Background: The stock exchange, as a regulated financial market, in modern economies reflects their economic development level. The stock market indicates the mood of investors in the development of a country and is an important ingredient for growth. Objectives: This paper aims to introduce an additional statistical tool used to support the decision-making process in stock trading, and it inve...

We introduce a novel predictive statistical modeling technique called Hybrid Radial Basis Function Neural Networks (HRBF-NN) as a forecaster. HRBF-NN is a flexible forecasting technique that integrates regression trees, ridge regression, with radial basis function (RBF) neural networks (NN). We develop a new computational procedure using model selection based on information-theoretic principles...

This paper presents some estimates of the stock of the reserve army of labour, and flows into and out of the reserve army of labour for the postwar U.S. economy. Estimates of stocks are presented for the period 1948–2011 at a monthly frequency; 6 month moving average estimates of flows into and out of the reserve army of labour are presented for the period 1990–2011. Some interesting patterns i...

in this study, 99 isolates of rhizoctonia were recovered from root and crown samples of pistachio seedlings, and soil samples were collected from major pistachio orchards in kerman province. results revealed that 96 isolates were multinucleate and 3 binucleate. mnr belonged to ­ag-4. results of the pathogenicity tests carried out in the greenhouse, using pistachio isolates, revealed that all mn...

This paper analyses the stock market linkages of the selected Central and Eastern European (CEE) markets (Czech Republic – PX, Hungary – BUX and Poland – WIG20) with the Western European stock market represented by the German DAX and studies also the comovement between the individual CEE countries’ stock markets. The dynamic conditional correlation (DCC) models were used to model the co-movemen...

In this paper, we evaluate the performance of a number of forecasting models of U.S. business fixed investment spending growth over the recent 1995:1-2004:2 out-of-sample period at multiple forecast horizons. The forecasting models are based on the conventional Accelerator, Neoclassical, Average Q, and Cash-Flow models of investment spending, as well as empirical models developed more recently ...