During the last decades many financial analysts, either theorists or practitioners, have dedicated their studies to the interactions between different financial sectors. The results of these researches confirm that commodities, bonds and stock markets are closely related, therefore a thorough...

Since times of Yule (1926), it is known that correlation between two time series can produce spurious results. Granger and Newbold (1974) see the roots of spurious correlation in non-stationarity of the time series. However the study of Granger, Hyung and Jeon (2001) prove that spurious...

Проаналізовано довгостроковий тренд впливу іноземних фондових бірж на динаміку українського фондового ринку, зокрема на динаміку його організованого сегменту...

In this study, we investigate forecasting performance of various univariate and multivariate models in predicting inflation for different horizons. We design our forecast experiment for the post-oil boom years of 2010-2014 and compare forecasting ability of the different models with that of...

This paper estimates a stylized search and matching model on data for Australia covering the period 1978-2008. Using Bayesian methods we find that the model does a fairly good job in replicating the data. Surprisingly, we find a large value for the worker’s bargaining power and low vacancy...

This paper estimates with the Bayesian methods a CES production function for Singapore for 1960-2009. It is found that the elasticity of substitution is 0.6, technical progress is labour augmenting and the steady state growth rate of Singapore is about 1.8%.

An expanding literature articulates the view that Taylor rules are helpful in predicting exchange rates. In a changing world however, Taylor rule parameters may be subject to structural instabilities, for example during the Global Financial Crisis. This paper forecasts exchange rates using such...

In this paper, we study main problems and practical issues of modeling and forecasting of macroeconomic variables in the national economy. For that, we employ astructural VAR models and estimate interdependencies among different economic variables. Initial data analysis of macroeconomic...

This paper extends the Nelson-Siegel linear factor model by developing a flexible macro-finance framework for modeling and forecasting the term structure of US interest rates. Our approach is robust to parameter uncertainty and structural change, as we consider instabilities in parameters and...

This paper examines the predictive content of coincident variables for monitoring U.S. recessions in the presence of instabilities. We propose several specifications of a probit model for classifying phases of the business cycle. We find strong evidence in favor of the ones that allow for the...