\n\n\n\n<li>The percentage of up\u2011days and down\u2011days were very similar across days, dates, and months.<\/li>\n\n\n\n<li>He could not find consistent higher or lower returns for a particular day, date, or month across decades and indices.<\/li>\n\n\n\n<li>The findings were robust when dividing the full sample into decades.<\/li>\n\n\n\n<li>The negligible differences in the annualized returns for day, date, and month portfolios suggests that calendar\u2011anomalies\u2011based portfolio strategies do not generate superior returns for a particular day, date, or month portfolio in either US or global portfolios.<\/li>\n<\/ul>\n\n\n\n<p>His findings led Patel to conclude:<br><em>\u201cContrary to popular belief, calendar anomalies do not exist in the US and world market indices.\u201d He added: \u201cCalendar anomalies are just statistical gibberish and not \u2018real anomalies,\u2019 at least in the context of portfolio management, and are just an ado about nothing\u2026. The findings of this study are expected to settle the debate on exploiting calendar anomalies to generate abnormal returns in portfolio management.\u201d<br><\/em><strong>Investor Takeaways<\/strong><\/p>\n\n\n\n<p>In our book \u201c<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/www.amazon.com\/s?k=your+complete+guide+to+factor-based+investing&amp;crid=20KT25HTOXF9P&amp;sprefix=your+complete+%2Caps%2C558&amp;ref=nb_sb_ss_ts-doa-p_2_14___.YXAzOnNhcmFncmlsbG86YTpnOmVhNWY5YTBmYzU1MTRjY2FkZDdjNTUyYjk4NzQ1NTUyOjY6OTAzMDo0MmM3NDlkNTU2ZmQ2MTg1NzcwZjMxMjNiOGExNDlkZDU4YjE3OTY5ZjUxMjA3NDNmMzA3MDI4MjAxZTc0YTBlOnA6VDpO\">Your Complete Guide to Factor-Based Investing<\/a>\u201d Andrew Berkin and I provided investors with six criteria that should exist (all six must exist) before an investors should consider allocating to a strategy\u2014there must be a premium that has been persistent (across time and economic regimes), pervasive (across sectors, countries, regions and if applicable asset classes), robust (to various definitions), implementable (survives transactions costs), and have risk- or behavioral-based explanations for why you should believe they should persist. Calendar anomalies (including \u201cSell in May and Go Away\u201d) fail this test as there is no rational argument as to why a particular average daily or monthly return should be higher.<\/p>\n\n\n\n<p>For investors the key takeaway from this study is that although statistical analysis provides evidence about the existence of calendar anomalies (like day of the week, date of the month, and month of the year) in the US and world market indices, there is no significant difference in the annualized returns for calendar\u2011anomalies\u2011based portfolio strategies. Thus, the selection of a day or date does not make any significant difference in a portfolio\u2019s returns\u2014investors can choose any day or date for a systematic investment plan based on what is convenient for them, and their portfolio returns will not differ across the selection of day or date. The bottom line is that the timing of stock purchases and sells does not matter to investors in the long run. And that means you should invest whenever you have the cash to do so.<\/p>\n\n\n\n<p>Perhaps the most important takeaway is that the efficient market hypothesis suggests that the stock markets are efficient and that it is extremely difficult to find anomalies that can generate consistent abnormal returns. Thus, investors are best served by avoiding active management strategies that seek to exploit mispricings.<\/p>\n\n\n\n<p><em>Larry Swedroe is the author or co-author of 18 books on investing, including his latest&nbsp;<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/www.amazon.com\/Enrich-Your-Future-Successful-Investing\/dp\/1394245440\/ref=sr_1_1?dib=eyJ2IjoiMSJ9.R1VwlsG9zUQwWdwscc3NP8rAPy1AYJ98_5eXI5gGVGCPSPovf3x9H2BwrWiJTfVeGVaAeNgo4YynV7fMdW1Stn90Hz7Jm_-d2fSa8ZRoGqJ0ltbvZBiYg3tdNdiTESgU8oGBWs7UK9DXkptMCkJrFoN9fHkvLN9fB_eHfYgDoNcooGI3h2MLJHW80YJF90rN7wewKB8_kpBihHn0BVw8oAWtn4UM_n1x4a22tLq7HHk.MylN3lRQlZinOd6HLHOQWVAuv7mSZ2W1QyuZhRBAHUk&amp;dib_tag=se&amp;keywords=Enrich+Your+Future.&amp;qid=1724789984&amp;sr=8-1___.YXAzOnNhcmFncmlsbG86YTpnOjYyZDBhNjg5MTI0ZGVjYThmZjJlYWYwZDk2MjhmYzQyOjY6MDU3Mzo4YjcwMzA2ZGZhN2YzNjg2OTcxMzQ2ZTE5ZjFiYzUyYWMyMGQwM2U4MmQ5ZGRmZTIyNzg2MTA3YTE3NDNlMTk2OnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">Enrich Your Future<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>An anomaly is a pattern in stock returns that deviates from what is expected based on established financial theories or models.<\/p>\n","protected":false},"author":298,"featured_media":45923,"comment_status":"open","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[339,338,341],"tags":[18049,1006],"contributors-categories":[13651],"class_list":{"0":"post-215753","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":"tag-calendar-anomalies","11":"tag-fintech","12":"contributors-categories-alpha-architect"},"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 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