A simplest multi-sector dynamic model for regional economy is a normative balance mathematical model, but it contains a lot of unspecified parameters which are not defined directly by the data of economic statistics. Only confidence intervals for the unknown parameters can be computed from the...

Parallel calculations on modern multiprocessing technics open new opportunities in application of mathematical models for research ekonomy of region. Use of normative models was limited to complexity of their identification due to a lot of unknown parameters. In work the technique of...

Article on the use of system analysis methodology for modeling socio-economic processes. The author justifies the methodological approach, based on dynamic analysis of exogenous processes in economic and social management practices. Particular attention is paid to the use of index indicators...

This paper is concerned with univariate noncausal autoregressive models and their potential usefulness in economic applications. We argue that noncausal autoregressive models are especially well suited for modeling expectations. Unlike conventional causal autoregressive models, they explicitly...

Discrete time volatility models typically employ a latent scale factor to represent volatility. High frequency data may be used to construct proxies for these scale factors. Examples are the intraday high-low range and the realized volatility. This paper develops a method for ranking and...

Abstract: Grandmont (1985) found that the parameter space of the most classical dynamic general-equilibrium macroeconomic models are stratified into an infinite number of subsets supporting an infinite number of different kinds of dynamics, from monotonic stability at one extreme to chaos at the...

This paper investigates the behavior of stock returns in an emerging stock market namely, the Macedonian Stock Exchange, focusing on the relationship between returns and conditional volatility. The conditional mean follows a GARCH-M model, while for the conditional variance one symmetric (GARCH)...

The series on average hours worked in the manufacturing sector is a key leading indicator of the U.S. business cycle. The paper deals with robust estimation of the cyclical component for the seasonally adjusted time series. This is achieved by an unobserved components model featuring an...

This paper belongs to my research program on violence and terrorism started in 1993, as a consequence of the growing concern regarding the increase in Colombian violence, and especially for its escalation during the 1990’s. After 14 years of research, particularly after developing a model of...

We show that long horizon forecasts from the nonlinear models that are considered in the study by Rapach andWohar (2006) cannot generate any forecast gains over a simple AR(1) specification. This is contrary to the findings reported in Rapach and Wohar (2006). Moreover, we illustrate graphically...