Quantitative Finance with Python and Pandas: 50 Essential Concepts in 9 Minutes | Getting Started
An introductory video to computational and quantitative finance using Python, NumPy, Pandas, and Matplotlib, covering key concepts such as stochastic modeling and portfolio analysis.
Daniel Boctor
69.8K views • Aug 17, 2023
About this video
The first video in a Python, NumPy, Pandas, and Matplotlib based based computational / quant finance series, spanning from stochastic modelling and portfolio insurance, to asset pricing , factor regressions, data visualization, and everything in-between.
Source code - https://github.com/daniel-boctor/Daniel-Boctor-Youtube/blob/main/Finance101/finance.ipynb
0:00 - Intro
0:17 - Data Source
1:00 - Information Preparation
2:09 - Returns
4:18 - DataFrame
5:03 - Measures of Risk
5:18 - Annualization
6:31 - Raw Sharpe Ratio
6:52 - Wealth Index
7:37 - Drawdowns
8:45 - Outro
Source code - https://github.com/daniel-boctor/Daniel-Boctor-Youtube/blob/main/Finance101/finance.ipynb
0:00 - Intro
0:17 - Data Source
1:00 - Information Preparation
2:09 - Returns
4:18 - DataFrame
5:03 - Measures of Risk
5:18 - Annualization
6:31 - Raw Sharpe Ratio
6:52 - Wealth Index
7:37 - Drawdowns
8:45 - Outro
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Video Information
Views
69.8K
Likes
3.7K
Duration
9:01
Published
Aug 17, 2023
User Reviews
4.7
(13)