Volatility analysis quantifies asset price variation, critical for risk management, option valuation, and portfolio optimization. For Apple Inc., volatility is driven by investor sentiment, economic fundamentals, and external shocks. This study focuses on classical ARCH/GARCH and Bayesian SV models to analyze Apple’s daily volatility dynamics.

The data for this clustering analysis is collected from the internet. The data is collected from Kaggle with the link https://www.kaggle.com/datasets/airbnb/seattle?select=reviews.csv the data contain three files and the data is sourced from http://insideairbnb.com/about/ People have used Airbnb to travel since 2008 and they have used it in unique ways. The data is published periodically, the period in review has data of three files and one hundred and two columns.

This analysis explores how the users of bike-sharing services use the services in different scenarios.