A Tax-Loss Harvesting Horserace: Direct Indexing versus ETFs

R. Israelov, Jason Lu
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引用次数: 1

Abstract

This article proposes and analyzes an enhanced, but easily implemented, heuristic for tax-loss harvesting within a portfolio of stocks. Because stock returns are correlated within and across sectors, harvesting opportunities may simultaneously arise across many stocks that also concentrate in individual sectors, and the active risk of undertaking all available harvests may become undesirable. Our algorithm balances harvesting yield, active risk, portfolio rebalancing, and turnover. We evaluate the performance of our heuristic using Monte Carlo simulations across time and within different market environments. We show that harvesting yield for a portfolio of stocks is superior to market ETFs.
税收损失收益赛马:直接指数与etf
本文提出并分析了一种增强的、但易于实现的启发式方法,用于股票投资组合中的税收损失收获。由于股票收益在部门内部和部门之间是相关的,收获机会可能同时出现在许多股票中,这些股票也集中在单个部门,承担所有可用收获的积极风险可能变得不受欢迎。我们的算法平衡了收获收益、主动风险、投资组合再平衡和营业额。我们使用蒙特卡罗模拟跨时间和不同的市场环境来评估启发式算法的性能。我们证明了股票组合的收获收益优于市场etf。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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