scholarly journals Dependence Structures Between Sovereign Credit Default Swaps and Global Risk Factors in Brics Countries

Author(s):  
Prayer Rikhotso ◽  
Beatrice D. Simo-Kengne

This study examined the tail dependency structure of sovereign credit risk and three global risk factors in BRICS countries using copulas approach, which is known for its ability to provide the “true” tail correlation based on the correct marginal distribution. The empirical results show that global market risk sentiment comoves with sovereign CDS spreads across BRICS countries under extreme market events, with Brazil having the highest co-dependency followed by China, Russia, and South Africa. Furthermore, oil price volatility is the second biggest risk factor correlated with sovereign CDS spreads for Brazil and South Africa while exchange rate risk exhibits very small co-dependence with sovereign CDS spreads under extreme market conditions dominated by tail events. On the contrary, exchange rate risk is the second largest risk factor co-moving with China and Russia’s sovereign CDS spreads while oil price volatility exhibits the lowest co-dependence to CDS in these countries. Between oil price and currency risk, evidence of single risk factor dominance is found for Russia where exchange rate risk is largely dominant. These results suggest that BRICS policymakers might consider financial sector regulations that mitigate risks spill-over such as targeted capital controls when markets are distressed.

2020 ◽  
Vol 17 (4) ◽  
pp. 35-50
Author(s):  
Mariam Alenezi ◽  
Ahmad Alqatan ◽  
Obby Phiri

This study seeks to investigate the sensitivity of stock returns to exchange rate, interest rate and oil price volatility in the Gulf Cooperation Council (GCC) countries. It employs both the multivariate ordinary least square (OLS) regression and the exponential generalized autoregressive conditional heteroscedastic in mean (EGARCH-M) models to analyse the data collected from Bloomberg and DataStream on the GCC countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates) for the period January 2007 to June 2012. The study shows that stock returns in GCC countries are influenced by the exchange rate risk, interest rate risk and oil price risk. However, the exposure is highest for exchange rate risk and lowest for interest rate risk. While the effects of these risks were mixed, overall, exchange rate risk and oil price risk showed a positive and significant relationship as compared to the interest rate risk that showed a negative significant effect on firm values. The level of the effect of these risks also differed from country to country. Further, foreign operations and firm size had a significant influence on the extent of the firms’ exposure to all three risks. The study findings suggest that the volatility of stock returns affected by changes in the risk factors could indicate non-prioritisation of risk management by firms. This has implications in terms of consideration of the long-term exposure of firms to these three risks and thus, the need for effective risk management strategies.


Author(s):  
Hakan Öner ◽  
Hande Kılıç Satıcı

Gold and oil price volatilities are thought to have an impact on financial markets. The main aim of this study is to examine the effects of changes in gold and oil prices on Turkish financial markets. For this purpose, the effects of gold and oil price volatilities on nominal US dollar/Turkish lira exchange rate, Borsa Istanbul 100 Index and Turkey 10-year bond interest rates are used to represent Turkish financial markets are analysed by Granger Casuality Test. The study comprises daily data over the period of June 1, 2010 - April 30, 2017. According to the results of the analysis, there is no causality relationship from gold and oil prices to Turkish financial markets. On the other hand, it is concluded that there is a one-way causality relationship from BIST100 index to Turkey 10-year bond interest rate and two-way causality relationship between BIST 100 index and nominal US dollar/Turkish lira exchange rate.


2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Farhat Iqbal ◽  
Abdul Raziq

This paper studies the association between price of crude oil and the Pakistani Rupee-US Dollar exchange. Asymmetric power autoregressive conditional heteroscedastic (APARCH) model is used to measure the influence of oil price on the nominal exchange rate using daily data of extreme oil price volatility (2006 – 2013). This model is found to fit the data well and the results reveal a high degree of volatility persistence and leverage effect in returns. This study also establishes a positive association between currency exchange rate and oil price. These findings provide insight into the transmission link between the global oil market and exchange rate.


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