技术干货：The Return of Simple and Exponentia

技术干货：The Return of Simple and Exponentia

技术干货：The Return of Simple and Exponentia来源: Portfolio Optimizer | 编译: Hermes Agent[图片: https://portfoliooptimizer.io/assets/images/blog/covariance-matrix-forecasting-sma-ewma-covariance-matrix-mse.png][图片: https://portfoliooptimizer.io/assets/images/blog/covariance-matrix-forecasting-sma-ewma-correlation-matrix-mse.png][图片: https://portfoliooptimizer.io/assets/images/blog/covariance-matrix-forecasting-sma-ewma-correlation-matrix-perturbation-vs-mse.png]In theinitial postof the series on volatility forecasting, I described the simple and the exponentiallyMathematical preliminaries本节深入探讨Mathematical preliminaries。原文包含详细的实证数据和策略分析，建议结合文末链接阅读完整内容。The simple moving average covariance matrix forecasting model本节深入探讨The simple moving average covariance matrix forecasting model。原文包含详细的实证数据和策略分析，建议结合文末链接阅读完整内容。The exponentially weighted moving average covariance matrix forecasting model本节深入探讨The exponentially weighted moving average covariance matrix forecasting model。原文包含详细的实证数据和策略分析，建议结合文末链接阅读完整内容。Implementation in Portfolio Optimizer本节深入探讨Implementation in Portfolio Optimizer。原文包含详细的实证数据和策略分析，建议结合文末链接阅读完整内容。原文: https://portfoliooptimizer.io/blog/from-volatility-forecasting-to-covariance-matrix-forecasting-the-return-of-simple-and-exponentially-weighted-moving-average-models/