Analyzing Stock Returns with Principal Component Analysis in Python

Analyzing Stock Returns with Principal Component Analysis in Python

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Analyzing Stock Returns with Principal Component Analysis in Python
🚀 Master Quantitative Skills with Quant Guild: https://quantguild.com Join the Quant Guild Discord server here: https://discord.com/invite/MJ4FU2c6c3 Solve Our Monthly Promo Question for 35% Off Lifetime Membership! https://www.youtube.com/channel/UCW1svfGxG4ADnbc1HCH6dqA/community?lb=UgkxxLx6NPeTssE9sGNBLUnLiz8Y5i_UyJmR ___________________________________________ Jupyter Notebook: https://github.com/romanmichaelpaolucci/PCA-Stock-Returns The following video explains the components of stock risk in the context of quantitative investing that we've identified as our first three principal components: https://youtu.be/aBfkf_0YsCY ___________________________________________ Articles and code walkthroughs can be found on our blog https://medium.com/quant-guild https://quantguild.medium.com/ For more free tutorials and references see our GitHub https://github.com/RomanMichaelPaolucci https://github.com/Quant-Guild