# jrothschild33/Black-Litterman-Model

<https://repo.masters-masters.com/en/repos/jrothschild33/Black-Litterman-Model>

[Home](https://repo.masters-masters.com/en) › [jrothschild33](https://repo.masters-masters.com/en/owners/jrothschild33) › [Black-Litterman-Model](https://repo.masters-masters.com/en/repos/jrothschild33/Black-Litterman-Model)

jrothschild33/Black-Litterman-Model has 155 stars on GitHub. Its RepoMasters card: Prototype tier. 使用Python复现Black-Litterman模型。Black-Litterman模型创造性地采用贝叶斯方法将投资者…

| Field | Value |
| --- | --- |
| Owner | [jrothschild33](https://repo.masters-masters.com/en/owners/jrothschild33) |
| Stars | 155 |
| Forks | 49 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jrothschild33/Black-Litterman-Model](https://github.com/jrothschild33/Black-Litterman-Model) |

## Repository

使用Python复现Black-Litterman模型。Black-Litterman模型创造性地采用贝叶斯方法将投资者对预期收益的主观看法与资产的市场均衡收益相结合，有效地解决了Markowitz均值-方差模型中投资者难以准确估计各个投资品种预期收益率、以及其权重对预期收益率的极度敏感性这两大问题。本项目使用美国市场2009年-2019年十年间的10只股票数据进行回测，证明了合理观点对资产组合收益率具有显著的正面影响效果。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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