This paper examines the causal link between economic policy uncertainty and stock returns in China and India, using bootstrap Granger full-sample causality test and sub-sample rolling window estimation. We use monthly data covering from 1995:02 to 2013:02 for China and 2003:02-2013:02 for India....

This paper examines the causal relationship between economic policy uncertainty (EPU) and equity market uncertainty (EMU) in the US using linear and nonlinear Granger causality tests. We use daily data on the newly developed indexes by Baker et al. (2013) covering 1985:01:01 to 2013:06:14....

This paper makes two contributions to the growing literature on the military expenditureeconomic growth nexus. It provides a case study of a developing country, South Africa, and considers the possibilities of structural breaks in the relationship, applying newly developed econometric methods....

This paper investigates the direction of causal relationship between taxes and expenditure in South Africa, using quarterly data for the period 1960:1-2006:2, and annual data for 1960 to 2005. For both frequencies, gross domestic product and government debt are included in the VAR system as...

This paper investigates the in-sample predictability of debt ceiling and government shutdown for real stock returns in the U.S, using rolling window Granger non-causality estimation. Causal links often evolve over time so the use of the bootstrap rolling window approach will account for...

The aim of this paper is to investigate the causal relationship between agricultural prices in South Africa and global oil prices. A nonlinear Granger causality test based on moment conditions, introduced by Nishiyama et al (2011) is employed and we find that there is indeed a causal...

This paper examines the causal relationships between the real house price index and real GDP per capita in the U.S., using the bootstrap Granger (temporal) non-causality test and a fixed-size rolling-window estimation approach. We use quarterly time-series data on the real house price index and...