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1
Intro
2
Github
3
Start Dates
4
Get Valid Dates
5
Return on Investment
6
Mean and Standard Deviation
7
coefficient of variation
8
testing
9
creating data frames
10
finding the best stocks
11
merging multiple stocks
12
correlation matrix
13
variance
14
covariance
15
why we care about risk
16
portfolio variance
Description:
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.

Python for Finance: Low Risk Investment Options - Part 3

Derek Banas
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