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	<title>The Harvard Law School Forum on Corporate Governance</title>
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	<title>From Iran to Taylor Swift: Informed Trading in Prediction Markets &#8211; The Harvard Law School Forum on Corporate Governance</title>
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		<title>From Iran to Taylor Swift: Informed Trading in Prediction Markets</title>
		<link>https://corpgov.law.harvard.edu/2026/03/25/from-iran-to-taylor-swift-informed-trading-in-prediction-markets/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=from-iran-to-taylor-swift-informed-trading-in-prediction-markets</link>
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		<pubDate>Wed, 25 Mar 2026 11:31:10 +0000</pubDate>
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				<category><![CDATA[Academic Research]]></category>
		<category><![CDATA[CFTC]]></category>
		<category><![CDATA[Financial regulation]]></category>
		<category><![CDATA[Insider trading]]></category>
		<category><![CDATA[Market manipulation]]></category>
		<category><![CDATA[prediction]]></category>

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		<description><![CDATA[The New Frontier of Insider Trading In the hours before the February 28, 2026 U.S.-Israeli strike on Iran—one of the most closely guarded military operations in recent history—six newly created Polymarket wallets collectively earned approximately $1.2 million by purchasing &#8216;Yes&#8217; shares in the &#8216;US strikes Iran by February 28?&#8217; contract at prices as low as [&#8230;]]]></description>
				<content:encoded><![CDATA[<hgroup><em>Posted by Joshua Mitts (Columbia University) and Moran Ofir (University of Haifa), on Wednesday, March 25, 2026 </em><div class='e_n' style='background:#F8F8F8;padding:10px;margin-top:5px;margin-bottom:10px;text-indent:2.5em;'><strong style='margin-left:-2.5em;'>Editor's Note: </strong> <p style="margin:0; display:inline;"><a href="https://www.law.columbia.edu/faculty/joshua-mitts">Joshua Mitts</a> is David J. Greenwald Professor of Law at Columbia University and <a href="https://www.runi.ac.il/en/faculty/mofir/">Moran Ofir</a> is a Professor of Law and Finance at the University of Haifa. This post is based on their recent <a href="https://urldefense.com/v3/__https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6426778__;!!BDUfV1Et5lrpZQ!VTj8Qyz0yN9DuEtFPdhU_YJqIg-T7n7iYkMCQ4V1tVPgrgbgT2fp21C4WbSXzSGhj4v0EGYDSQNaD4doQPS6Ds83nLYIU8XsXhBwzDY7RcQ$">paper</a>.</p>
</div></hgroup><h3>The New Frontier of Insider Trading</h3>
<p>In the hours before the February 28, 2026 U.S.-Israeli strike on Iran—one of the most closely guarded military operations in recent history—six newly created Polymarket wallets collectively earned approximately $1.2 million by purchasing &#8216;Yes&#8217; shares in the &#8216;US strikes Iran by February 28?&#8217; contract at prices as low as $0.10. One account, operating under the handle &#8216;Magamyman,&#8217; placed its first trade seventy-one minutes before the news broke, when markets implied only a 17% probability of a <a href="https://gizmodo.com/some-alleged-polymarket-insiders-made-a-fortune-on-u-s-strikes-on-iran-2000728196">strike</a>. When those markets resolved in the affirmative, the account&#8217;s profits totalled approximately <a href="https://www.npr.org/2026/03/01/nx-s1-5731568/polymarket-trade-iran-supreme-leader-killing">$553,000</a>.</p>
<p>This episode is striking because it is hardly the first time this has occurred. Two months earlier, a pseudonymous Polymarket account called &#8216;Burdensome-Mix&#8217; earned roughly $485,000 from a $38,500 investment in contracts tied to the capture of Venezuelan President Nicolás Maduro—placing its largest trades just hours before a covert military operation was publicly <a href="https://www.npr.org/2026/01/05/nx-s1-5667232/polymarket-maduro-bet-insider-trading">announced</a>. Israeli authorities separately indicted a civilian and an IDF reservist for allegedly using classified wartime information to profit on <a href="https://www.timesofisrael.com/two-indicted-for-using-classified-info-to-place-online-bets-on-military-operations/">Polymarket</a>. A trader earned over $1 million by predicting with uncanny precision the results of Google&#8217;s proprietary Year in Search <a href="https://defirate.com/news/polymarket-trader-turned-10k-into-1m-google/">rankings</a>. Another appeared to have advance knowledge of OpenAI&#8217;s browser <a href="https://gizmodo.com/tracking-insider-trading-on-polymarket-is-turning-into-a-business-of-its-own-2000709286">launch</a>. And a user named &#8216;romanticpaul&#8217; purchased Taylor Swift engagement contracts aggressively in the days before Swift publicly announced her engagement to Travis <a href="https://www.wsj.com/livecoverage/nvidia-earnings-stock-market-today-08-27-2025/card/well-timed-bets-on-taylor-swift-s-engagement-draw-scrutiny-FnGab0pcXDW67QzYryOh">Kelce</a>.</p>
<p>These cases are not merely colorful anecdotes. They represent a systematic challenge to the legal and regulatory frameworks that govern the use of inside information in connection with trading in traditional instruments like stocks, bonds and futures. Our paper, <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6426778">From Iran to Taylor Swift: Informed Trading in Prediction Markets</a>, presents the first systematic empirical and legal study of this phenomenon.</p>
<p> <a href="https://corpgov.law.harvard.edu/2026/03/25/from-iran-to-taylor-swift-informed-trading-in-prediction-markets/#more-179899" class="more-link"><span aria-label="Continue reading From Iran to Taylor Swift: Informed Trading in Prediction Markets">(more&hellip;)</span></a></p>
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