Investment Analysis: Python for Finance - Part 9

Dive into investment analysis with Python in this comprehensive 42-minute video tutorial. Learn to calculate Alpha and Beta for individual stocks and portfolios, understand the Capital Asset Pricing Model, determine Expected Returns, and explore the Sharpe Ratio. Build software to perform investment analysis using Python and multiple data science libraries. Cover key concepts such as Return on Investment, outperforming the market, Equity Risk Premium, Systematic Risk, and Idiosyncratic Risk. Follow along as the instructor demonstrates how to merge DataFrames, download financial data, find Beta, implement CAPM, calculate portfolio value, and create portfolio masks. Access free code and stock data through provided links to enhance your learning experience.

Intro
Merge DataFrame
Beta
Download Data
Find Beta
Capital Asset Pricing Model
Expected Return
Sharp Ratio
Portfolio Value
Daily Return
Portfolio Mask