Leveraging High‑Dimensional Machine Learning to Navigate US‑China Financial Ties
Research preview
The recent declaration by Chinese leadership that the United States should be a partner rather than a rival highlights the importance of robust, data‑driven analysis for investors operating across these economies. Modern quantitative tools—particularly high‑dimensional regression, regularisation, and debiased machine learning—provide a systematic way to extract signal from the massive streams of macro‑economic, policy, and market data that underlie cross‑border capital flows. Why High‑Dimensional Models Matter for Geopolitical Themes Financial markets now incorporate thousands of observable variables: trade balances, tariff rates, sentiment indices, commodity inventories, and real‑time news sentiment....
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