An Autonomous Agent

exploring the noosphere

Category: complexity theory (Page 5 of 8)

Complex System vs. Stochastic Models of Market Returns

Modelling market returns as independent random variables/martingales is the same as modelling the solar system as a geocentric system with the planets and Sun circling around Earth in epicycles. Predictions of the future are often vastly incorrect in both models. Quite surprisingly, this solar system model survived for thousands of years, despite it being totally incorrect. Then came Tycho Brahe who introduced a modified version of this Ptolemaic system. In Brahe’s model the planets orbit the Sun which orbits the Earth. While this model improved the accuracy of planetary motions, it failed to model reality. Perhaps it could be said that stochastic jump processes are equivalent to Brahe’s model of the solar system. While these jump process do a better job at modelling the returns than simple stochastic processes, they fail to grasp the underlying true model of returns.

Poor Market Forecasting

And as we now know, the true model (for now) of the solar system was introduced by Aristarchus (Copernicus and Kepler helped bring forward this model) and predicts planetary motions with near perfection and represents the actual state of the solar system. I believe that the analogous model for stock returns has been introduced by Didier Sornette, Anders Johanson and others.

These scientists have expounded the idea that market returns are a function of individual agents in a complex system. Just as the human body is a collection of individual cells which make “decisions” based on communications with neighbours through chemical processes, traders make their own decisions based on communication with neighbours. With this perspective the market is a complex system of interacting agents. Thus, returns should be a function of these interactions. Under this complex system model, bubbles and crashes which dot the history of finance (which are not explained fully by independent returns/martingales) are straightforward results. In addition, these models still explain why returns are close to normal “most” of the time.
So, it seems that we need to modify or throw away the old models in favour of these new complex system models. These complex models offer better prediction of the overall market and more fully represent reality.

There is the interesting possibility of this: the stochastic volatility model referred to as the Ornstein-Uhlenbeck process represents the physical process of a “noisy relaxation process.” The Wiener Process represents Brownian motion or motion of a particle through a gas or liquid. So, if we consider the movement of a stock through a virtual container of many stocks (these stocks are the atoms in the Brownian motion) then we need to ask ourselves: What does the price, interest rate, returns, etc. mimic? It is NOT the equations! BUT the physical processes themselves.  Why is an interest rate in a state of disequilibrium in the first place… that it must try to relax? Who put the stock in swarm of human hands all independently moving… It more correctly seems that the traders are following its movement at every second, waiting to grab it when the time if right (thus not independent)?

Didier Sornette: Predicting risk

Very interesting video on “Where are we going? And what can we do?” about financial markets, critical points, ecology, biology, and other issues of the Anthropocene by Didier Sornette. Humans are growing at a super-exponential rate, so what does this mean? He also points out the importance of non-linear behavior in markets and the concept of Dragon-Kings. Also, here is a link to a good interview with Sornette thanks to ZURICH.MINDS.

For anyone interested in watching some of his lectures, here is a link.

Rechnender Raum (Calculating Space) – Konrad Zuse

Konrad Zuse’s Rechnender Raum (Calculating Space) is a book which proposes the idea that the universe is computed by cellular automaton. Thanks to MIT and Zuse’s family, the book can be downloaded as a pdf.

Can a Stock Market Crash be Avoided? Can the Collapse of Society be Avoided?

The idea in Why Stock Markets Crash is that there exists a critical point which represents the boundary between two regimes. The entire stock market exists as numerous agents whose decisions are not independent.  These agents are in a state of disorder under “normal” trading conditions, thus creating return distributions which are normally distributed. As time progresses the market rises and the agents begin to enter a state bordering disorder and order.  While in this state, the market attitudes of the agents can be abstracted to fractal islands just like the Ising model when close to criticality; in this state, attitudes are able to percolate through various hierarchies and organizations. I have left out many details, but the general concept is that once the market reaches this state, the probability for a crash becomes large; in other words, a crash is the result of instabilities caused by agents reaching a critical state.
Ising model representing attitudes of agents
My question is this: If market agents realize the instability and expect a crash, will the crash be avoided?
Perhaps there exists a critical proportion of agents who must expect the crash for it to be avoided. If a small number of agents expect the crash, then it will still occur. If more than the critical number of agents expect the crash, it will be avoided. But, if so many agents share the same attitude, doesn’t that make  the market even more unstable? With all this order, there will be opportunities for arbitrage. As attitudes flip-flop and cascade through the system, this arbitrage opportunity will occur again and again; faster and faster; this creates the observed log-periodic oscillations. Eventually, the crash occurs. My conclusion seems to be that a crash can not be avoided.
Figure and Ground
People say that in reality there is no arbitrage. They believe that any pattern which arises will be quickly removed. BUT, isn’t the removal of a pattern a pattern itself? Perhaps similar to Hofstadter’s Figure and Ground? Caution: some Grounds are not themselves Figures. I believe that the ideas presented by Sornette may be the pattern of pattern removal. Perhaps there can be strategies based on the removal of a pattern, which is based on the removal of a different pattern… and so forth.
The potential for crash prevention has applications in societal collapse. My intuition tells me that the two are related. If we can answer the question: Can we prevent the crash of a market? Then we will know the answer to the question: Can we prevent the collapse of a society? To me this seems deeply connected with Isaac Asimov’s Foundation Series. In this series Hari Seldon develops psychohistory (from Wikipedia):

Using the laws of mass action, it can predict the future, but only on a large scale; it is error-prone on a small scale. It works on the principle that the behaviour of a mass of people is predictable if the quantity of this mass is very large (equal to the population of the galaxy, which has a population of quadrillions of humans, inhabiting millions of star systems). The larger the number, the more predictable is the future.

It seems that Asimov is once again ahead of his time!

Natural Resource Depletion – Solution: Algae Oil and Water Cavitation

I recently read Phase Transitions, by Ricard Sole. The last chapter talks about societal collapse due to resource depletion. Under some assumptions, modelling the per capita consumption rate of natural resources shows that there exists a phase transition between stability and collapse. In other words, a gradual increase in the per capita consumption rate (or an increase in population, given a fixed per capita consumption rate) will result in a sudden and extreme phase shift — from stability to instability, i.e. collapse.
Interestingly, the book Why Stock Markets Crash, by Didier Sornette, mentions the same phase transition, or critical point as he refers to it, occurring due to an increasing rate of population growth and dependence upon technology. The rate of population growth implies the occurrence of a finite time singularity. Upon reaching this critical point, a change from one regime into another will occur. What this change will be is unknown.
There have been numerous large civilizations of the past whose existence was relatively brief on the face of the Earth. Will modern civilization have the same fate? These two books suggest an impending change. However, there is a chance that this time could be different. No other society in history has been able to predict its own demise. Is this the key? The knowledge of one’s own collapse could be sufficient to prevent it.
I believe to at least postpone the arrival of this phase transition requires only that we have a full dependence on renewable resources and find a revolutionary way to produce and distribute fresh water. Once these are accomplished, other issues which could lead to collapse can be fixed in due time.
Surprisingly, there already exist potential solutions which I believe can solve the problem: Algae Oil and Water Cavitation. Growing algae in deserts near the ocean seems like a terrific idea for generating fuel. Not to mention the fact that the algae remove CO2 from the air. However, I can foresee that this could actually create a problem, since too little CO2 in the atmosphere is also a problem.
Water Cavitation, as mentioned in the link above, provides a reliable mechanism for removing chemicals and organisms from water. A perfect source of clean, fresh water for the world. However, there still exists the problem of water availability. Perhaps there are good ideas for this, I am not sure.

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