Measure and understand significant changes in asset relationships over time.
Gain the foresight over market dynamics and stay ahead of the curve with proactive adaptation.
Linear models may not capture the complexity of global markets. Zonthur’s approach combines network analytics with Graph Neural Networks (GNNs) to provide more accurate forecasts of macroeconomic trends. By modeling the interdependencies between macroeconomic indicators and market behavior, you can develop forward-looking strategies that are better aligned with future scenarios.
You can visualize how changes in interest rates might influence equity markets, bond yields, and currency valuations across different regions.
Zonthur has mapped out the relationships between various macroeconomic indicators and assets so you can identify which factors are driving market behavior and how these relationships evolve over time.
You can identify subtle shifts in relationships between assets and macroeconomic indicators. For example, you might notice that commodity prices are starting to decouple from currency values in certain regions, signaling potential changes in trade flows or economic policy.
Zonthur uses Complex Adaptive Systems (CAS) modeling to simulate how markets might respond to emerging macroeconomic trends. With this approach, you can explore a range of potential scenarios and anticipate how different factors—such as changes in monetary policy or global supply chain disruptions—might impact your portfolio.
Zonthur allows you to create and analyze multiple scenarios based on different macroeconomic assumptions.
Whether you’re preparing for a possible interest rate hike, anticipating a shift in global trade policies, or considering the effects of climate change on commodity markets, we provide you with tools to simulate these scenarios and evaluate their potential impact on your portfolio.
Learn how to better navigate macroeconomic structures with our networking temporal graph by scheduling a demo with one of our specialists.
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