Goodness C. Aye

Dr. Goodness C. Aye

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in Cogent Economics & Finance
Verified
Journal Article
Open access
GAGoodness C. Aye
Goodness C. Aye
WPWai Ching Poon
Wai Ching Poon
This paper examines whether economic policy uncertainty (EPU) causes real housing returns in 8 emerging economies for which EPU data are available namely: Brazil, Chile, China, India, Ireland, Russia, South Africa and South Korea. Quarterly data were used for the analysis. The study uses cross-sample validation (CSV) Granger causality approach which obviates the need to partition the data into an in-sample and out-of-sample periods when limited data are available as in this study. Results based on the CSV full sample period indicate no evidence of economic policy uncertainty Granger causing real housing returns except for Chile and China. However, based on CSV rolling window results, there is evidence of time varying causality in all the countries except India. The implications of these findings are drawn.

3 February 2016 in Empirical Economics
Verified
Journal Article
Closed access
PDF file
OAOmokolade Akinsomi
Omokolade Akinsomi
GAGoodness C. Aye
Goodness C. Aye
VBVassilios Babalos
Vassilios Babalos
FEFotini Economou
Fotini Economou
Rangan GuptaRangan Gupta
Rangan Gupta

4 April 2018 in Quality & Quantity
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Journal Article
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GAGoodness C. Aye
Goodness C. Aye
MCMatthew Clance
Matthew Clance
RGRangan Gupta
Rangan Gupta

1 January 2018 in Cogent Economics & Finance
Verified
Journal Article
Open access
JCJunior T. Chiweza
Junior T. Chiweza
GAGoodness C. Aye
Goodness C. Aye
LCLanouar Charfeddine
Lanouar Charfeddine
This paper investigates the link between oil price uncertainty shocks and key macroeconomic indicators of a net oil importing country, South Africa. Monthly data covering the period 1990:01 to 2015:12 is used. The Structural Vector Autoregressive (SVAR) methodology is applied incorporating realized volatility as an indicator of oil price uncertainty to investigate the short run effects of oil price uncertainty. The Generalised Impulse Response Functions (GIRF) analysis reveals that for most variables, oil price uncertainty shock has an adverse and persistent effect over time. Consistent with GIRF, the Generalised Forecast Error Variance Decompositions (GFEVDs) analysis also points out that oil price uncertainty shocks contributes substantially to variations in real output, inflation and various macroeconomic variables of South Africa. Therefore, SVAR analysis reveals the significant role of exogenous oil prices on the economy of South Africa when price uncertainty shocks exist. The policy implications of these findings are drawn.

31 December 2015 in Empirica
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Journal Article
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GAGoodness C. Aye
Goodness C. Aye
Mehmet BalcilarMehmet Balcilar
Mehmet Balcilar
Rangan GuptaRangan Gupta
Rangan Gupta

1 October 2021 in Resources Policy
Verified
Journal Article
Closed access
GAGoodness C. Aye
Goodness C. Aye
NONicholas M. Odhiambo
Nicholas M. Odhiambo