前言-为什么系统投资很重要?

Campbell R. Harvey, Duke
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引用次数: 2

摘要

在这个廉价计算和海量数据的时代,系统化或算法驱动的投资越来越受欢迎。系统策略出现在独立产品中,也出现在尾部对冲和防御覆盖策略中。事实上,考虑到数据的巨大增长,如果没有系统工具的帮助,处理这些数据变得越来越不可行。系统方法的关键优势在于它所施加的纪律——例如,机器不会受到诸如倾向偏见之类的行为问题的困扰,并且在危机时刻,系统策略可以保持“冷静的头脑”。系统的方法也带来了许多挑战。系统性策略可能无法迅速适应市场的结构性变化。它们还带来了“技术清洗”的风险,即投资产品声称使用了“最新的机器学习工具”,但这些工具被误用或发挥的作用微乎其微。重要的是,当一个没有经验的研究人员应用系统工具时,回测往往是过拟合的,导致在实时交易中的表现令人失望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Foreword - Why Is Systematic Investing Important?
In this era of inexpensive computation and vast data, systematic, or algorithmically driven, investment is increasingly popular. Systematic strategies appear in stand-alone products as well in tail-hedging and defensive-overlay strategies. Indeed, given the enormous growth in data, it is becoming infeasible to process these data without the assistance of systematic tools. The key advantage of the systematic approach is the discipline it imposes—for example, machines are not plagued by behavioral issues such as disposition bias, and in a time of crisis, a systematic strategy keeps a “cool head.” Systematic approaches also pose many challenges. Systematic strategies may not quickly adapt to structural changes in the market. They also present the risk of “tech-washing” whereby an investment product claims to use “the latest machine-learning tools,” but the tools are misapplied or play a minimal role. Importantly, when systematic tools are applied by an inexperienced researcher, the backtests are often overfit, leading to disappointing performance in live trading.
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