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Investment Analysis: Python for Finance - Part 9

Derek Banas via YouTube

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Overview

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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.

Syllabus

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

Taught by

Derek Banas

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Investment Analysis: Python for Finance - Part 9

  • GEORGETA MIRELA IORDACHE
    Investment Analysis: Python for Finance was a useful and practical course that introduced how Python can be applied to real financial problems. The course explained key concepts such as data analysis, returns, and risk in a way that was accessible even for learners with limited programming experience. The hands-on examples helped link theory to practice, particularly in understanding how financial data can be analysed and visualised using Python. At times, the pace felt slightly fast for beginners, and a few more step-by-step explanations would have been helpful. Overall, the course provided a strong foundation and increased my confidence in using Python for investment analysis.
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