<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>持有时间 on TimeB.news – Time Economics &amp; Scarcity Theory</title><link>https://timeb.news/tags/%E6%8C%81%E6%9C%89%E6%97%B6%E9%97%B4/</link><description>Recent content in 持有时间 on TimeB.news – Time Economics &amp; Scarcity Theory</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 14 Jun 2026 00:30:00 +0000</lastBuildDate><atom:link href="https://timeb.news/tags/%E6%8C%81%E6%9C%89%E6%97%B6%E9%97%B4/index.xml" rel="self" type="application/rss+xml"/><item><title>时变风险溢价：持有时间如何压缩加密货币的必要回报</title><link>https://timeb.news/zh-cn/posts/time-varying-risk-premium/</link><pubDate>Sun, 14 Jun 2026 00:30:00 +0000</pubDate><guid>https://timeb.news/zh-cn/posts/time-varying-risk-premium/</guid><description>分析加密货币投资者所要求的风险溢价如何随持有期限系统性变化——从 1 天视野的 80% 以上压缩至多年视野的约 15%——以及此风险期限结构如何为长期老币持有者创造结构性优势。</description></item><item><title>老币成熟度曲线：持有时间如何预测 BTC、LTC 和 DOGE 的价格增值</title><link>https://timeb.news/zh-cn/posts/vintage-coin-maturity-curve/</link><pubDate>Sat, 06 Jun 2026 00:30:00 +0000</pubDate><guid>https://timeb.news/zh-cn/posts/vintage-coin-maturity-curve/</guid><description>一项针对 BTC、LTC 和 DOGE 的实证分析，展示持有时间如何形成可预测的老币成熟度曲线，揭示每多持有一年的边际价值遵循幂律衰减函数——对老币资产估值有重要意义。</description></item></channel></rss>