The paper is concerned with time series analysis of GDP growth and returns of securities market indices. The main goal was to identify cyclical patterns in the examined series and to demonstrate correlation among the individual series. First part of the paper presents deals with fitting the...

This paper provides evidence on the causes of movements in monthly UK stock prices, examining the role of macroeconomic and financial variables in a nonlinear framework. We allow for time-varying effects through the use of smooth transition models. We find that past changes in the dividend yield...

This paper proposes a simple direct testing procedure to distinguish a linear unit root process from a globally stationary three-regime self-exciting threshold autoregressive process. We derive the asymptotic null distribution of the Wald statistic, and show that it does not depend on unknown...

In this Paper, we study the short-run and long-run comovement between prices and real activity in the G7 countries during the postwar period using VAR forecast errors and frequency domain filters. We find that there are several patterns of the correlation coefficients that are the same in all...

A new LM specification procedure to choose between Logistic and Exponential Smooth Transition Autoregressive (STAR) models is introduced. The new decision rule has better properties than those previously available in the literature when the model is ESTAR and similar properties when the model is...

This paper examines the performance of various statistical models and commonly used financial indicators for forecasting securitised real estate index returns for five European countries: the UK, Belgium, The Netherlands, France and Italy. Within a VAR framework it is demonstrated that the...

This paper examines possible nonlinearities in growth rates of nine U.K. macroeconomic time series, namely gross domestic product, price, consumption, retail sales, personal disposable income, savings, investment, industrial production and unemployment, chosen as representative of series...