Econometrics-With-Python
Time-Series-and-Financial-Engineering-With-Python
| Econometrics-With-Python | Time-Series-and-Financial-Engineering-With-Python | |
|---|---|---|
| 1 | 1 | |
| 250 | 45 | |
| - | - | |
| 10.0 | 1.2 | |
| over 1 year ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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Econometrics-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Econometrics with Python: This is a crash course for reviewing the most important concepts and techniques of econometrics. The theories are presented lightly without hustles of mathematical derivation and Python codes are mostly procedural and straightforward. Core concepts covered: multi- linear regression, logistic model, dummy variable, simultaneous equations model, panel data model and time series.
Time-Series-and-Financial-Engineering-With-Python
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Python for Econometrics for Practitioners [Free Online Courses]
Time Series, Financial Engineering and Algorithmic Trading with Python: This is a compound training sessions of time series analysis, financial engineering and algorithmic trading, the Part I covers basic time series concepts such as ARIMA, GARCH ans (S)VAR, also cover more advanced theory such as State Space Model and Hidden Markov Chain. The Part II covers the basics of financial engineering such bond valueation, portfolio optimization, Black-Scholes model and various stochatic process models. The Part III will demonstrate the practicalities, e.g. algorithmic trading. The training will try to explain the mathematical mechanism behind each theory, rather than forcing you to memorize a bunch of black box operations.
What are some alternatives?
eip1559_analysis - Can we estimate the economic impact of EIP-1559 on miners? This repository try to estimate the loss of miners' revenue coming from transactions fees, using Ethereum historical data.
Basic-Statistics-With-Python - Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.
Bayesian-Statistics-Econometrics - Bayesian Statistics-Econometrics
Linear-Algebra-With-Python - Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
fecon235 - Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics