{"id":227205,"date":"2025-07-14T10:34:49","date_gmt":"2025-07-14T14:34:49","guid":{"rendered":"https:\/\/ibkrcampus.com\/campus\/?p=227205"},"modified":"2025-07-14T10:33:43","modified_gmt":"2025-07-14T14:33:43","slug":"insider-trading-increases-market-efficiency","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/insider-trading-increases-market-efficiency\/","title":{"rendered":"Insider Trading Increases Market Efficiency"},"content":{"rendered":"\n<p><em>The article &#8220;Insider Trading Increases Market Efficiency&#8221; was originally posted on <a href=\"https:\/\/alphaarchitect.com\/insider-trading-increases-market-efficiency\/\">Alpha Architect<\/a> Blog<\/em><\/p>\n\n\n\n<p>The empirical research (for example,&nbsp;<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/www.nber.org\/papers\/w6656___.YXAzOnNhcmFncmlsbG86YTpnOjI3ZTA2NGZiMjcwODk1MjA1MjhkZTY5OWQzY2JkY2VmOjY6YTcxYzo4MjA1YzUzYmI0NzAxMTBmYmNhYmYzMTI3ZmE1NDI0YWU5YzNhODIwMTc0ODVjZWJiYTUwNDRjZWI0NTA4MWMxOnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>,&nbsp;<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=2732969___.YXAzOnNhcmFncmlsbG86YTpnOjI3ZTA2NGZiMjcwODk1MjA1MjhkZTY5OWQzY2JkY2VmOjY6NDVmMzozZWVlMDc3M2YyYzRhMTk1NDZjMDI2NGU0MTlhYTljZDkwZmZmMzBhYmYwYTU3Mjg1MzQyZWU1MTVhOWFjN2IxOnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>,&nbsp;<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=372180___.YXAzOnNhcmFncmlsbG86YTpnOjI3ZTA2NGZiMjcwODk1MjA1MjhkZTY5OWQzY2JkY2VmOjY6M2QwNDo4ZDc1ZTQzNTFmNWZjODg4YTRjMzI4ZDM5MjJjNTc5MDI2YWEwZjY4ZDVlMmIyZDI5ZTlkMWIyMmRiYzFmMTNmOnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>&nbsp;and&nbsp;<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378426609003136___.YXAzOnNhcmFncmlsbG86YTpnOjI3ZTA2NGZiMjcwODk1MjA1MjhkZTY5OWQzY2JkY2VmOjY6YWNjZDpjZDNhYWRkZWFjNzEyNTdiNDcwMWJlOGUzNmE1NTI1ZGVmYmI4MmJjZTBhYzg4ZWFjNGZiNGQ4MTgwMDMzMDY2OnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>) on insider trading demonstrates that insider transactions have significant predictive power for future stock returns as they reveal helpful information that may affect the price of stocks. George Jiang and Yun Ma contribute to the literature with their November 2023 study, \u201c<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=5127729___.YXAzOnNhcmFncmlsbG86YTpnOjI3ZTA2NGZiMjcwODk1MjA1MjhkZTY5OWQzY2JkY2VmOjY6ODBlOTo2NDZlMTcyNzEyMTUwMWM0MjVmMmM2ODZlNmNmNzBmOTU0ZDIyOTA2NzgxYjZhNzhiZWY5OWNkNGRjZTc3OTZlOnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">Does Insider Trading Correct Mispricing?<\/a>\u201d which examined whether insider trades contained information about future firm fundamentals for mispriced stocks and the extent to which insider trades incorporated future fundamental information into stock prices\u2014 insiders can benefit by providing more information as to future firm fundamentals or by identifying market mispricing.<\/p>\n\n\n\n<p>Their analysis used mispricing variables previously identified in the literature about\u00a0<a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=972695\" target=\"_blank\" rel=\"noreferrer noopener\">misvaluation factors<\/a>: initial public offerings, seasoned equity offerings, debt offerings, equity repurchase, and debt repurchase. They used the information to identify and create three firm characteristics portfolios based on the above variables: underpriced, overpriced, and neutral firms. They then used an additional mispricing identifier for a robustness check, the\u00a0<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/onlinelibrary.wiley.com\/doi\/10.1111\/j.1540-6261.2006.00884.x___.YXAzOnNhcmFncmlsbG86YTpnOjI3ZTA2NGZiMjcwODk1MjA1MjhkZTY5OWQzY2JkY2VmOjY6ODliZDpkZWQ0YjEzOTRmNTNhNDhmODdjNDdlMmRlOTBmMzdmYjJiOTVlNWY4ZDAzMDViOWUzMjFkNDQ2ZWJkYTBhNDI1OnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">five-year composite share issuance<\/a>\u00a0(CSI).<\/p>\n\n\n\n<p>\u201cThe CSI measure is designed to capture information regarding managers\u2019 decisions to issue or repurchase equity that may be influenced by persistent mispricing in the market. It is found that the composite share issuance variable exhibits a significant negative correlation with future returns.\u201d<\/p>\n\n\n\n<p>To sharpen their analysis, they excluded pre-scheduled (routine) insider trades which have been\u00a0<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/onlinelibrary.wiley.com\/doi\/abs\/10.1111\/j.1540-6261.2012.01740.x___.YXAzOnNhcmFncmlsbG86YTpnOjI3ZTA2NGZiMjcwODk1MjA1MjhkZTY5OWQzY2JkY2VmOjY6ZjM2NTo2OGUxMTA2NWI4ZjVlMTE0MWIzYjNlNmQyMDFmMThiNjIxOTAzNDEwMTA0YzE3ZjIzNTU2ZTUzNjVlMmU4MmVjOnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">shown<\/a>\u00a0to be less informed by stock valuation.<\/p>\n\n\n\n<p>Their data sample covered the period 1986-2020, 2,433,573 insider sell transactions, and 768,498 insider buy transactions. Following is a summary of their key findings:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>While insider trades did not fully capture the information content of future firm\u00a0<a href=\"https:\/\/alphaarchitect.com\/value-investing-accruals-cash-flows-and-operating-profitability\/\" target=\"_blank\" rel=\"noreferrer noopener\">cash flows<\/a>, overall, there was significant positive relationships between net insider purchase activities and future firm performance\u2014insiders purchase more and sell less when the firm performs better in the next quarter or next year, indicating that insiders possess superior information about firm fundamentals.