Investment Analysis : Python for Finance 9
181In this video I'll focus on Investment Analysis! We take will calculate Alpha and Beta for individual and portfolios of stocks. We'll also talk about the Capital Asset Pricing Model, Expected Returns, the Sharpe Ratio and much more.
Not only will you understand Investment Analysis, but I'll build all the software needed to perform it in this video. All of the code is available down below for free on Github.
I will be using Python and Multiple Data Science libraries in this tutorial to perform investment analysis. We will be covering the following :
✳️ Calculating Beta
✳️ Calculating Alpha
✳️ Capital Asset Pricing Model (CAPM)
✳️ Calculating Expected Return
✳️ The Sharpe Ratio
✳️ Return on Investment
✳️ Outperforming the Market
✳️ Equity Risk Premium
✳️ Systematic Risk
✳️ Idiosyncratic Risk
✳️ So much more
Files Are Here : https://github.com/derekbanas/Python4Finance
Stock Data is Here : https://1drv.ms/u/s!AjbW63mlCQM75ljTNHq_LsD1fpkY?e=flBn5u
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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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Install for MacOS : https://youtu.be/2JeoNlCcLOM
NumPy in One Video : https://youtu.be/8Y0qQEh7dJg
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Probability in One Video : https://youtu.be/sEte4hXEgJ8
Statistics in One Video : https://youtu.be/tcusIOfI_GM
Algebra : https://youtu.be/B_WCI_A944E
Linear Algebra : https://youtu.be/6GnzRGJsI3Q
#PythonForFinance #DataScience #Python
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