Investment Analysis & Portfolio Management (with Python)
https://FreeCryptoLearn.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.24 GB | Duration: 9h 5m
Financial Analysis Done Right - Rigorously Analyse Investments & Manage Portfolios using Python for Finance / Investing
What you'll learn
Calculate stock returns manually as well as on Python, using real world data obtained from free sources.
Extensively work with a variety of Python libraries including Pandas, NumPy, SciPy, Matplotlib, to name a few.
Understand why the math works, and what the equations mean - even if your math is weak and if math freaks you out.
Witness the power of diversification and how the risk of your portfolio can be lower than the individual assets that make up the portfolio!
Estimate the Expected Returns of Stocks using the Mean Method, State Contingent Weighted Probabilities, as well as Asset Pricing Models.
Calculate the total risk, market risk, and firm specific risk of stocks from scratch, and explore how the different risks interact.
Measure your investment portfolio's performance by calculating portfolio returns and risks.
Optimise your portfolios by maximising your returns while minimising your risk.
Create custom functions to automate your Investment Analysis & Portfolio Management techniques, leveraging the power of Python.
Explore computations from scratch, so you understand how Python works behind the scenes.
Requirements
Coding knowledge is REQUIRED. You don't need to be an 'expert' in Python, but you DO need to know how to code.
At a minimum, we assume you know what lists, dictionaries, and tuples are; and you know the difference between strings, integers, and floats.
This is a Finance course which uses Python. It is NOT a Python course about Finance.
No prior knowledge of Finance is required nor assumed.
It's okay if math freaks you out. Seriously. Every single equation is explained one variable at a time. We rip it apart to its core, and show you how simple it really is.
Knowledge of basic statistical analysis is useful but NOT essential.
You'll need a calculator, pen and paper (seriously), and your development environment (e.g. Jupyter Notebooks, Text Editors)
We work with Jupyter Notebooks in the course, but .py versions of all Python code is available for download.
Description
Say hello to Financial Analysis done right. Become a PRO at Investment Analysis & Portfolio Management with Python. Apply robust techniques that are rigorously grounded in academic and practitioner literature using Python for Finance.
