Python for Finance: Low Risk Investment Options - Part 3
Offered By: Derek Banas via YouTube
Course Description
Overview
Explore Python for finance in this comprehensive 42-minute video tutorial covering low-risk investment options. Learn to find stock correlation, minimize portfolio risk, and master Pandas tricks. Dive into covariance, portfolio variance, correlation matrices, and calculating return on investment. Discover how to use the coefficient of variation and perform calculations between defined timeframes. Access provided code and stock data to practice alongside the instructor. Gain valuable insights into financial analysis using Python, including techniques for assessing investment risk and optimizing portfolios.
Syllabus
Intro
Github
Start Dates
Get Valid Dates
Return on Investment
Mean and Standard Deviation
coefficient of variation
testing
creating data frames
finding the best stocks
merging multiple stocks
correlation matrix
variance
covariance
why we care about risk
portfolio variance
Taught by
Derek Banas
Related Courses
Probability Foundations for Electrical EngineersIndian Institute of Technology Madras via Swayam Portfolio Optimization: Excel, R, Python & ChatGPT
Udemy Оптимизация портфеля с помощью модели Марковица
Coursera Project Network via Coursera Excel 2007: Business Statistics
LinkedIn Learning Probabilistic Systems Analysis and Applied Probability
Massachusetts Institute of Technology via MIT OpenCourseWare