Why
is managed futures or more precisely trend-following an effective investment
strategy? Many managed futures programs have been successful by keeping it
simple and using heuristics like following the price trend and not always using
all the information that is available about a market. Disciplined and
systematic decision-making seems to be a robust means of dealing with a complex
world. Managed futures programs do not work all of the time, but there has been
consistently strong performance during times of stress, crisis, and uncertainty.
There
has been an ongoing problem of explaining why systematic trend-following can be
an effective strategy. Rules of thumb may be subject to biases and may be
sub-optimal relative to more complex approaches to return generation. The foundation
for the strong systematic managed futures performance is based on the ability
of managers to quickly generate better decisions in the uncertain environment
often faced by investors.
Trend-following can be thought of as a form of simplified decision-making
first described by Herbert Simon as "satisficing" or bounded
rationality. More recently, this bounded rationality has been called or described
as "fast and frugal" decision-making as popularized by Gerd
Gigerenzer.
Decision
theory and empirical research has taken two different directions on how to
describe the behavior of decision-makers. One school can be called the
heuristics and biases approach to decisions which has been the field of study
for Nobel Prize winner Daniel Kahneman. Gary Klein founded the other decision
behavior school through his natural decision-making approach. Natural or
adaptive decision-making celebrates rules of thumb gained through experience
surrounding the environment.
Both
offer different perspectives to the often “fast and frugal” approach used by
trend-follower and provide insights on why trend-followers can make money when
perhaps others have difficulty. Both approaches can help describe managed
futures decision-making and why it can be effective especially during times of
crisis. A more uncertain environment requires faster decision-making that is
based on simple rules. When time is critical, information limited, and the
environment uncertain, following price trends can be more effective than any
full optimization of all data. We think that managed futures are the
intersection of these two schools for explaining decision-maker behavior.
Daniel
Kahneman has popularized the view that many decisions are based on heuristics
or shorthand rules for fast decision-making; however, he has also been at the
forefront of documenting all of the problems associated with biases from fast
decision-making. We switch between fast
and slow decision-making or from thoughtful thorough analysis and quick
decisions that have to use limited inputs to draw conclusions. The big decision
problem is knowing when to switch between fast and slow decision-making and how
to avoid using the wrong tools at the wrong time. If we use deep analysis for
all our decisions, we will be paralyzed with inaction. If we use heuristics for
making snap judgments we will surely fail when deeper thinking is necessary.
For Kahneman, systematic managed futures managers have to balance between
simple fast tools against deeper analysis.
Gary
Klein has studied expert decision-makers for decades and has formulated the
view that experts are able to make good quick decisions because they are able
to properly contextualize the problems they face to find cues that will help
with decision-making. Expertise comes in the form of recognizing patterns from
repeated play. Intuition is a function of identifying cues based on the
environment faced by the decision-maker. In a fast paced market where there may
be limited new information, prices are primal. The best way to deal with
decisions is to exploit the patterns or trends that are readily available.
There could be biases from using a satisfying approach, but it may be the best approach
in a complex world.
Some
have view Kahneman and Klein are in conflict with one focusing on biases while
the other focuses on expert judgment through cues and heuristics. In reality,
managed futures managers implicitly take the best from each to form their
strategy framework. From Kahneman, managed futures has a deep awareness for
potential biases and uses rules to control risk and offset the natural tendency
to sell winners and hold losers. From Klein, we see managed futures managers
can be good natural decision-makers by using the patterns that are apparent in
price activity. Trends happen and rules can be developed to exploit them.
In a complex world, managed futures have
been able to develop rules for offsetting biases and rules for finding
repeatable events. Increases in technology have allowed for more complexity and
better decision-making but the game is still the same. Computers and models are
used to look at more markets to find fast and frugal decision rules to
effectively exploit opportunities and manage risk. This can be in the form of simple
and adaptable rules in order to make quick judgments in fast changing markets.
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