Currency Centrality and Exchange Rate Volatility in Global Foreign Exchange Network

2020 ◽  
Vol 11 (2) ◽  
pp. 511-520
Author(s):  
Myoungshik Choi ◽  
Iljung Seo
2021 ◽  
Vol 9 ◽  
Author(s):  
Abdul Saqib ◽  
Tze-Haw Chan ◽  
Alexey Mikhaylov ◽  
Hooi Hooi Lean

Growing energy demand but stagnant production followed by volatile exchange rate leads Pakistan to energy imbalances and potential economic contraction. Yet, studies on sectoral energy imports are limited and inconclusive without accessing the asymmetric effect of currency fluctuations. We examine the impacts of Pakistani rupee volatility on monthly energy imports based on the nonlinear autoregressive distributed lag (NARDL) estimations. Augmented Dickey–Fuller and Phillips–Perron tests were used to conduct unit root testing, and the bound testing approach was used to examine the long-term cointegration. The long-run asymmetry was tested with the Wald test, and using the NARDL model, we examined both short-run and long-run asymmetric effects of exchange rate volatility on energy imports. The bound test was established and supported through ECMt−1 (t-test), cointegrating the relationship between exchange rate volatility and energy imports in a long term. Among others, both short-run and long-run asymmetric effects were found for crude oil, coal, electricity, and petroleum products. Rupee depreciation increased crude oil and electricity imports, while the appreciation effects were insignificant. Overall, the empirical assessment reveals that the foreign exchange volatility effect is sectoral specific and asymmetric in Pakistan. It offers new insights into re-strategizing the energy policy and refining the import substitution plan.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
James Temitope Dada

PurposeThe purpose of this study is to examine the effect of asymmetric structure inherent in exchange rate volatility on trade in sub-Saharan African countries from 2005 to 2017.Design/methodology/approach17 countries in sub-Saharan African Countries are used for the study. Exchange rate volatility is generated using generalised autoregressive conditional heteroscedacity (1,1), while the asymmetric components of exchange rate volatility are generated using a refined approach of cumulative partial sum developed by Granger and Yoon (2002). Two-step generalised method of moments is used as the estimation technique in order to address the problem of endogeneity, commonly found in panel data.FindingsThe result from the study shows the evidence of exchange rate volatility clustering which is strictly persistent in sub-Saharan African countries. The asymmetric components (positive and negative shocks) of exchange rate volatility have negative and significant effect on trade in the region. Meanwhile, the effect of negative exchange rate volatility is higher on trade when compared with the positive exchange rate volatility. Furthermore, real exchange rate has negative and significant effect on trade in sub-Saharan African countries.Research limitations/implicationsThe outcomes of this study are important for participants in foreign exchange market. As investors in foreign exchange market react more to the negative news than positive news, investors need to diversify their risk. Also, regulators in the market need to formulate appropriate macroeconomic policies that will stabilize exchange rate in the region.Originality/valueThis study deviates from extant studies in the literature by incorporating asymmetric structure into the exchange rate trade nexus using a refined approach.


2016 ◽  
Vol 7 (2) ◽  
pp. 205-224 ◽  
Author(s):  
Emmanuel Carsamer

Purpose – The concept of volatility transmission and co-movement has witnessed a resurgence in the international finance literature in recent years after the black swan events which gave evidence of financial market linkages. The purpose of this paper is to examine the dynamic sources of volatility transmission in the foreign exchange market in recent financial market integration in Africa. Design/methodology/approach – A conceptual framework was adapted from the extant literature and was used as the basis of modeling exchange rate volatility transmission. This paper adopts a quantitative research approach and opts for augmented DCC model to empirically unearth the sources of exchange rate volatility transmission. Findings – The key findings of the study are that, the African market is more prone to shock from outside than in the region. Macroeconomic news surprises influence volatility transmission and co-movements. Robust support is found for trade balance, interest rate and gross domestic product. These findings clearly demonstrate the low level of financial development and challenges that sometimes exist in exchange rate-policy implementation by policy makers. Research limitations/implications – Interested academics and practitioners working in the area might incorporate bilateral investment into the model of exchange rate correlation in future research. Originality/value – Unilaterally considering exchange rate volatility transmission and subsequent augmentation of the DCC model, this study makes a modest contribution to the examination of exchange rate correlations in Africa. This study makes an important contribution in not only addressing this imbalance, but more importantly improving the relative literature on exchange rate volatility transmission.


2019 ◽  
Vol 2 (1) ◽  
pp. 1-10
Author(s):  
RAAD MOZIB LALON

This paper attempts to reveal whether the foreign exchange (FX) derivatives market effectively and efficiently reduces the volatility to foreign exchange rate fiuctuations. Cross-country evidence suggests that development ofthe FXderivatives market does not boost up spot exchange rate volatility and reduces aggregate exposure to currency risk. Intraday evidence for Chile shows that activity in the forward market has not been associated with higher volatility in the exchange rate following the adoption ofa fioating exchange rate regime. The study also found no evidence that net positions of large participants in the FX derivatives market help to predict the exchange rate. These findings support the view that development of the FX derivatives market is valuable to reduce aggregate currency risk.


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