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financial-modeling

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A collection of Jupyter notebooks analysing and forecasting natural gas prices, calculating the value of gas storage contracts, predicting mortgage defaults using FICO score binning and building machine learning models for loan default risk assessment.

  • Updated Jun 30, 2024
  • Jupyter Notebook

A Python program for optimizing investments over a defined period, taking into account various parameters such as initial investment, duration, savings rate, dynamics, interest rate, and costs. The program provides both tabular and graphical representation of the investment's development, along with a detailed analysis of the results.

  • Updated Jun 8, 2024
  • Python

Forecasting Ethereum return quantiles using a handful of different statistical learning models and selecting the best based on out of sample error. Hopsworks feature store and model registry is used to automate the process. Ethereum quantile returns are predicted daily and displayed on a Streamlit dashboard.

  • Updated May 20, 2024
  • Jupyter Notebook

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