A quantifiable framework for unlocking the unconscious forces that
shape markets
There has long been a notion that subliminal forces play a great part in
causing the seemingly irrational financial bubbles, which conventional
economic theory, again and again, fails to explain. However, these
forces, sometimes labeled 'animal spirits' or 'irrational exuberance,
have remained elusive - until now. The Mystery of Market Movements
provides you with a methodology to timely predict and profit from
changes in human investment behaviour based on the workings of the
collective unconscious.
Niklas Hageback draws in on one of psychology's most influential ideas -
archetypes - to explain how they form investor's perceptions and can be
predicted and turned into profit. The Mystery of Market Movements
provides;
- A review of the collective unconscious and its archetypes based on
Carl Jung's theories and empirical case studies that highlights and
assesses the influences of the collective unconscious on financial
bubbles and zeitgeists
- For the first time being able to objectively measure the impact of
archetypal forces on human thoughts and behaviour with a view to
provide early warning signals on major turns in the markets. This is
done through a step-by-step guide on how to develop a measurement
methodology based on an analysis of the language of the unconscious;
figurative speech such as metaphors and symbolism, drawn out and
deciphered from Big Data sources, allowing for quantification into
time series
- The book is supplemented with an online resource that presents
continuously updated bespoken archetypal indexes with predictive
capabilities to major financial indexes
Investors are often unaware of the real reasons behind their own
financial decisions. This book explains why psychological drivers in the
collective unconscious dictates not only investment behaviour but also
political, cultural and social trends. Understanding these forces allows
you to stay ahead of the curve and profit from market tendencies that
more traditional methods completely overlook.
