When I raise the issue of the importance of macro, I tend to get the
same responses, which fall into two categories: 1. It can’t be done;
no one has a good record predicting macroeconomic variables
like GDP growth. 2. Why bother? Even if you had perfect foresight
of what these variables were going to be, you wouldn’t be able to
predict the market’s reaction.
The biggest factor affecting the performance of most companies
is not the size of the wider economy, but whether anyone
actually wants to spend money on their product. Hence while
every company has a sensitivity to macroeconomic variables as
described above, that is not to say that idiosyncratic risk is not key.
At times, the macro is dwarfed by these company specific factors,
at which point macro doesn’t matter, but this will not be true at
all times and for all companies. Ignoring cyclical businesses and
companies with less than perfect finances in order to avoid having
to think about the outlook for growth and interest rates, curtails
one’s investment universe.
Predicting key variables like growth, interest rates and inflation is
extremely difficult, even for professional forecasters1. However,
establishing reasonable bounds for key variables is more
achievable. For example, are central bank rates of 10% in the US
likely next year? We are realistic about our forecasting abilities
but we do not assume that anything between plus and minus 10%
carries an equal probability. We pay close attention to historical
norms. The hurdle to moving away from these norms is high, given
that this time is rarely different. In many instances history reveals
the natural level of key variables, to which they revert over time by
virtue of the natural stabilisers that exist within economies.
As with all big problems, the key is to reduce it into something
manageable, which for us means a set of four scenarios. Currently
we believe the most likely outcome for the global economy is a
strong rebound in growth, with higher attendant inflation than
during the pre-pandemic period. In each of these scenarios we
don’t immediately assume asset class x will go up and asset class
y will go down. Instead we think about what is likely to happen to
the key variables that influence investment returns. For example,
by trying to understand what is likely to happen to company sales
in a range of scenarios, we can then interrogate the price we’re
being asked to pay for equities today. This means we can tolerate
a recession without running into cash, if we think the price we’re
paying for equities and credit adequately compensates us for this
scenario.
The key distinction is between a top down investment approach
akin to an investment clock, and using macro as an input to
a bottom-up, valuation driven approach. We don’t believe in
investing on the basis of macro, but nor do we ignore it. Macro
variables don’t tell you what investment returns are going to be:
they contribute to the payouts you are going to receive in future, at
which point you need to decide what you are going to pay for those
payouts today.
1T Stark, ‘Realistic Evaluation of Real-Time Forecasts in the Survey of Professional Forecasters’, Federal Reserve Bank of Philadelphia Research, philadelphiafed.org, 2010
In case you missed it
Contact Momentum Investments
2-minute questionnaire.