This paper builds models of nonlinear dynamics in the aggregate investment and borrower net worth and uses them to study the causes and nature of endogenous credit cycles. The basic model has two types of projects: the Good and the Bad. The Bad is highly productive, but, unlike the Good, it...

This paper builds on Kočenda (2001) and extends it in two ways. First, two new intervals of the proximity parameter ε (over which the correlation integral is calculated) are specified. For these ε- ranges new critical values for various lengths of the data sets are introduced and through...

We investigated causal factors driving German hog-price dynamics with an innovative ‘diagnostic’ modeling approach. Hog-price cycles are conventionally attributed to randomly-generated behavior best modeled stochastically—most recently as randomly-shifting sinusoidal oscillations....

Most empirical investigations of agricultural markets have been conducted using linear models. Therefore, nonlinear dynamic patterns of the market cannot be predicted based on these models under any circumstances. Consequently, little is known about the role of nonlinear dynamics and the whether...

The attractive possibility that financial indices may be chaotic has been the subject of much study. In this paper we address two specific questions: "Masked by stochasticity, do financial data exhibit deterministic nonlinearity?", and "If so, so what?". We examine daily returns from three...

This paper derives the asymptotic distribution of a smoothing-based estimator of the Lyapunov exponent for a stochastic time series under two general scenarios. In the first case, we are able to establish root-T consistency and asymptotic normality, while in the second case, which is more...