Scholarlink

<p>This paper addresses the challenge of constructing factor portfolios that accurately reflect asset characteristics while remaining robust to noise. We examine the variation of the portfolio weights produced on noisy versions of the original signal while targeting a fixed unit of signal exposure. It is proposed a framework to evaluate how well portfolio strategies handle noise by analyzing how portfolio weights vary with noisy versions of the original signal, while maintaining a consistent level of signal exposure. Assuming normal distribution for signal and noise, we analytically derive the distribution of portfolio weight deviations. These findings are supported by simulations using more realistic skewed, fat-tailed, and correlated signals. The framework is then applied to various common portfolio strategies and factors.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Sensitivity analysis applied to tilting methodologies

  • 期刊论文

  • 发表日期：

    2025年1月28日

查看全文
  • Tom Chan,
  • Julien Riposo,
  • E. G. Klepfish,
  • Andreas Schroeder

摘要

This paper addresses the challenge of constructing factor portfolios that accurately reflect asset characteristics while remaining robust to noise. We examine the variation of the portfolio weights produced on noisy versions of the original signal while targeting a fixed unit of signal exposure. It is proposed a framework to evaluate how well portfolio strategies handle noise by analyzing how portfolio weights vary with noisy versions of the original signal, while maintaining a consistent level of signal exposure. Assuming normal distribution for signal and noise, we analytically derive the distribution of portfolio weight deviations. These findings are supported by simulations using more realistic skewed, fat-tailed, and correlated signals. The framework is then applied to various common portfolio strategies and factors.