Guardians of Finance: Making Regulators Work for Us
James R. Barth, Gerard Caprio, Jr.,, Ross Levine
How the unaccountable, unmonitorable, and unchecked actions of regulators precipitated the global financial crisis; and how to reform the system. The recent financial crisis was an accident, a “perfect storm” fueled by an unforeseeable confluence of events that unfortunately combined to bring down the global financial systems. Or at least this is the story told and retold by a chorus of luminaries that includes Timothy Geithner, Henry Paulson, Robert Rubin, Ben Bernanke, and Alan Greenspan. In Guardians of Finance, economists James Barth, Gerard Caprio, and Ross Levine argue that the financial meltdown of 2007 to 2009 was no accident; it was negligent homicide. They show that senior regulatory officials around the world knew or should have known that their policies were destabilizing the global financial system and yet chose not to act until the crisis had fully emerged.
Award History
0 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PROSE Award for Business, Finance, and Management | 2012 | Honorable mention | 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
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- Timothy Geithner40%
- Henry Paulson38%
02 Central places
None extracted with sufficient confidence.
03 Suggested argument
The 2007–2009 financial meltdown was not an accident, but negligent homicide: senior regulatory officials knowingly allowed destabilizing policies until the crisis fully emerged.
Model confidence 78%
04 Reading orientation
55 / 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: 64%.