<\/li>\n\n\n\n<li>Insider transactions contained more long-term future fundamental information mainly for over-valued stocks\u2014they could not conclude that insider transactions carried more fundamental information for undervalued stocks.<\/li>\n\n\n\n<li>After controlling for the mispricing effect, insider trading activities still predicted future return performance, indicating insider transactions contained more information content than just stocks\u2019 misvaluation. However, only opportunistic\/non-preplanned transactions reliably forecasted future returns performance, facilitating the correction of mispricing.<\/li>\n\n\n\n<li>Overpriced stocks had negative relations with the future return performance over both short- and long horizons.<\/li>\n\n\n\n<li>At the one-year horizon only, underpriced stocks had positive relations with future return performance\u2014the recognition of overpriced stocks drives the insider transactions for both short and long-term, and the recognition of underpriced stocks drives the insider transactions for long-time horizon. In other words, insider trading activities correct mispricing by purchasing undervalued stocks over the long-term and selling overvalued stocks over the short and long-term.<\/li>\n\n\n\n<li>Low CSI had a positive and significant relationship with future returns, while high CSI had a negative and significant relationship with future returns. And, based on the CSI indicator, underpriced stocks had stronger positive relations with the future return performance for all horizons.<\/li>\n<\/ul>\n\n\n\n<p>Their findings led Jiang and Ma to conclude:<\/p>\n\n\n\n<p>\u201cOur findings support the hypothesis that insider trading can improve stock price efficiency and promote stock price discovery. However, we found that this effect is significant only for overvalued stocks over [the] short-term and undervalued stocks over [the] long-term. These results suggest that the market incorporates insider trading information into the prices of overvalued stocks in the short-term and undervalued stocks in the long-term. Furthermore, our study shows that insider transactions carry more long-term future firm fundamental information for overvalued stocks. Despite these findings, insider trading activities only incorporate a small fraction of future firm fundamentals into future stock prices. Therefore, a significant portion of fundamental information remains unexplained by insider transactions.\u201d<\/p>\n\n\n\n<p><strong>Investor Takeaways<\/strong><\/p>\n\n\n\n<p>The empirical research demonstrates that overall insider trades provide information as to future stock returns\u2014 the effect is significant mainly for overvalued stocks over the short-term, and undervalued stocks over long-term. In doing so they help to correct mispricing, making the market more efficient. However, it is important to note that it is only the non-preplanned and opportunistic insider transactions that help correct mispricing and promote stock price discovery\u2014the preplanned trades are indicative of executives diversifying their portfolios. The publication of these findings also helps to make the market more efficient as investors incorporate the findings into their investment strategies. Another example of \u201c<a href=\"https:\/\/url.avanan.click\/v2\/___https:\/www.amazon.com\/dp\/B08H5WQ9QH\/?bestFormat=true&amp;k=the%20incredible%20shrinking%20alpha&amp;ref_=nb_sb_ss_w_scx-ent-pd-bk-d_de_k0_1_30&amp;crid=17MSCZ2750J9G&amp;sprefix=the%20incredible%20shrinking%20alpha___.YXAzOnNhcmFncmlsbG86YTpnOjI3ZTA2NGZiMjcwODk1MjA1MjhkZTY5OWQzY2JkY2VmOjY6MmI0NjoxMzRiZDBkN2UyMjhiYmNmZWYyYzQ3MzVlMWI5OWY1OTI5M2IzZGM3NGE2MzI2N2JjOGMyNzg5YjA0YzQ3ZGI1OnA6VDpO\" target=\"_blank\" rel=\"noreferrer noopener\">The Incredible Shrinking Alpha<\/a>.\u201d&nbsp; &nbsp;<\/p>\n\n\n\n<p>Larry Swedroe is the author or co-author of 18 books on investing, including his latest&nbsp;<em><a href=\"https:\/\/www.amazon.com\/Enrich-Your-Future-Successful-Investing\/dp\/1394245440\/\" target=\"_blank\" rel=\"noreferrer noopener\">Enrich Your Future<\/a><\/em>.<\/p>\n\n\n\n<p><br><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>George Jiang and Yun Ma contribute to the literature with their November 2023 study, \u201cDoes Insider Trading Correct Mispricing?\u201d which examined whether insider trades contained information about future firm fundamentals for mispriced stocks<\/p>\n","protected":false},"author":298,"featured_media":208287,"comment_status":"open","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[339,338,341],"tags":[1006],"contributors-categories":[13651],"class_list":{"0":"post-227205","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-fintech","11":"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 SEO v27.3) - 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