Abdulrazak-Abdulsamad/The-Effect-of-Cryptocurrency-on-Nigeria-s-Economy-The-Role-of-Stablecoins-in-Inflation-Hedging

# The Effect of Cryptocurrency on Nigerias Economy (The Role of Stablecoins in Inflation Hedging) ## Project Overview This project investigates whether stablecoins can serve as a practical hedge against inflation, particularly in economies experiencing currency depreciation, exchange-rate instability, and rising inflationary pressure. The research combines economic analysis, financial data science, and machine learning techniques to explore the relationship between macroeconomic instability and stablecoin adoption trends. The study focuses on understanding how inflation, foreign exchange volatility, and economic uncertainty may influence the growth and adoption of stablecoins such as USDT. By integrating macroeconomic indicators with cryptocurrency market data, the project aims to provide data-driven insights into the evolving role of digital dollar substitutes in inflation-sensitive economies. --- # Research Objective The primary objective of this project is to analyze whether stablecoins behave as inflation-hedging instruments during periods of economic instability. The project specifically explores: * The relationship between inflation and stablecoin adoption * The impact of exchange-rate volatility on stablecoin usage * The role of currency depreciation in driving digital asset adoption * Predictive modeling of stablecoin market behavior using machine learning --- # Research Questions This project attempts to answer the following key questions: 1. Does rising inflation lead to increased stablecoin adoption? 2. Can stablecoins function as digital stores of value during economic instability? 3. How strongly do macroeconomic indicators influence stablecoin market growth? 4. Which economic variables are most predictive of stablecoin adoption trends? --- # Technologies & Libraries Used ## Programming Language * Python ## Data Analysis & Manipulation * Pandas * NumPy ## Data Visualization * Matplotlib * Seaborn ## Machine Learning * Scikit-learn …