Accession Number:

AD1053995

Title:

Modeling the Components of an Economy as a Complex Adaptive System

Descriptive Note:

Technical Report,01 Sep 2014,24 Mar 2016

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH WRIGHT-PATTERSON AFB United States

Personal Author(s):

Report Date:

2016-03-24

Pagination or Media Count:

195.0

Abstract:

Complex systems science is relatively new and has not been widely applied to the field of economics. Much of current economic theory relies on principles of constrained optimization and fails to see economic variables as part of an interconnected network. While tools for forecasting economic indicators are based primarily on autoregressive techniques, these techniques may not be well-suited to predicting the future performance of highly volatile data sets such as the stock market. This research portrays the stock market as one component of a networked system of economic variables, with the federal funds rate acting as an exogenous influencing factor. Together these components form a complex adaptive system having nonlinear dynamics. The network is modeled using a system of differential equations, which are based on an expanded form of the logistic differential equation for populations with carrying capacities. An inverse problem is solved using the method of least squares, and the resulting coefficients are examined to determine the strength of relationships between the network components. The fitted model is then evaluated for adequacy and Eulers Forward Method is employed to predict the long-run behavior of the network. With this as a baseline, the research investigates several hypothetical scenarios to determine how the system reacts to changes in interest rates. Contributions and implications of the model are addressed in the context of U.S. national defense.

Subject Categories:

  • Economics and Cost Analysis
  • Military Operations, Strategy and Tactics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE