We investigate for evidence of complex-deterministic dynamics in financial returns time series. By combining the Surrogate Data Analysis inferential framework with the MG-GARCH (Kyrtsou and Terraza, 2003) modelling approach, we examine whether the sequences are characterized by aperiodic and...

This paper explores the dynamics of the U.S. hog market with three different dynamic models that are distinguished only by their assumptions with regard to market participants' expectations of future prices. The first model assumes that all the producers in the market have rational expectations....

When the Central Bank sets nominal rates as a a non-decreasing function of the inflation rate to stabilize the economy, that is it uses a Taylor Rule, the zero lower bound on interest rates may result in multiple equilibria and a liquidity trap. However, if fiscal policy is non-Ricardian, or...

\tTraders in this model of an asset market have the opportunity to conduct individual research to acquire a noisy signal of a security's future value, or they can employ least-squares learning in an attempt at extracting the private information of other traders through observing the price. For a...

We investigate a simple nonlinear model of economics to which strong multiplicative noise is added, and find two distinct generic control regimes. In the regime of noisy behavior, the application of the control is able to reduce noise only if the underlying periodicity is correctly taken into...

In impulse response analysis the construction of intervals for the response at a particular time is a familiar topic. This paper considers the construction of confidence bands for the path of reponses. It investigates the feasibility of procedures based on heuristic optimisation methods for...

Price forecasting and trading strategies modelling are examined with major international stock indexes under different time horizons. Results demonstrate that an accurate prediction is equally important as a stable saving rate for long-term survivability. The best economic performances are...

This paper is a step towards the econometric foundation of computational intelligence in finance. Financial time series modeling and forecasting are addressed with an artificial neural network, examining issues of its topology dependency. Structural dependency of results is viewed not as a...