Recent debates have highlighted the trade-offs between maintaining openness to foreign capital and safeguarding macroeconomic and financial stability, but measuring the level of capital account openness is not straightforward. Existing indicators largely treat capital controls as binary classifications, overlooking the incremental nature of policy changes and their varying intensity. This column introduces a new index constructed using both detailed narratives on policy stance and information on policy measures to measure the intensity of capital account openness across 193 countries over 1996–2022. By providing a more granular measure, the index offers a richer foundation for analysing capital flow management and its macroeconomic implications.
How should policymakers manage capital flows in an increasingly volatile global financial environment? Recent debates have highlighted the trade-offs between maintaining openness to foreign capital and safeguarding macroeconomic and financial stability. A central challenge in this debate is measurement: without a clear and comparable way to quantify capital account policies, it is difficult to assess how countries use capital flow management (CFM) tools and how effective these policies are. However, measuring the level of capital account openness is not straightforward. Capital flow management operates through various instruments and dimensions across residents and nonresidents, inflows and outflows, and different asset classes. This makes it difficult to summarise the overall policy stance with a single indicator and has long complicated cross-country comparisons. Recent work has begun to address this gap by exploiting richer information on cross-border restrictions (e.g. Bergant et al. 2026, Baba et al. 2026). This column contributes by focusing on the intensity of openness, providing a more nuanced measure of how restrictive capital account policies are in practice.
Traditional measures of capital account openness, such as the Chinn–Ito index and the FKRSU index, are constructed using information from the IMF’s Annual Report on Exchange Arrangements and Exchange Restrictions (henceforth, AREAER). The AREAER classifies external sector regulations into categories and Chinn and Ito (2006) and Uribe et al. (2015) assign binary indicators to denote whether restrictions are present. These binary labels related to capital transactions are then aggregated into a summary index. This approach has the advantage of providing a simple and transparent framework that is widely available and easily comparable across countries.
However, this simplicity comes at a cost. Binary indicators distinguish between the presence and absence of restrictions, but not their intensity. As long as related categories remain classified as restricted, changes in the intensity of controls are not reflected in the index. As a result, countries that liberalize incrementally may appear unchanged over time. They also compress substantial cross-country heterogeneity. Despite large differences in policy restrictiveness, many EMDEs operating within partially liberalized regimes are assigned identical index values.
To address these limitations, the new FinOpen index measures the intensity of capital account openness. The index is constructed using both detailed narratives on policy stance and information on policy measures from the AREAER and IMF taxonomy. The key idea is to combine these two sources: narratives are used to assign a level of capital openness along a five-point scale, while policy measures are used to track changes moving across these levels. As a result, each change in FinOpen is grounded in observable policy actions. By linking these two elements, the index captures both the level of openness and its gradual adjustment, allowing for differences in the intensity of policy changes.
Figure 1 revisits the example of China. Over the past two decades, China has liberalized its capital account gradually through a sequence of targeted measures, such as simplifying administrative procedures and expanding cross-border market access channels, often via Hong Kong, that allow foreign investors to participate in domestic capital markets. While these incremental changes are not reflected in binary measures, FinOpen captures the steady increase in openness over time.
Figure 1 China capital openness
Figure 2 illustrates how FinOpen differentiates across countries. While the Chinn–Ito index assigns the same value to countries such as Brazil and Ethiopia, FinOpen reveals their substantial difference in practice. Brazil has a structurally open capital account, and policy tools such as the IOF tax on inflows have been removed by 2022. In contrast, Ethiopia maintains a highly restrictive regime, with tight foreign exchange controls and severely limited capital flows. Therefore, binary labels provide limited information on the degree of capital control within partially liberalised regimes. By collapsing these differences into binary classifications, traditional measures obscure meaningful variation in policy stance.
Figure 2 Capital openness in 2022
FinOpen goes beyond an aggregate index, offering a more granular view of openness across different types of capital flows. For each asset category (FDI, portfolio equity, portfolio debt, and other investment), there are three subindexes on nonresidents’ inflows, nonresidents’ outflows, and residents’ outflows. There is no separate index for residents’ inflows, as policies typically do not restrict the repatriation of capital; measures such as surrender requirements are treated as controls on residents’ outflows. This structure aligns closely with the classification of capital flows under BPM6, facilitating a more granular policy analysis across different types of flows.
Overall, FinOpen has three advantages. First, it measures the intensity of capital controls beyond binary labels. At the same time, it preserves comparability across countries, addressing the limitations highlighted in Figures 1 and 2. Second, the index is constructed at daily frequency, as AREAER records policy measures with announcement dates. This allows it to be linked with other macro-financial data to study the within-year policy dynamics. Third, its subindexes provide a more granular view of capital flow management, enabling analysis of how policies differ across types of flows and the strategies underlying their use.
FinOpen reveals that capital flow management is far from uniform. First, policies differ significantly across types of flows. In Figure 3, Panel (a) shows that nonresidents’ outflows are the most liberalised, followed by nonresidents’ inflows, while residents’ outflows remain the most restricted. This pattern suggests that when authorities impose controls on foreign capital, they primarily target inflows. Restrictions on nonresidents’ outflows are limited and are typically activated only during periods of financial stress. By contrast, controls on residents’ outflows are more stringent, reflecting concerns over capital flight.
Second, the frequency of policy measures varies widely across countries. Panel (b) shows that most EMDEs adjust capital controls infrequently, while countries, such as India and Argentina, are much more active users. Among countries that frequently adjust policies, management styles can also be different. Panels (c) and (d) contrast India and Argentina: India tends to adjust policies gradually through lower-intensity measures, whereas Argentina relies on higher-intensity interventions, leading to sharper swings in openness.
Figure 3 Heterogeneity in capital flow management: across flows, countries, and time
Why does this heterogeneity matter? Capital flows bring important benefits but also expose countries to volatility and sudden stops. This creates a policy trade-off: how to reap the gains from openness while containing risks. In practice, policymakers often address this trade-off by targeting specific types of flows rather than applying uniform restrictions. The stylised facts presented here suggest that such differentiated approaches are widespread. This highlights the limits of aggregate measures of capital controls and underscores the value of more granular indicators.
Capital controls matter more than commonly assumed, not simply because they exist, but because their intensity shapes economic outcomes. By moving beyond binary classifications, FinOpen reveals how policymakers actively manage capital flows across instruments and over time. This more granular measurement opens the door to a deeper understanding of the macroeconomic effects of capital controls. Recognising that intensity matters is therefore key for both empirical analysis and effective policy design.
Source : VOXeu
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