id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-31621	Tian, Ruixuan	Research on House Price Forecasting in Guiyang City Based on ARIMA and GARCH Models	2025	7	.pdf	application/pdf	4483	227	58	Abstract: The purpose of this study is to forecast and analyze the house price of Guiyang city through ARIMA model and GARCH model, in order to improve the accuracy and reliability of house price prediction, and to provide references for real estate market analysis and policy formulation. This study will use the average residential transaction price data of Guiyang city from 2019 to 2024 to firstly analyze the smoothness and autocorrelation of the house price data by ARIMA model to capture the trend and seasonal changes in the time series; secondly, analyze the volatility of house price by GARCH model to capture the conditional heteroskedasticity phenomenon in the market.	cache/fcis-31621.pdf	txt/fcis-31621.txt