Predetermined short-term net drains on foreign currency assets in Malaysia
Malaysia: Predetermined short-term net drains on foreign currency assets was -12.14 billion in 2025. ◆ Volatile
Predetermined short-term net drains on foreign currency assets in Malaysia, 2000–2025
Source: International Monetary Fund.
Analysis
Malaysia recorded -12.14 billion for predetermined short-term net drains on foreign currency assets in 2025.
That represents a change of down 14.6% on the previous year and down 753.5% over ten years.
Over the whole period, predetermined short-term net drains on foreign currency assets in Malaysia peaked at -229.42 million in 2017 and was at its lowest, -16.94 billion, in 2022.
Malaysia ranks 75th of 86 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Predetermined short-term net drains on foreign currency assets in Malaysia, year by year
| Year | Value | Change |
|---|---|---|
| 2000 | -513.00 million | — |
| 2001 | -1.01 billion | +97.9% |
| 2002 | -1.75 billion | +72.9% |
| 2003 | -927.00 million | -47.2% |
| 2004 | -1.66 billion | +79.5% |
| 2005 | -1.66 billion | -0.5% |
| 2006 | -1.24 billion | -25.4% |
| 2007 | -878.00 million | -29.0% |
| 2008 | -2.05 billion | +133.1% |
| 2009 | -395.00 million | -80.7% |
| 2010 | -2.21 billion | +459.0% |
| 2011 | -343.00 million | -84.5% |
| 2012 | -349.10 million | +1.8% |
| 2013 | -344.68 million | -1.3% |
| 2014 | -1.47 billion | +327.9% |
| 2015 | -1.42 billion | -3.5% |
| 2016 | -247.55 million | -82.6% |
| 2017 | -229.42 million | -7.3% |
| 2018 | -3.44 billion | +1400.5% |
| 2019 | -4.18 billion | +21.4% |
| 2020 | -7.31 billion | +74.8% |
| 2021 | -4.87 billion | -33.3% |
| 2022 | -16.94 billion | +247.9% |
| 2023 | -14.60 billion | -13.8% |
| 2024 | -10.60 billion | -27.4% |
| 2025 | -12.14 billion | +14.6% |
Malaysia compared with similar countries
- Malaysia's -12.14 billion is below the median for upper middle income countries, which is -4.05 billion, 3.0× the median. (32 countries reporting)
- Malaysia's -12.14 billion is below the median for East Asia & Pacific, which is -7.08 billion, 1.7× the median. (9 countries reporting)
Biggest year-on-year movements
Years where Predetermined short-term net drains on foreign currency assets in Malaysia changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2018 | -1400.5% | -229.42 million | -3.44 billion |
| 2010 | -459.0% | -395.00 million | -2.21 billion |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -1.21 billion | -2.05 billion | -395.00 million | 10 |
| 2010s | -1.42 billion | -4.18 billion | -229.42 million | 10 |
| 2020s | -11.08 billion | -16.94 billion | -4.87 billion | 6 |
Countries ranked near Malaysia
More financial sector data for Malaysia
- Reserve position in the IMF, US dollar, annual growth rate 5.91 % change on previous year (2025)
- Reserve position in the IMF, US dollar, per unit of GDP 0.0027 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 35.78 units per person (2025)
- Reserve position in the IMF, SDR, annual growth rate 0.8573 % change on previous year (2025)
- Reserve position in the IMF, SDR, per unit of GDP 0.002 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 26.13 units per person (2025)
- Reserve tranche position, US dollar, annual growth rate 5.91 % change on previous year (2025)
- Reserve tranche position, US dollar, per unit of GDP 0.0027 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 35.78 units per person (2025)
- Reserve tranche position, SDR, annual growth rate 0.8573 % change on previous year (2025)
Frequently asked questions
- What is predetermined short-term net drains on foreign currency assets in Malaysia?
- Predetermined short-term net drains on foreign currency assets in Malaysia was -12.14 billion in 2025, according to International Monetary Fund.
- What is the highest predetermined short-term net drains on foreign currency assets recorded in Malaysia?
- The highest recorded value was -229.42 million in 2017.
- What is the lowest predetermined short-term net drains on foreign currency assets recorded in Malaysia?
- The lowest recorded value was -16.94 billion in 2022.
- How does Malaysia rank for predetermined short-term net drains on foreign currency assets?
- Malaysia ranks 75th out of 86 countries with data for 2025.
- Is predetermined short-term net drains on foreign currency assets rising or falling in Malaysia?
- Over the last ten years it is down 753.5%. The long-run trend across the full record is volatile.
- Where does this Malaysia data come from?
- The figures come from International Monetary Fund, published as part of Predetermined short-term net drains on foreign currency assets (nominal value), Total foreign currency loans securities and deposits (International Reserves and Foreign Currency Liquidity: Guidelines for a Data Template 2013 (IRFCL 2013), Monetary Authorities and Central Government excluding Social . Statizoid updates them automatically from the source API.
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About this data
The International Reserves and Foreign Currency Liquidity (IRFCL, or the “Reserves Data Template”) dataset includes data on the amount and composition of countries’ official reserve assets, other foreign currency assets held by monetary authorities and central governments, and short-term foreign currency obligations and related activities of monetary authorities and central governments that can lead to drains on official reserves and other foreign currency assets. This website re-disseminates IMF member countries' data on international reserves and foreign currency liquidity in a common template and in a common currency (the U.S. dollar). Historical data by country are also available. Please note that the re-dissemination of the template data by the Fund does not constitute endorsement of the quality of the data by the Fund.