We examine dynamic correlations between housing market returns and economic policy uncertainty in the United States. Our findings suggest that correlations are time-varying and sensitive to economic fundamentals and US recessions.

Recent empirical evidence based on a linear framework tends to suggest that a Markov-switching version of the consumption-aggregate wealth ratio (cayMS), developed to account for structural breaks, is a better predictor of stock returns than the conventional measure (cay) – a finding we...

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 examines the dynamic causal relationship between global oil price and South Africa’s food price using both full sample and time varying Granger causality tests. Monthly data from 2000:1 to 2014:6 is used. Result from the linear full sample Granger causality result shows no evidence...

Oil prices have become increasingly important to determine indicators such as inflation; this in turn affects savings and investments. This paper investigates the impact of the volatility of oil prices on savings in South Africa using quarterly data covering the period 1960 to 2014. The study...

This paper examines the impact of oil price uncertainty on South Africa’s stock returns using weekly data that covers the period 1995:07:01 to 2014:08:30. The measure of oil price uncertainty is the conditional standard deviation of the one-step-ahead forecast error for the change in the price...

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...

In this paper, we examine the effects of money supply, portfolio, aggregate spending, and aggregate supply shocks on real US stock prices in a structural vector autoregression framework using quarterly data for the period of 1947:1-2011:3. Overall, the empirical results indicate that each macro...

We implement several Bayesian and classical models to forecast employment for eight sectors of the US economy. In addition to standard vector-autoregressive and Bayesian vector autoregressive models, we also include the information content of 143 additional monthly series in some models. Several...