<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yearly on The Algo Bench</title><link>https://thealgobench.com/tags/yearly/</link><description>Recent content in Yearly on The Algo Bench</description><generator>Hugo</generator><language>en-IN</language><lastBuildDate>Fri, 09 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://thealgobench.com/tags/yearly/index.xml" rel="self" type="application/rss+xml"/><item><title>Buying last year's losers: the NIFTY 500's worst performers kept losing</title><link>https://thealgobench.com/strategies/last-years-losers/</link><pubDate>Fri, 09 Oct 2026 00:00:00 +0000</pubDate><guid>https://thealgobench.com/strategies/last-years-losers/</guid><description>&lt;h2 id="the-idea"&gt;The idea&lt;/h2&gt;&#10;&lt;p&gt;Buy what has fallen the most and wait for it to bounce back. It&amp;rsquo;s one of the most natural instincts in investing, and&#10;it has a respectable academic history: a famous 1985 study found that US stocks with the worst returns over the past&#10;three to five years went on to beat the market. Prices overshoot, the argument goes, so the most hated stocks become&#10;too cheap.&lt;/p&gt;</description></item></channel></rss>