Quantitative Investment Diversification Strategies via Various Risk Models

Maysam Khodayari Gharanchaei, Prabhu Prasad Panda, Xilin Chen
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Abstract

This paper focuses on the developing of high-dimensional risk models to construct portfolios of securities in the US stock exchange. Investors seek to gain the highest profits and lowest risk in capital markets. We have developed various risk models and for each model different investment strategies are tested. Out of sample tests are performed on a long-term horizon from 1970 until 2023.
通过各种风险模型实现量化投资多样化战略
本文主要研究如何开发高维风险模型来构建美国证券交易所的证券投资组合。投资者寻求在资本市场上获得最高利润和最低风险。我们开发了各种风险模型,并对每个模型的不同投资策略进行了测试。在 1970 年至 2023 年的长期范围内进行了样本外测试。
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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