Can this incredibly fluid, political situation be modeled mathematically?

178951663


It has only been a few minutes since my previous blog post that was based upon a news announcement, this morning, that the Republican House of Representatives planned to offer its own bill to end the government shut down and debt limit crisis. Ironically, almost as soon as the new blog was posted (and, I’ll admit, I was very disturbed by this news), I saw the subsequent headline: Republican Leaders Back Off New Plan

House Republican leaders struggled on Tuesday to devise a new proposal to reopen the government and alter parts of the president’s health care law after a plan presented behind closed doors to the Republican rank and file failed to attract enough support immediately to pass.

After more than two hours, Republican leaders walked back from a plan that had emerged this morning. Speaker John A. Boehner told reporters there were “no decisions about what exactly we will do.”

While I am amazed, and relatively pleased, at how fast all of this happened, it opens a question for me: Is it possible to accurately model human behavior of this sort? I wonder if Mandelbrot’s study of uneven shapes and fractile patterns offers a clue. Or, perhaps, Rene Thom’s catastrophe theory can be applied to the political/financial realm. Are we looking at nonlinear phase reversals? In the back of my mind, I suspect that there is an order to this apparent chaos. Some suggest that we should consider fluid dynamics.

It eludes me as I am not sufficiently expert in higher mathematics. But, I suspect others have a better handle on things, and I welcome pointers and opinions. One thing is clear enough, the financial markets have reacted very little to either the original announcement of a plan by the Republican House, nor to the announcement that the plan was dead. For my part, I seem to have had a visceral reaction to both announcements, as the implications seemed enormous to me. Now, I will have to make an effort not to be too caught up in the Republican political drama and posturing.

Posted in scientific understanding of financial markets, Uncategorized Tagged with: ,

Book Three: Trading With The News

Learn about a news-based trading system that yielded a back-tested, average annualized, compounded return from 2000 to 2011 of 58.6%.

“Only once you’ve done your homework will you be able to understand how the stock market works and learn to distinguish between news and noise.” Maria Bartiromo, Use The News

Book Two: Technical Analysis

Learn about the "trend recalling" algorithm that yielded researchers a simulated annual return of greater than 400% in multiple tests.

“The scientific method is the only rational way to extract useful knowledge from market data and the only rational approach for determining which technical analysis methods have predictive power.”
David Aronson, Evidence Based Technical Analysis

Book One: Analysts’ Forecasts

Learn the strategy, based on analysts' revised forecasts, that yielded researchers an average of 1.13% - 2.19% profit per trade, for trades lasting one to two days?

Learn how certain analysts' recommendations, following brokerage hosted investment conferences, yielded profits of over 3% during a two-day holding period?

Learn how researchers found an average profitability of 1.78% for two-hour trades following an earnings announcement?

"This set of tools can help both ordinary and professional investors alike to re-think and re-vitalize their stock picking, timing and methods. A young, aspiring Warren Buffet could put this book to good use."
James P. Driscoll, PhD, investor

Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments by David Aronson (software included)

Evidence-Based Technical Analysis by David Aronson

Archive of Earlier Posts