Cross-Border Restrictions in the Age of Geopolitical Tensions: What Seven Decades of Data Tell Us

Why It Matters

The dataset offers policymakers and researchers a granular tool to assess how capital‑flow controls evolve under geopolitical stress, informing debates on financial fragmentation and macro‑prudential strategy.

Key Takeaways

• AI extracts daily cross‑border restriction data since 1950.
• Liberalisation shows stop‑go pattern, not steady decline.
• High‑income nations liberalise earlier; low‑income stay restrictive.
• Outflow controls ease faster than inflow controls.
• Restrictions spike in crises and election years.

Pulse Analysis

The IMF’s Annual Report on Exchange Arrangements and Exchange Restrictions (AREAER) has long been a treasure trove of narrative policy information, but its sheer volume—over 14 million words—made systematic analysis impractical. By fine‑tuning a domain‑specific large language model on manually labelled passages, researchers transformed this unstructured archive into two high‑frequency indices: iBoP‑C, which tracks daily changes in restriction tightness, and iBoP‑S, which captures the annual stance of each country. This methodological leap not only reduces manual coding costs but also delivers a consistent, comparable measure across 75 years and all IMF members.

The resulting data overturns the conventional view of a linear march toward financial openness. Instead, the iBoP‑C series shows periods of tightening around the Bretton Woods collapse, followed by a gradual liberalisation from the mid‑1980s, punctuated by occasional reversals. High‑income economies lead the liberalisation wave, shedding both quantity‑based quotas and administrative hurdles, while low‑income nations remain constrained, especially through current‑account tools. Notably, outflow controls—often deployed as crisis‑management levers—have been relaxed more rapidly than inflow controls, reflecting their role in averting capital flight during stress episodes.

These insights carry immediate policy relevance. The high‑frequency nature of the indices uncovers clustering of measures, with roughly 35 % of actions occurring on the same day, and a doubling of restriction events in crisis years. Political‑economy analysis further links higher restriction use to weaker institutions and election cycles, suggesting opportunistic macro‑prudential adjustments. As debates over de‑globalisation, sanctions, and financial fragmentation intensify, the iBoP measures provide a robust empirical foundation for evaluating the effectiveness and spillover effects of capital‑flow controls. Researchers can now revisit classic questions about welfare impacts and cross‑border spillovers with unprecedented detail.