https://github.com/kshula/optimize-monetary-policy

optimize-monetary-policy app with machine learning and simulation
https://github.com/kshula/optimize-monetary-policy

Last synced: 3 months ago
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optimize-monetary-policy app with machine learning and simulation

• Host: GitHub
• URL: https://github.com/kshula/optimize-monetary-policy
• Owner: kshula
• Created: 2024-05-31T19:31:23.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-31T20:13:13.000Z (about 2 years ago)
• Last Synced: 2024-06-01T21:20:03.037Z (about 2 years ago)
• Language: Python
• Size: 249 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

          
# Monetary Policy Optimization and 

![alt text](images/monetary.png)

This app enables users to optimize monetary policy and simulate its effects using machine learning and simulation techniques.

## Description

The app loads historical economic data, including interest rates, exchange rates, and inflation rates. It uses this data to train machine learning models, specifically Random Forest regressors, to estimate the relationships between various economic factors. Users can then adjust the weights assigned to different factors in the objective function to optimize monetary policy according to their preferences. The app also provides a simulation feature that allows users to simulate the effects of their chosen policy over time.

## Features

Data Loading: Loads historical economic data from a CSV file.

Visualization: Visualizes inflation rates over time using Plotly.

Model Training: Trains Random Forest regressors to estimate relationships between economic factors.

Optimization: Allows users to optimize monetary policy by adjusting weights for different factors in the objective function.

Simulation: Provides a simulation feature to visualize the effects of the chosen policy over time.