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    <pubDate>Tue, 19 May 2026 03:07:27 GMT</pubDate>
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      <pubDate>Wed, 20 May 2026 22:30:00 GMT</pubDate>
      <title>IAQF &amp; Thalesians Seminar Series: Optimal Long-Term Growth Rate for Liquidity Providers in Automated Market Makers. A Seminar by Maxim Bichuch. (20 May 2026)</title>
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&lt;p style="margin-bottom: 0px !important;"&gt;&lt;strong&gt;&lt;font face="Arial, Helvetica, sans-serif"&gt;Abstract:&lt;/font&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p style="margin-top: 0px !important; margin-bottom: 0px;"&gt;&lt;font face="Arial, Helvetica, sans-serif"&gt;We derive the optimal long-term growth rate for an agent investing in a market composed of a numéraire asset, a risky asset subject to transaction costs, and a liquidity pool within an Automated Market Maker (AMM). We first establish the necessary conditions to ensure a no-arbitrage environment within this market structure. Under these conditions, we determine the asymptotically optimal trading strategy for liquidity providers. Finally, we provide economic intuition for the strategy’s sensitivity to various market parameters, supported by numerical illustrations of our theoretical results.&lt;/font&gt;&lt;/p&gt;

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&lt;p style="margin-top: 0px !important; margin-bottom: 0px !important;"&gt;&lt;strong&gt;&lt;font face="Arial, Helvetica, sans-serif"&gt;Bio:&lt;/font&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p style="margin-top: 0px !important; margin-bottom: 0px !important;"&gt;&lt;font face="Arial, Helvetica, sans-serif"&gt;Maxim Bichuch holds a M.S. from NYU and a Ph.D. from Carnegie Mellon University both in Financial Mathematics. He was a Postdoctoral Research Associate &amp;amp; Lecturer in the ORFE department in Princeton, and an Assistant Professor at Worcester Polytechnic Institute and Johns Hopkins University, before joining the department of Mathematics at The University at Buffalo. Prior to obtaining his Ph.D. He has also gained corporate experience working for Citigroup and Bear Stearns. His research interests include optimal investment, optimal control, stochastic volatility, credit, funding and counterparty risks, and most recently electricity markets, machine learning and AI, decentralized finance and fintech.&lt;/font&gt;&lt;/p&gt;

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      <link>https://iaqf.org/event-6674375</link>
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