A credit bubble is a sustained and accelerating growth of bank loans
relative to the growth of Gross Domestic Product (GDP), which finances a
boom in both economic activity and in asset prices. The proposition that
this growth of credit adds to demand - especially for financial assets -
above and beyond that generated from existing incomes contradicts the
"loanable funds" vision of lending in which loans are "pure redistribu-
tions" which "should have no significant macroeconomic effects" (Bernanke,
2000, p. 24), as lending simply redistributes spending power from lender to
borrower without enhancing aggregate demand. However, in the
endogenous-money view, lending enables demand to increase in the aggregate,
thus financing a growth in economic activity and rising prices on asset
markets. Prior to the global economic and financial crisis that erupted in
2008, the dominant view in economics was that the proposition that "credit
bubbles" had any macroeconomic significance was a figment of the
imaginations of non- economists. The Modigliani-Miller theorem (Modigliani
and Miller, 1958) - the relevant subset of the efficient markets hypothesis
- argued for the irrelevance of credit to both the valuation of firms
(except for the effect of the tax-deductibility of interest payments) and
economic performance. The proposition that there could be a "financial
accelera- tor" (Bernanke et al., 1996) gave conventional theory an argument
as to how credit could impact on economic activity, but this mechanism
relied on agency costs owing to asym- metric information and acted through
the price of credit rather than its volume.
Since the outbreak of the economic and financial crisis in 2008, this
"irrelevance view" has lost favour, and attention has turned to what the
empirical record indicates is the effect of greater-than-mean increases in
credit. Three authors, namely Jordà, Schularick and Taylor, have led
the way here (see Schularick, 2009; Jordà et al., 2011a, 2011b;
Schularick and Taylor, 2012), via the construction and analysis of a
database of credit and economic cycles for 14 countries over a 139-year
period (from 1870 to 2008). They provide an empirical definition of an
"excess credit" variable (x) as "the rate of change of aggregate
bank credit (domestic bank loans to the nonfinancial sector) relative to
GDP, relative to its mean, from previous trough to peak" (Jordà et
al., 2011b, p. 5), measured in percentage points per year. Clearly this can
range from well below to well above zero (its average value over their
sample of recessions was 0.47 per cent of GDP per annum). Their database
(www.aeaweb.org/aer/data/april2012/20091267_data.zip)
includes 223 recessions, 173 of which they classify as "normal recessions"
on the basis of the low value of their x indicator (the average
value of x was 0.29), and 50 of which they classify as "financial
recessions" (the average value was 0.71). Via a series of econometric tests
they conclude that the value of x was the best indicator of the
severity of the ensuing recession: the larger its value, the deeper the
recession, and the longer its period. Since the value of x prior
to a recession accurately indicates the severity of the recession itself,
and the value of x invariably plunges during and in the aftermath
of the recession, the rise and fall of x can be taken as a
manifestation of the expansion and collapse of a credit bubble. The bubble
clearly has impacts on both asset and commodity markets, causing a boom in
both markets prior to the recession and a bust in both markets during the
recession.
They note that their results are consistent with the Fisher (1933) debt
deflation hypoth- esis and Minsky's (1963, 1972) financial instability
hypothesis, though their empirical research deliberately lacks a
theoretical foundation, since a theoretically agnostic position allows them
to simply document these "new important facts about the role of credit in
the modern business cycle" (Jordà et al., 2011b, p. 38).
Though theoretically agnostic, the fact that "excess credit" (x)
is a reliable indicator of both an approaching financial recession and its
likely severity challenges the conven- tional view of the role of central
banks (that financial crises cannot be predicted ahead of schedule) and
that the proper role of central banks is to mop up after crises rather than
attempt to prevent them from happening.
Support for the concept of credit bubbles also comes from the work of
Biggs, Mayer and Pick (Biggs and Mayer, 2010; Biggs et al., 2010) on the
"credit impulse" and Keen (2013, pp. 247-9) on the "credit accelerator".
Both terms refer to the change in debt divided by GDP, a measure that is
consonant with Schularick's x. These authors propose a causal link
between debt acceleration and change in economic activity in both goods and
asset markets. This implies that economic booms and rising asset prices in
part rely upon accelerating debt, and since continuous positive
acceleration is impossible, a credit bubble will be defined by the
transitions from positive to negative debt acceleration.
See also:
Asset price inflation; Asymmetric information; Bubble; Debt deflation;
Efficient markets theory; Endogenous money; Financial bubble; Financial
crisis; Financial instability hypothesis; Money and credit; Minsky,
Hyman Philip.
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