This paper makes use of two types of extreme value distributions, namely: the generalised extreme value distribution often referred to as the block of maxima method (BMM), and the peak-over-threshold method (POT) of the extreme value distributions, to model the financial tail risks associated...

The paper empirically analyzes the effect of oil price shocks on China’s economy with special interest in the response of the Chinese interest rate to those shocks. Using different econometric models, i) a time-varying parameter structural vector autoregression (TVP SVAR) model with short-run...

This paper seeks to evaluate the appropriateness of a variety of existing forecasting techniques (17 methods) at providing accurate, and statistically significant forecasts for gold price. We report the results from the 9 most competitive techniques. Special consideration is given to the ability...

This paper analyses the statistical properties of five major precious metal prices (gold, silver, rhodium, palladium and platinum) based the fractional integration modelling framework while identifying structural breaks. We use monthly data from 1972:1 to 2013:12. Our results indicate orders of...

In this paper, we analyze symmetric and asymmetric causal relationship between energy consumption and economic growth in time and frequency domains, using annual data covering the period of 1965-2012. In general, our results tend to suggest that energy consumption causes growth, especially the...

Accurate forecasts of home sales can provide valuable information for not only, policy makers, but also financial institutions and real estate professionals. Given this, our analysis compares the ability of two different versions of Singular Spectrum Analysis (SSA) methods, namely Recurrent SSA...

This paper considers the forecasting performance of a nonlinear dynamic stochastic general equilibrium (DSGE) model. The results are compared with those of a wide selection of competing models, which include a linear DSGE model and a variety of vector autoregressive (VAR) models. The parameters...

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

This study applies bootstrap panel causality, proposed by Kónya (2006), to investigate causal link between political uncertainty and stock price for seven OECD countries over the monthly period of 2001.01 to 2013.04. This modeling approach allows us to examine both the cross-sectional...

This paper develops a monetary endogenous growth overlapping generations model characterized by production lags - specically lagged capital inputs - and an in ation targeting monetary authority, and analyses the growth dynamics that emerge from this framework. The growth process is endogenized...