Sovereign Funds: How the Communist Party of China Finances Its Global Ambitions
Zongyuan Zoe Liu
“A fascinating insight into the evolution of China’s financial policy and its strategic investments using leveraged foreign exchange reserves.” —Diane Coyle, Enlightened Economist “[Liu] shows that Chinese sovereign funds are so different from better-known sovereign wealth funds, such as those of the governments of Abu Dhabi and Norway, that she prefers to call them ‘sovereign leveraged funds’...These various exotic workarounds, which Liu skillfully traces, produce ‘shadow reserves.’” —Andrew J. Nathan, Foreign Affairs “Follow the money, find the politics...Liu shows how China pioneered a whole new class of sovereign wealth funds.” —Times of India One of the keys to China’s global rise has been its strategy of deploying sovereign wealth on behalf of state power. Since President Xi Jinping took office in 2013, China has doubled down on financial statecraft, making shrewd investments with the money it has made by leveraging its foreign exchange reserves. Sovereign Funds tells the story of how the Communist Party of China (CPC) became a global financier of surpassing ambition.
Award History
1 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PROSE Award for Business, Finance, and Management | 2024 | Winner | Official source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
- Xi Jinping72%
02 Central places
- China78%
03 Suggested argument
Since Xi Jinping took office in 2013, the CPC has intensified financial statecraft by leveraging foreign-exchange reserves to make strategic investments, making sovereign leveraged funds a global tool of state power.
Model confidence 74%
04 Reading orientation
60 / 100 academicTrade / academic crossover
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 62%.