Evolution of Statistical Methods in Financial Time Series Analysis: An Empirical Analysis from ARIMA to the GARCH Family of Models
Financial time series analysis is one of the key tools for asset pricing and forecasting, and its statistical methods have been continuously developing according to market demand. In the early days, the ARIMA model had great advantages in macro data analysis through its assumptions of linearity, homoscedasticity, and s...