<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Ghana’s economy is characterised by acute exchange rate volatility alongside persistent and high consumer inflation. This places the economy among the sub-Saharan African countries with the highest inflation over the years. Therefore, we explore in-sample and out-of-sample macro-volatility spillovers to determine the effectiveness of monetary policy and also ascertain the relevance of the exchange rate in Ghana’s interest rate setting at both time and multiscale domains. The study reveals scale-dependent interconnectedness among the macro-variables as their causal linkages broadly intensify at the longer time-scale. We find the real policy rate and the exchange rate to be net transmitters of shocks, while inflation and output gaps are net receivers of shocks from the system. Output gap, however, is the largest net receiver of shocks from the system. The empirical findings generally buttress the prerequisite to uphold exchange rate stability in order to inure general macroeconomic stability in Ghana. In addition, the extent of spillover dynamics from policy interest rate to and from the targeted macro-variables (particularly output gap and inflation) appears to be moderate even in the long run, surmising less effective monetary policy transmission in Ghana.</p></abstract>

Ghana’s economy is characterised by acute exchange rate volatility alongside persistent and high consumer inflation. This places the economy among the sub-Saharan African countries with the highest inflation over the years. Therefore, we explore in-sample and out-of-sample macro-volatility spillovers to determine the effectiveness of monetary policy and also ascertain the relevance of the exchange rate in Ghana’s interest rate setting at both time and multiscale domains. The study reveals scale-dependent interconnectedness among the macro-variables as their causal linkages broadly intensify at the longer time-scale. We find the real policy rate and the exchange rate to be net transmitters of shocks, while inflation and output gaps are net receivers of shocks from the system. Output gap, however, is the largest net receiver of shocks from the system. The empirical findings generally buttress the prerequisite to uphold exchange rate stability in order to inure general macroeconomic stability in Ghana. In addition, the extent of spillover dynamics from policy interest rate to and from the targeted macro-variables (particularly output gap and inflation) appears to be moderate even in the long run, surmising less effective monetary policy transmission in Ghana.

Interest Rate and Exchange Rate Volatility Spillovers: Multiscale Perspective of Monetary Policy Transmission in Ghana

Journal of Central Banking Theory and Practice

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Ghana’s economy is characterised by acute exchange rate volatility alongside persistent and high consumer inflation. This places the economy among the...

Interest Rate and Exchange Rate Volatility Spillovers: Multiscale Perspective of Monetary Policy Transmission in Ghana

Online veröffentlicht: 28. Jan. 2020

Seitenbereich: 135 - 167

Eingereicht: 21. Feb. 2019

Akzeptiert: 27. Juni 2019

DOI: https://doi.org/10.2478/jcbtp-2020-0008

Schlüsselwörter
Volatility Spillover, Nonlinear Causality, Variance Decomposition, Multi-scale

© 2019 Nana Kwame Akosah et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Interest Rate and Exchange Rate Volatility Spillovers: Multiscale Perspective of Monetary Policy Transmission in Ghana

Online veröffentlicht: 28. Jan. 2020

Seitenbereich: 135 - 167

Eingereicht: 21. Feb. 2019

Akzeptiert: 27. Juni 2019

DOI: https://doi.org/10.2478/jcbtp-2020-0008

SchlüsselwörterVolatility Spillover, Nonlinear Causality, Variance Decomposition, Multi-scale

© 2019 Nana Kwame Akosah et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Volatility Spillover, Nonlinear Causality, Variance Decomposition, Multi-scale