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...

The negative consequences of financial instability for the world economy during the recent financial crisis have highlighted the need for a better understanding of financial conditions. We use a financial conditions index (FCI) for South Africa previously constructed from 16 financial variables...

This study investigates the predictability of 11 industrialized stock returns with emphasis on the role of U.S. returns. Using monthly data spanning 1980:2 to 2014:12, we show that there exist multiple structural breaks and nonlinearities in the data. Therefore, we employ methods that are...

We emphasize the role of news-based economic policy and equity market uncertainty indices as robust drivers of oil price fluctuations. In that, we utilizea new hybrid nonparametric quantile causality methodology in order to investigate whether EPU and EMU uncertainty measures incorporate...

We test the inertial properties of South African inflation in a Markov-Switching autoregressive fractionally integrated moving average model. This allows us to test for long memory and study the persistence of inflation in multiple regimes. We show that inflation is more volatile and persistent...

We try and detect whether there exists a threshold level of inflation for the US economy over 1801-2013, beyond which it has a negative effect on economic growth. We use a combination of nonparametric (NP) and instrumental variable semiparametric (SNP-IV) methods to obtain inflation thresholds...

This paper investigates causality between oil prices and the prices of agricultural commodities in South Africa. We use daily data covering the period April 19, 2005 to July 31, 2014 for oil prices and the prices of soya beans, wheat, sunflower and corn. The test for Granger causality in...

We compare inflation forecasts of a vector fractionally integrated autoregressive moving average (VARFIMA) model against standard forecasting models. U.S. inflation forecasts improve when controlling for persistence and economic policy uncertainty (EPU). Importantly, the VARFIMA model,...

Employing a dynamic model that captures herding under different market regimes we provide novel evidence on the herding behavior of US-listed Real Estate Investment Trusts (REITs). Our sample is extensive and covers the period from 2/1/2004 to 28/6/2013. Estimates of herding behavior are derived...

The conduct of inflation targeting is heavily dependent on accurate inflation forecasts. Non-linear models have increasingly featured, along with linear counterparts, in the forecasting literature. In this study, we focus on forecasting South African infl ation by means of non-linear models and...