<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Forecast Accuracy | Sebastian Stöckl</title><link>https://www.sebastianstoeckl.com/tags/forecast-accuracy/</link><atom:link href="https://www.sebastianstoeckl.com/tags/forecast-accuracy/index.xml" rel="self" type="application/rss+xml"/><description>Forecast Accuracy</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 23 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://www.sebastianstoeckl.com/media/icon_hu_579dce1bfbea7b2a.png</url><title>Forecast Accuracy</title><link>https://www.sebastianstoeckl.com/tags/forecast-accuracy/</link></image><item><title>Risk-Adjusting Forecasts for Increased Portfolio Performance</title><link>https://www.sebastianstoeckl.com/publications/wp2026_risk_adjusting_forecasts/</link><pubDate>Thu, 23 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.sebastianstoeckl.com/publications/wp2026_risk_adjusting_forecasts/</guid><description>&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-blue-100 dark:bg-blue-900 border-blue-500"
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&lt;div class="callout-title font-semibold mb-1"&gt;Note&lt;/div&gt;
&lt;div class="callout-body"&gt;This is the &lt;strong&gt;next iteration&lt;/strong&gt; of &lt;a href="https://www.sebastianstoeckl.com/publications/2026_lost_in_translation/"&gt;&lt;em&gt;Lost in Translation? Risk-Adjusting RMSE for Economic Forecast Performance&lt;/em&gt;&lt;/a&gt; (Salcher, Stöckl &amp;amp; Hanke, &lt;em&gt;Journal of Forecasting&lt;/em&gt;, 2026).
Where the published paper introduces risk-adjusted forecast-accuracy measures (RAFE, C-RAFE, T-RAFE) and documents their link to economic performance, the present paper derives the full bias–variance identity of the Sharpe-ratio gap and maps classical shrinkage and factor-model estimators onto a unified frontier of portfolio rules.&lt;/div&gt;
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