Multiscale Topological Analysis of MSCI World Index for Graph Neural Network Modeling

This research explores a novel approach to analyzing financial time series data using advanced signal processing techniques and graph neural networks. The application of Empirical Mode Decomposition and graph transformation suggests a sophisticated understanding of complex financial market dynamics.

• •Applies Empirical Mode Decomposition to decompose time series data.
• •Utilizes graph transformation techniques for data representation.
• •Aims to build a Graph Neural Network model for financial data analysis.