01 - AI-Powered Early Warning Systems for Economic Crisis Prediction Using Outlier De...
http://dx.doi.org/10.31703/ger.2025(X-II).0110.31703/ger.2025(X-II).01 Published : Jun 2025
-
The current review addresses the integration of outlier detection, time series forecasting, and machine learning algorithms into the area of Early Warning Systems in the Artificial Intelligence (AI) based economic crisis prediction in the natural and environmental shock. The climate-related losses may have outliers in environmental economics because this type of loss is hard to forecast and appear... Details
-
Outlier Detection; AI-Powered Early Warning Systems; Economic Crisis Prediction; Machine Learning Algorithms; Time Series Forecasting
-
(1) Umm e Furwa
MPhil Scholar, Pakistan Institute of Development Economics (PIDE), Islamabad, Pakistan.
Volume X, Issue II (Spring 2025) 
Volume IX, Issue III (Summer 2024) 
Volume IX, Issue II (Spring 2024) 
Volume IX, Issue I (Winter 2024) 
Volume VIII, Issue IV (Fall 2023) 
Volume VIII, Issue III (Summer 2023) 
Volume VIII, Issue II (Spring 2023) 
Volume VIII, Issue I (Winter 2023) 
Volume VII, Issue IV (Fall 2022) 
Volume VII, Issue III (Summer 2022) 
Volume VII, Issue II (Spring 2022) 
Volume VII, Issue I (Winter 2022) 
Volume VI, Issue IV (Fall 2021) 
Volume VI, Issue III (Summer 2021) 
Volume VI, Issue II (Spring 2021) 
Volume VI, Issue I (Winter 2021) 
Volume , Issue ( )