Highlights
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Python-for-Data-Science-Insper
Python-for-Data-Science-Insper PublicProject developed for the Python for Data Science class at Insper.
Jupyter Notebook
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Finance-II-Insper
Finance-II-Insper PublicCode written by Arthur Wachslicht and Pedro Osorio for the Finance II course project at Insper. Topics are mainly related to efficient Markowitz frontier for optimal asset allocation.
Jupyter Notebook
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Finance-III-Insper
Finance-III-Insper PublicCode written to implement some of the models seen in the Finance III class at Insper. Topics such as Black & Scholes for option pricing and Flat-forward interpolation of Yield Curves were covered.
Jupyter Notebook
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Predictive-Modeling-Insper
Predictive-Modeling-Insper PublicFinal project developed for the Predictive Modeling class at Insper. The work consists of a detailed explanation and implementation of a few artificial intelligence algorithms (Regression Trees, De…
R
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PyFinLib
PyFinLib PublicPyFinLib is being designed to become in the future a library for the implementation of common finance tools, mainly related to portfolio optimization, backtesting and risk management
Jupyter Notebook
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