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Hands-on Python for Finance
Python Programming Primer
The Course Overview (2:58)
Installing the Anaconda Platform (3:34)
Launching the Python Environment (6:47)
String and Number Objects (12:45)
Python Lists (5:22)
Python Dictionaries (Dicts) (4:34)
Repetition in Python (For Loops) (8:37)
Branching Logic in Python (If Blocks) (8:04)
Introduction to Functions in Python (8:21)
The Python Data Environment
Introduction to NumPy Arrays (9:24)
NumPy – A Deeper Dive (9:17)
Pandas – Part I (9:52)
Pandas – Part II (10:02)
Introduction to Scipy.stats (11:38)
Matplotlib – Part I (8:07)
Matplotlib – Part II (16:33)
Time Value of Money
Present Value of a Stream of Cash Flows (7:05)
Future Value of Single and Multiple Cash Flows (12:55)
Net Present Value of a Project (5:39)
Internal Rate of Return (3:32)
Introduction to Amortization (8:44)
Creating an Amortization Application (8:58)
Time Series Evaluation and Forecasting
Opening and Reading a .CSV File (8:54)
Getting and Evaluating Data (12:40)
Moving Average Forecasting (9:19)
Forecasting with Single Exponential Smoothing (10:47)
Creating and Testing a Simple Trading System (7:50)
Linear Models, Correlation, and Valuation
Valuing Securities with Pricing Models (12:11)
Finding Correlations Between Securities (10:36)
Linear Regression (13:22)
Calculating Beta and Expected Return (8:30)
Constructing Portfolios Along the Efficient Frontier (11:54)
Build a Monte Carlo Simulation App
Introduction to Monte Carlo (8:09)
Monte Carlo Simulation (12:11)
Using Monte Carlo Technique to Calculate Value at Risk (10:40)
Putting It All Together – Monte Simulation Application (5:12)
Introduction to Monte Carlo
In this video, compare deterministic ending values with probabilistic ending values of a portfolio.
Calculate table of ending values
Calculate table of ending values based on probability distribution
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