Forecasting Political Risk: A Comparative Analysis of Time Series Prediction Methods

Forecasting Political Risk: A Comparative Analysis of Time Series Prediction Methods

Stabilarity Research

Predicting political risk is fundamentally different from economic forecasting. This article opens the Geopolitical Risk Intelligence series examining ARIMA(2,1,2), Holt-Winters exponential smoothing, and Polynomial Ridge Regression applied to World Bank Governance Indicators. The core argument: no single forecasting method is adequate for political risk modelling — hybrid architectures with anomaly detection are required....


Read full article: https://hub.stabilarity.com/?p=1032


Published by Stabilarity Research Hub

Report Page