Last week one of our clients forwarded to us an email by another
“analyst” about FM Wealth Management analysis. And, that analyst
suggested that our analysis is “useless as a tool for market analysis.”
So, please allow to us deal with the issues that was brought up, and
that is the accuracy and usefulness of FM Wealth Management analysis.
As we have said before, Chairman Alan Greenspan, the former Chairman
of the Federal Reserve, stated that markets are driven by “human
psychology” and “waves of optimism and pessimism.”
Ultimately, as Mr
Greenspan recognized, that it is this so-called social mood, which
swings between optimism and pessimism that effect the movement of
markets. As we have stated in our previous posts, news does not cause a
change in the direction of the market, unless that trend is already set
to change.
In fact, have you ever wondered why markets or equity will
continue to go up after the announcement of bad news, or inversely will
go down after good news?
So now you may start to understand why the
stock market has continued higher despite all the bad news being thrown
at it.
This is why investors who are able to rise above news and emotion,
and identify prevailing social moods and trends, can have an advantage
over other investors.
How does one accurately and consistently track these changes in sentiment?
Ralph Elliott postulated that mass psychology and public sentiment
moves in a 5-wave cycle within a primary trend, and a 3-wave cycle in a
counter-trend. Once a 5-wave cycle in public sentiment is done, then it
is time for the subconscious sentiment of the public to shift in the
opposite direction.
This is simply a result of a natural cause of
events in the human psyche, and not the effect from some form of “news.”
This mass form of progression and regression is seen to be hard wired
deep within the psyche of living things. This is what we have come to
know today as the “herding principle,” and the herd seems to follow at
“Fibonacci” ratios, as supported by many recent studies.
Human beings are hard wired for herding within their brains, which is
a biological response they share with all animals. In fact, in studies
performed by psychologist Dr. Joseph Ledoux, at the Center for Neural
Science at NYU noted, “emotion and the reaction caused by such emotion
occur independent and prior to, the ability of the brain to reason.”
In the 1997 paper entitled “Large Financial Crashes,” published in
iPhysica A, done for the European Physical Society, the authors, within
their conclusions, present this summation for the overall herding
phenomena that effect financial markets:
Financial markets are fascinating structures with analogies to
what is arguably the most complex dynamical system found in natural
sciences, i.e., the human mind. Instead of the usual interpretation of
the Efficient Market Hypothesis in which traders extract and incorporate
consciously (by their action) all information contained in market
prices, we propose that the market as a whole can exhibit an “emergent”
behaviour not shared by any of its constituents. In other words, we have
in mind the process of the emergence of intelligent behaviour at a
macroscopic scale that individuals at the microscopic scales have no
idea of. This process has been discussed in biology for instance in the
animal populations such as ant colonies or in connection with the
emergence of consciousness.
One of the readers of one of our recent posts, made the following point regarding how news affects herding trends:
If we look at the stock market as a stream of ants marching bye in
a single direction. Then run a stick across their path, though there
will be a moment of confusion and reaction to the stick but ultimately
the original parade of ants continues and the stimulus is forgotten.
Therefore, based upon much research, we can conclude that the market
is on a path that is determined by a mass form of herding that is given
its direction by social mood. That would explain the question of why
markets go up on bad news or vice versa. It also takes out all the
guesswork in attempting to determine how the next “big news” may move
markets.
So in order to perform an appropriate analysis on a an individual
stock or the market as a whole, there is a significant amount of detail
work which needs to be performed. Since equity markets are fractal iby
nature, any appropriately supported analysis must conform d to an
appropriate wave structure.
So we have developed a method wwhich takes
much of the subjective analysis out of a standard waveform, and
provides an objective analysis to our methodology. However, each wave
must conform to these objective standards so we can predict movements
with relative certainty.
That rarely provides an accurate analysis of tracking market
sentiment, and when most of the projections based upon this type of
“analysis” fail, you can now understand why.
This “analyst” also took issue with the fact that FM Wealth
Management analysis suggests you should maintain both a primary analysis
while at the same time maintaining an alternative analysis.
This
simply illustrates the foolishness of those who make who say we are
calling it both ways. As we have stated previously, financial markets
are non-linear by nature. For this reason, you need to adopt a
methodology, such as this wave analysis, which adapts to the non-linear
nature of the market.