February 8, 2021, Christopher D. Carroll C-With-Optimal-Portfolio
CRRA-RateRisk shows that for a Merton (1969)-Samuelson (1969) consumer
facing return on the only financial asset available,
the optimal marginal propensity to consume is approximately
| (1) |
where the precautionary effect of financial risk on the MPC is captured by the
term. Since
by assumption, this equation yields the
plausible conclusion that an increase in unavoidable financial risk
reduces
the level of consumption.
We are interested here in understanding how the results change when the
consumer can choose how much to invest in the risky asset, so that financial
risk can be avoided by reducing the share of the portfolio allocated to
the risky asset. Portfolio-CRRA derives the portfolio share that
an optimizing consumer will invest in a risky asset earning return
– so that
(where the subscriptless
version of a variable denotes its expectation unless otherwise noted,
e.g.
.1
The remaining proportion
of the portfolio earns a riskless return
,2
and we write the log expected return premium factor as
with log expected return premium
;
optimal choice of
yields a portfolio whose realized return factor is
written
and the log of whose realization is well approximated
by3
| (2) |
whose variance (using and
) is
| (3) |
and since the expectation of (2) will be
| (4) |
| (5) |
| (6) |
and Portfolio-CRRA shows that under these circumstances the optimal risky portfolio share is well approximated by
| (7) |
so that substituting from (7), the precautionary effect after taking account of optimal portfolio adjustment is
| (8) |
which says that (for ) the absolute size of the precautionary term shrinks
as the risk grows larger.
To put it another way, when the effect of the precautionary motive in
reducing consumption gets smaller as the risk gets larger (just to confirm that
you read that right, I’ll say it a third way: an increase in the riskiness of the
risky asset causes consumption to rise). At first, this seems bizarre: Intuition
suggests that in reality that people cut back on consumption in the face of
greater risk (financial or nonfinancial).
The way to understand this is to break down the response to the increase
in riskiness into two components. The first is the direct precautionary
effect examined in CRRA-RateRisk, which works in the way intuition
suggests (more risk implies lower consumption); the second effect is the
‘portfolio rebalancing’ effect, examined in Portfolio-CRRA: An increase in
riskiness makes the consumer cchoose to invest less in the risky asset.
What (8) tells us is that the consumer’s ‘flight from risk’ is so effective in
reducing riskiness (because the portfolio share enters as a squared
term in (8)) that the riskiness of the portfolio actually declines as the
riskiness of the risky asset increases. (This result was also derived in
Portfolio-CRRA). Now the overall reduction in consumption coming through
the precautionary term makes sense: Precautionary saving is less than
before because the consumer optimally chooses less exposure to risk than
before.
The fact that precautionary saving diminishes when risk is larger does not, by itself, tell us whether consumption increases in response to an increase in risk; in addition to the precautionary channel, the MPC is also affected by the decline in the portfolio’s expected rate of return that results from the consumer’s choice to invest less in the high-expected-return risky asset and more in the low-return safe asset. Substituting (7) into (6) indicates that the log of the expected portfolio excess return factor becomes
| (9) |
so an increase in can have quite a powerful effect in reducing the consumer’s
expected portfolio return.
As with the change in the riskfree rate analyzed in PerfForesightCRRA,
this change in the portfolio return has two consequences: An income
and a substitution effect, captured respectively by the first and second
terms of (1). Substituting and
into (1)
yields
| (10) |
Thus, for the income effect outweighs the substitution effect so that
when an increase in financial risk causes consumers to shy away from
the risky asset the reduction in consumption from the drop in income
(‘the income effect’) is larger than the increase in consumption from
the lowering of the incentive to delay consumption (‘the substitution
effect’).
Note, finally, that the net of the income and substitution effects is (remarkably) of exactly the same functional form as the precautionary effect, but of opposite sign and twice as large. So the combination of all three effects (income, substitution, precautionary) yields:
| (11) |
and we can see that the overall effect of the increase in financial risk is to reduce the marginal propensity to consume because the net of the income and substitution effects channels outweighs the precautionary effect (see PerfForesightCRRA for a refresher on income and substitution effects, as well as human wealth effects (which are absent here but could easily be added by giving the consumer an expected stream of future noncapital income)).
Figure 1 confirms, both using the approximate formulas derived above and using a numerically exact solution, that the MPC declines as risk increases.
Finally, in addition to the effects on consumption, we are interested in the
effects on saving. Since saving is income minus consumption, this means we need
to know the effects on income. But income for our consumer is entirely from his
portfolio investments, so the income effect is captured simply by . The ‘saving
effect’ is therefore captured by
| (12) |
which indicates that an increase in the riskiness of the financial asset will reduce net saving; although the increase in risk diminishes consumption, the decline in expected income from the decline in the consumer’s investment in the high-return asset is greater, and so expected saving declines despite the decline in consumption. It is worth emphasizing again, though, that this decline in saving is not properly called a precautionary saving effect; it is a consequence of the portfolio rebalancing which actually reduces the size of the precautionary effect. It would be confusing to refer to this simply as a precautionary effect, when in fact the ultimate outcome (increased saving) depends also on portfolio rebalancing, income, and substitution effects. This can be seen most clearly in the case of logarithmic utility, where the precautionary effect is precisely zero (see the discussion in CRRA-Portfolio), yet the portfolio and other effects exist and still generate the conclusion that the increase in risk increases saving.
This analysis has been entirely in partial equilibrium. General equilibrium considerations (which arise, for example, in attempting to use models of this kind to understand global imbalances) complicate the picture further. In particular, consumers’ efforts to flee the risky asset result in a lower equilibrium price for that asset (and a correspondingly higher price for the riskless asset, and therefore a lower riskfree rate). This induces yet a third round of responses to the increase in risk.
A final important observation is that the assumption that the consumer has no labor income means that perhaps the largest ‘classical’ effect of interest rates on consumption and saving is entirely omitted from the analysis here: The human wealth effect. (See Summers (1981) for a statement of the argument that the human wealth effect of interest rates is likely in practice to be much larger than the income and substitution effects.) The general equilibrium decline in riskfree rates attendant upon an increase in riskiness of the risky asset should boost human wealth, increase consumption, and reduce saving. For careful and insightful treatments of the general equilibrium problem, see Angeletos and Panousi (2011) and Corneli (2011).
Angeletos, George-Marios, and Vasia Panousi (2011): “Financial Integration, Entrepreneurial Risk and Global Dynamics,” Journal of Economic Theory, 146(3), 863–896.
Corneli, Flavia (2011): “Global Imbalances: Saving and Investment Imbalances,” Ph.D. thesis, European University Institute.
Merton, Robert C. (1969): “Lifetime Portfolio Selection under Uncertainty: The Continuous Time Case,” Review of Economics and Statistics, 51, 247–257.
Samuelson, Paul A. (1969): “Lifetime Portfolio Selection by Dynamic Stochastic Programming,” Review of Economics and Statistics, 51, 239–46.
Summers, Lawrence H. (1981): “Capital Taxation and Accumulation in a Life Cycle Growth Model,” American Economic Review, 71(4), 533–544, http://www.jstor.org/stable/1806179.