Money, Bubbles and Bailout: Part 2

In the first article, I walked through how a bank creates brand new money the instant it approves a loan not by moving existing funds, but by writing a matching asset and liability into existence on its own balance sheet. That single fact, once you actually sit with it, changes how you have to think about almost every other number in economics. The one I want to focus on here is GDP, because Richard Werner's argument is that the very statistic we use to judge whether an economy is "doing well" is structurally incapable of detecting the most dangerous thing a banking system can do.

What GDP Actually Measures and What It Leaves Out

Gross Domestic Product is meant to capture the total value added by all economic activity in a country over a given period: goods produced, services rendered, wages paid, businesses run. It is a "value added" concept. And here is the detail that took me a while to appreciate: buying and selling an existing asset does not, by itself, add any value, so it is not counted in GDP. If I sell you a plot of land, ownership has changed hands, but nothing new has been produced. The transaction fee my agent earns counts toward GDP; the actual sale price of the land does not.

This sounds like a minor technicality until you connect it back to Article 1. When a bank creates new money by issuing a loan, and that new money is used to buy real estate or financial assets rather than to build a factory or hire workers, the newly created purchasing power is completely invisible to GDP. The economy can look calm and healthy on paper and steady GDP growth, low measured inflation while a separate, unmeasured river of freshly created money is flooding into land and stocks, pushing prices higher and higher.

The Balance Sheet Behind a Bubble.

Let's extend the Rima example from Article 1, but now imagine an entire banking sector doing the same thing, over and over, for real estate.

Suppose a bank has 100 units of its own capital (equity) money contributed by its owners, which acts as a buffer against losses. Banking regulation typically allows banks to operate with equity as low as around 10% of their total assets. So this bank might have a balance sheet like this at the start of a lending boom:

Now the bank begins lending heavily for real estate purchases and mortgages secured against property. Each new mortgage, exactly as in Article 1, is a fresh asset (the loan) matched by a fresh liability (a "customer deposit" credited to the seller of the property, who banks that money). As more and more of this newly created money chases the same finite pool of land and property, prices in that market get bid upward. This is not supply and demand in the textbook sense of scarce goods; it is newly created money meeting a limited supply of real estate, and there is nothing rationing how much new money the banking system can decide to create.

Crucially, the properties being bought and sold are now the collateral backing all these new loans. As property prices rise, the collateral looks stronger, which makes banks feel safer extending even more credit a self-reinforcing loop. Werner calls this dynamic a Ponzi scheme in the precise technical sense: it only keeps working as long as banks keep expanding credit fast enough to bring new buyers into the market at ever-higher prices. The moment banks slow down or stop increasing credit because of a central bank policy shift, a shock, or simple caution the flow of new buyers dries up, and prices stop rising, then fall.

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Where the Fragility Was Hiding the Whole Time

Here is the part that made the mechanics of a banking crisis click for me. Remember that the bank in our example only has about 10% of its balance sheet in equity. If property prices, having been pushed up by 300–400% during the boom, then fall by just 20% from their peak, the value of the collateral backing the loans falls well below what borrowers still owe. Some borrowers default. The bank has to absorb losses on those defaulted loans and because its equity cushion is so thin, a relatively modest price correction is enough to wipe out the entire equity buffer.

This is the accounting anatomy of a banking crisis: assets shrink because collateral values collapse and loans go bad, but liabilities to depositors do not shrink at all the bank still owes every depositor the full amount it recorded as their "deposit." The gap has to come out of equity, and because equity was never more than a thin sliver of the balance sheet to begin with, it disappears quickly. Werner points to Japan's property and stock market collapse from 1990 onward as exactly this mechanism playing out at national scale, and to the more recent run-up in US real estate prices as the same dynamic in a different country.

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Why the Official Statistics Missed It

This is the connection back to GDP. Throughout the entire boom described above, none of the actual asset purchases the real estate transactions themselves show up in GDP, because GDP only counts value added, not the transfer of existing assets. A country can be sitting on top of an enormous, rapidly inflating credit bubble in its property or stock markets while its headline GDP growth and consumer price inflation numbers look completely unremarkable. Werner's broader "quantity theory of disaggregated credit" was built specifically to fix this blind spot by splitting bank credit into money that flows into GDP transactions versus money that flows into asset purchases, since lumping them together (as the older, simpler quantity-of-money theories did) hides exactly the signal a regulator would need to see a bubble coming.

The next article turns to a related question: if bank credit is not the central bank's interest rate decisions then what is the real engine behind asset bubbles, what does that mean for the textbook claim that interest rates are what drive growth in the first place?