2016
DOI: 10.1080/15567249.2014.966927
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Does the SARB respond to oil price movements? Historical evidence from the frequency domain

Abstract: Causality testing procedures in the frequency domain and the time domain are employed to analyse the relationship between oil prices and interest rate in South Africa, covering the time period 1936:1 to 2013:11. Results show that the time domain Granger causality test fails to reject the null hypothesis for the full-sample, and the test rejects the null hypothesis for the 3rd sub-sample (1998:12-2013:11), following structural break tests. Results for the frequency domain causality test show that, for both of t… Show more

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Cited by 6 publications
(1 citation statement)
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“…This is because of its ability to affect the stock market through changes in expected cash flows and/or the discount rate, output, monetary and fiscal policy decisions, as well as macroeconomic and financial uncertainties (Degiannakis et al, 2018;Smyth and Narayan, 2018). In the context of South Africa, the significant impact of oil shocks on wide array of recent movements of economic and financial variables (including the stock market) is quite well-established (see for example, Gupta and Modise (2013b), Chisadza et al, (2016), Aye et al, (2017b), Balcilar et al, (2017Balcilar et al, ( , 2018a, , ), and hence can be expected to be an encapsulating metric for the information contained in such predictors.…”
Section: Introductionmentioning
confidence: 99%
“…This is because of its ability to affect the stock market through changes in expected cash flows and/or the discount rate, output, monetary and fiscal policy decisions, as well as macroeconomic and financial uncertainties (Degiannakis et al, 2018;Smyth and Narayan, 2018). In the context of South Africa, the significant impact of oil shocks on wide array of recent movements of economic and financial variables (including the stock market) is quite well-established (see for example, Gupta and Modise (2013b), Chisadza et al, (2016), Aye et al, (2017b), Balcilar et al, (2017Balcilar et al, ( , 2018a, , ), and hence can be expected to be an encapsulating metric for the information contained in such predictors.…”
Section: Introductionmentioning
confidence: 99%