Asset owners are a learned group but do, occasionally, need help. One Harvard Business School professor, focusing his talents in the low-volatility investing space, is providing just that.
Remember those kids in high
school who did everything better than you? They captained three sports teams,
beat you on every math test, dated the Prom Queen, and would pop up in school
musicals once in a while, if only to prove to you (or so you thought) that they
were the Leonardo Da Vinci of 17-year olds? Malcolm Baker is the 42 year-old
version of that kid.
Baker is currently the Robert
G. Kirby Professor of Business Administration at Harvard Business School but, of course, he is so
much more. Before he got his PhD from Harvard, he got his MPhil at Cambridge
University. Before he got his MPhil, he rowed in the Olympics for the United
States, placing fourth. Before coming fourth in the Olympics, he got his
undergraduate degree at Brown. For all we know, before Brown he probably
invented cold fusion, but things like that can get lost in such a ludicrously
impressive resume.
What
is not lost about Baker (whose disarming humbleness belies his vast
accomplishments) is this: Along with Brendan Bradley and Jeffrey Wurgler, he recently
won the CFA Institute’s Graham and Dodd Awards of Excellence
for 2011 for
their paper, Benchmarks as Limits to
Arbitrage: Understanding the Low-Volatility Anomaly. “The paper started with
an empirical fact,” Baker told me during a recent conversation. “It then
proceeded to a kind of 'what is the potential rationale, and how likely is it
to persist?’” Very likely, the authors found.
The
main thrust of the paper is that low-volatility stocks consistently outperform
their high-volatility counterparts, which makes no sense in an efficient market
unless you consider two market factors: Individual investors can be irrational,
and institutional investors can be handcuffed to benchmarks. The first
factor—irrationality—is common knowledge. “Buying a low-priced, volatile stock
is like buying a lottery ticket: There is a small chance of its doubling or
tripling in value in a short period and a much larger chance of its declining
in value,” the paper states, and one need look no further than the recent half-billion
dollar Mega Millions lottery hysteria to confirm this fact. But the idea that
the apparently rational benchmarking by institutional investors is also warping
the market is perhaps less obvious. “Why do institutional investors not at
least overweight the low-volatility quintile?” the paper asks. The response:
“We believe that the answer involves benchmarking.” The usual asset
management/owner equity contract, Baker and the authors believe, “contains an
implicit or explicit mandate to maximize the ‘information ratio’ relative to a
specific, fixed capitalization-weighted benchmark without using leverage”. They
continue: “Although the ultimate investor cares more about total risk than
tracking error, it is arguably easier to understand the skill of an investment
manager—and the risks taken—by benchmark.”
“To summarize,” it concludes,
“the combination of irrational investor demand for high volatility and
delegated investment management with fixed benchmarks and no leverage flattens
the relationship between risk and return. Indeed, the empirical results suggest
that, over the long haul, the risk–return relationship has not merely been flattened
but inverted. Yet sophisticated investors are, to a large extent, sidelined by
their mandates to maximize active returns subject to benchmark tracking error.” Benchmarking, in effect, is
a limit on the ability to arbitrage this persistent anomaly out of existence.
This work emerges from
Baker’s larger field of study, behavioral finance, and is a reflection of the
current financial ethos: Well, something didn’t work quite the way Milton Friedman
said it would. Indeed, the admission that markets are consistently inefficient
seems to fly in the face of all that the Chicago School of economic theory
stood for. Baker admits as much. “Yes, for sure it flies in the face of that,”
he said during our talk. “Of course, their response would be ‘this is a statistical fluke that won't
repeat’, or they’d say we are not measuring risk properly. I think for the
low-volatility anomaly, it is challenging, because we'd have to be not only
measuring risk wrong, but getting its sign flipped.” Take that, Eugene Fama.
More
concretely, Baker’s work highlights another recent revelation in institutional
investing—namely, that benchmarks must be rethought. Be it NACUBO figures or
transition management pre- and post-trade estimates, benchmarks have come under
fire for skewing incentives. It is no different, Baker said, with equity
investing. “Investors, be it innate or based on institutional momentum, tend to
be tied to benchmarks. Any change would require a change in mindset—a wholesale
one that would require them to re-evaluate how they judge an investment manager
relative to a benchmark.” Baker—who, admittedly, has a stake in the game, being
a consultant with Acadian Asset Management—hopes that his research will help
persuade institutions to make this leap.
Be
it with equity investing or at a fund level, many investors have recently come
to hold this mantra dear: Above all else, don’t lose money. If the benchmark is
down 20%, and you’re down 18%, you’ve beaten the benchmark—but you’ve also lost
nearly a fifth of your capital and the sponsoring institution will, in all
likelihood, suffer accordingly. Thus the rise of strategies such as risk
parity, tactical asset allocation strategies, and—with Baker’s
help—low-volatility investing, all meant to offer protection against large
capital drawdowns. “Those investors who are less benchmark reliant, they’re
just more likely to take advantage of this anomaly,” he concluded. “If
low-volatility does what we think it will do, they’ll be rewarded for doing
so.” Considering his resume, investors should probably listen.