Modern Portfolio Theory : Python for Finance 8

Опубликовано: 07 Октябрь 2021
на канале: Derek Banas
9,941
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In this video I'll show you how to search the whole stock market to make portfolios that maximize return while minimizing risk using The Modern Portfolio Theory!

I'll do that using a combination of the Markowitz Portfolio Optimization technique with the Sharpe Ratio. This one video will take your Investment Portfolio Management knowledge to a High Level!

Modern Portfolio Theory was pioneered by Harry Markowitz, who went on to win a Nobel Prize for its discovery. The Modern Portfolio Theory can be used to maximize return within an acceptable level of risk.

I will be using Python and Multiple Data Science libraries in this tutorial. We will be covering the following :

✳️ Markowitz Portfolio Optimization
✳️ Efficient Frontier
✳️ Modern Portfolio Theory
✳️ Creating 10,000 Random Portfolios
✳️ The Sharpe Ratio
✳️ Optimizing Portfolio Weighting
✳️ Covariance
✳️ Correlation
✳️ So much more

Files Are Here : https://github.com/derekbanas/Python4...
Stock Data is Here : https://1drv.ms/u/s!AjbW63mlCQM75ljTN...

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THIS IS NOT INVESTMENT ADVICE
I'm not implying that investing this way will guarantee anything. All investing is risky and you should always take advice from someone who can assess your specific situation. THIS IS FOR EDUCATIONAL PURPOSES ONLY!

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#PythonForFinance #DataScience #Python

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