We show how to apply the fully-modified estimation method in the integrated seemingly unrelation regressions model. Three different fully-modified estimators are studied and their asymptotic distributions are found.

It is shown that the maximum likelihood estimator of a local to unity parameter can be consistently estimated with panel data when the cross section observations are independent. Consistency applies when there are no deterministic trends or when there is a homogenous deterministic trend in the...

In the paper we consider the role of seasonal intercepts in seasonal cointegration analysis.

The classical definition of GARCH-type processes rely on strong assumptions on the first two conditional moments. The common practice in empirical studies, however, has been to test for GARCH by detecting serial correlations in the squared regression errors. This can be problematic since such...

The paper is the first part of the study which is devoted to the analysis of the macroeconomic trends in the Russian Federation and the Republic of Armenia in the period 1995–2011 and the development of the aggregated macroeconometric models of the national economies of these two countries. We...

The M&A transactions represent a wide range of unique business optimization opportunities in the corporate transformation deals, which are usually characterized by the high level of total risk. The M&A transactions can be successfully implemented by taking to an account the size of investments,...

The hedge fund represents a unique investment opportunity for the institutional and private investors in the diffusion-type financial systems. The main objective of this condensed article is to research the hedge fund’s optimal investment portfolio strategies selection in the global capital...

In the analysis of time series, it is frequent to classify perturbations as Additive Outliers (AO), Innovative Outliers (IO), Level Shift (LS) outliers or Transitory Change (TC) outliers. In this paper, a new outlier type, the Seasonal Level Shift (SLS), is introduced in order to complete the...

In the analysis of time series, it is frequent to classify perturbations as Additive Outliers (AO), Innovative Outliers (IO), Level Shift (LS) outliers or Transitory Change (TC) outliers. In this paper, a new outlier type, the Seasonal Level Shift (SLS), is introduced in order to complete the...