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.
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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
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69.8K
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Likes
3.7K
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Duration
9:01
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Published
Aug 17, 2023
Release date
Quality
hd
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#programming #coding #finance #computational finance #risk and return #stocks #etf #software #engineering #software engineering #code #numpy #pandas #matplotlib #drawdowns #wealth index #max drawdown #dataframe #computer science #python #vectors #data structures #returns #stock market #option #options #math #factors #asset #asset pricing #asset management #preformance attribution #data science #statistics #quant #quant finance #quantitative finance #python explained #finance python #data visualization
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