Adapting cross-asset forecast models amid market shocks.
Trader TV This Week – As market volatility and geopolitical uncertainty challenge traditional forecasting approaches, investment managers are adapting cross-asset models to better distinguish short-term market noise from fundamental shifts. Speaking to Trader TV,
Rushabh Amin, senior portfolio manager, multi-asset, at Allspring Global Investments, discusses his firm’s methods for combining quantitative signals across variable time horizons with fundamental analysis, helping to assess macro conditions, identify potential market mispricing, and build greater conviction in investment decisions. He also looks at where market shocks tend to emerge first, the role of human judgement in adapting models, and the top macro signals to monitor over the next 12 months, including the AI trade.
In this episode:
📌 How are buy sides adapting forecast models in volatile markets?
📌 How to identify signal from noise?
📌 Where does human judgement play the biggest role?
📌 What markets do shocks show up first?
📌 What are the top macro signals to monitor over the next 12 months?
[This post was first published on Trader TV]
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