In this project, we will use Python to perform stocks analysis such as calculating stock beta and expected returns using the Capital Asset Pricing Model (CAPM). CAPM is one of the most important models in Finance and it describes the relationship between the expected return and risk of securities. We will analyze the performance of several companies such as Facebook, Netflix, Twitter and AT&T over the past 7 years. This project is crucial for investors who want to properly manage their portfolios, calculate expected returns, risks, visualize datasets, find useful patterns, and gain valuable insights. This project could be practically used for analyzing company stocks, indices or currencies and performance of portfolio.
Python for Finance: Beta and Capital Asset Pricing Model
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Python for Finance: Beta and Capital Asset Pricing Model
Instructor: Ryan Ahmed
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4.5
(44 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Understand the theory and intuition behind the Capital Asset Pricing Model (CAPM)
Calculate Beta and expected returns of securities in python
Perform interactive data visualization using Plotly Express
Skills you'll practice
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Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Understand the intuition behind Beta and the Capital Asset Pricing Model (CAPM)
Import datasets, libraries and perform exploratory data analysis
Perform Data Scaling/Normalization
Perform interactive data visualization
Develop a function to calculate daily returns
Calculate beta for individual security
Apply CAPM to individual Security
Calculate Beta for the entire stocks in the portfolio
Recommended experience
Basic python programming and mathematics.
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Instructor
Instructor ratings
4.9 (8 ratings)Offered by
How you'll learn
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Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
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Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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