In this paper we test the forecasting ability of three estimated financial conditions indices (FCIs) with respect to key macroeconomic variables of output growth, inflation and interest rates. We do this by forecasting the aforementioned macroeconomic variables based on the information contained...

This paper provides out-of-sample forecasts of Nevada gross gaming revenue and taxable sales using a battery of linear and non-linear forecasting models and univariate and multivariate techniques. The linear models include vector autoregressive and vector error-correction models with and without...

This paper revisits the causality relationship between electricity consumption and economic growth in South Africa for the period 1971-2009 using annual data and takes into consideration time variation in causal relationships using bootstrap rolling Granger non-causality tests. Full-sample...

The paper examines the relationship between energy consumption and economic growth for South Africa for the period 1971-2009. Most studies examining this relationship do assume that it remains constant through the years; however the reality might be different since many factors can affect the...

This paper investigates the impact of macroeconomic effects of uncertainty on the conditional volatility of US-listed Real Estate Investment Trusts (REITs). To this end we employ three widely accepted US REITs indices and the two uncertainty indices constructed by Baker et al. (2013). Our sample...

This paper uses small set of variables-- real GDP, the inflation rate, and the short-term interest rate -- and a rich set of models -- athoeretical and theoretical, linear and nonlinear, as well as classical and Bayesian models -- to consider whether we could have predicted the recent downturn...

In this paper we examine the real estate returns predictability employing US REITs and a set of possible predictors for the period January 1991 to September 2013. To this end we employ several forecasting models to test for REITs predictability under a flexible framework that captures parameter...

Forecasting aggregate retail sales may improve portfolio investors’ ability to predict movements in the stock prices of the retailing chains. Therefore, this paper uses 26 (23 single and 3 combination) forecasting models to forecast South Africa’s aggregate seasonal retail sales. We use data...