The Setup
Past this sentence there is no modeling of real financial phenomena. This is just playing around with an idea just to see what it looks like. This is also the second whack at an idea about modeling "critical states" like forest fires, sand pile avalanches and earthquakes. Here is the idea: most research papers I read perseverate on returns and return distributions. The normal distribution is the flawed baseline but usually close enough. There are others. T-distributions have usable fat tails but need to be fit. Gaussian mixes (GM) are often very usable but also need to be fit. I like GM since there is a "high note" of a relatively regular, probabilistic, narrow variance return process and a "low note" of much lower and/or very wide variance returns. This is easy to model but conceiving of the low note as a stochastic process might be "fittable" in the end but also wrong. What if the world had darker forces -- sometimes related to returns -- that are not a regular random process and not always a function of returns. What if the earthquakes that hit us financially come from things other than returns (or regular spending). Here we can take a stab at some ideas for what I mean: