Principal Component Analysis As A Factor Model

Photo by the author Introduction Principal component analysis (PCA) is a statistical technique which enjoys applications in image processing and quantitative finance. In this article, we focus on the later application in quantitative trading, in particular using PCA as a multi-factor model of portfolio returns. We use the multi-factor model to design a momentum trading … Continue reading Principal Component Analysis As A Factor Model

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