China (People’s Republic of) vs Mongolia: Predetermined short-term net drains on foreign currency assets

China (People’s Republic of)
0
in 2025
Mongolia
0
in 2025
China (People’s Republic of) rank
1st
Mongolia rank
1st

Predetermined short-term net drains on foreign currency assets over time

  • China (People’s Republic of)
  • Mongolia
-50.0B-40.0B-30.0B-20.0B-10.0B0201620202025

How they compare

China (People’s Republic of) currently reports 0 against 0 in Mongolia, a difference of 0.

The two have swapped places 1 time across 7 shared years of data; in 2019 it was China (People’s Republic of) ahead.

China (People’s Republic of) ranks 1st and Mongolia ranks 1st of 60 countries.

China (People’s Republic of) has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade China (People’s Republic of) Mongolia Difference Ahead
2010s 0 -599.81 million 599.81 million China (People’s Republic of)
2020s 0 -58.35 million 58.35 million China (People’s Republic of)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher predetermined short-term net drains on foreign currency assets, China (People’s Republic of) or Mongolia?
China (People’s Republic of), at 0 against 0 in Mongolia as of 2025.
What is the difference in predetermined short-term net drains on foreign currency assets between China (People’s Republic of) and Mongolia?
0, with China (People’s Republic of) ahead.
How many years of comparable data are there for China (People’s Republic of) and Mongolia?
7 years are reported by both, from 2019 to 2025.
How do China (People’s Republic of) and Mongolia rank globally for predetermined short-term net drains on foreign currency assets?
China (People’s Republic of) ranks 1st and Mongolia ranks 1st of 60 countries.
Where does this data come from?
International Monetary Fund, published as Predetermined short-term net drains on foreign currency assets (nominal value), Total forwards and futures in foreign currencies vis 㣠vis the domestic currency (including the forward leg of currency swaps), Short positions (International Reserves and Foreign Currency Liquidity: Guidelines for a Da. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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China (People’s Republic of) vs Mongolia: Predetermined short-term net drains on foreign currency assets. Statizoid, drawing on International Monetary Fund. Retrieved 22 August 2026, from https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-total-4/china/mongolia/

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<a href="https://financial-sector.statizoid.com/compare/predetermined-short-term-net-drains-on-foreign-currency-assets-nominal-value-total-4/china/mongolia/">China (People’s Republic of) vs Mongolia: Predetermined short-term net drains on foreign currency assets</a> — Statizoid

About this data

Indicator
Predetermined short-term net drains on foreign currency assets (nominal value), Total forwards and futures in foreign currencies vis 㣠vis the domestic currency (including the forward leg of currency swaps), Short positions (International Reserves and Foreign Currency Liquidity: Guidelines for a Da
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
62 places, 1,161 data points, 1999–2025
Last refreshed

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.