Modeling Volatility of Exchange Rate of Chinese Yuan against US Dollar Based on GARCH Models

Author(s):  
Marggie Ma ◽  
Jiangze Du ◽  
Kin Keung Lai
Author(s):  
Ejem Chukwu Agwu ◽  
Ogbonna Udochukwu Godfrey

This study modeled volatility and daily exchange rate movement in Nigeria with daily exchange rate between Nigeria Naira and US Dollar from January 2, 2001 to May 20, 2019 collected from the Central Bank of Nigeria (CBN). The results of the estimated models revealed that conditional variance (volatility) has positive and significant relationship with exchange rate returns between Nigeria Naira and US Dollars, which corroborates the theory that predicts positive relationship between return and volatility for risk averse investors. Also found that exchange rate volatility between Naira / US Dollar is persistent. It was also discovered that goods news produces more volatility than bad news of equal magnitude. The researchers therefore suggested that the Central Bank of Nigeria should always proffer timely intervention to reduce the volatility persistence. This will go a long way to counteract or moderate the excess volatility between Naira and US Dollar transactions.


2016 ◽  
Vol 61 (02) ◽  
pp. 1640021 ◽  
Author(s):  
GUNTHER SCHNABL ◽  
KRISTINA SPANTIG

The East Asian monetary integration process is at the crossroads. Given very benign liquidity conditions in the US, the prevailing common US dollar peg has contributed to growing macroeconomic and financial instability in the region. This has sparked demands to embark on an independent monetary integration process in East Asia. The paper shows that, however, neither the Japanese yen nor the Chinese yuan can challenge the US dollar as anchor currency in the region. Large fluctuations of the Japanese yen against the US dollar have undermined the potential of the Japanese yen to become a regional anchor currency. Exchange rate stability of the Chinese yuan against the US dollar has enhanced intra-regional exchange rate stability and growth, stressing the potential of the Chinese yuan to emerge as a regional anchor currency. Yet, it is shown that underdeveloped Chinese capital markets and financial repression originating in US low interest rate policies constitute an insurmountable impediment for the Chinese yuan to gain anchor currency status in East Asia. Empirical estimations provide evidence in favor of positive growth effects of the exchange rate stability against the US dollar in East Asia.


2015 ◽  
Vol 51 (4) ◽  
pp. 1399-1414 ◽  
Author(s):  
Carlos P. Barros ◽  
Luis A. Gil-Alana ◽  
Zhongfei Chen
Keyword(s):  
The Us ◽  

Author(s):  
Ajayi Abdulhakeem ◽  
Samuel Olorunfemi Adams ◽  
Rafiu Olayinka Akano

This paper examines the exchange rate volatility with GARCH-type model of the daily exchange rate return series from January 2012 – August 2016 for Naira/Chinese Yuan, Naira/India Rupees, Naira/Spain Euro, Naira/UK Pounds and Naira/US Dollar returns. The studies compare estimates of variants of GARCH (1, 1), EGARCH (1, 1), TGARCH (1,1) and GJR-GARCH (1,1) models. The result from all models indict presence of volatility in the five currencies and equally indicate that most of the asymmetric models rejected the existence of a leverage effect except for models with volatility break. For GARCH (1, 1), GJR-GARCH (1, 1,) EGARCH (1,1) and TGARCH (1, 1), it was observed that India have the best exchange rate with the highest log-likelihood (Log L) and the lowest AIC and BIC followed by USA, China, Spain and United Kingdom respectively. The four models was later compared for the exchange rates of the five countries under consideration i.e. China, India, Spain, UK and USA  to select the best fitted model for each country and it was discovered that GJR-GARCH (1,1) is the best fitted model for all the countries followed by GARCH (1,1), TGARCH (1,1) and EGARCH (1,1) in that order.


2021 ◽  
Vol 3 (1) ◽  
pp. 18-41
Author(s):  
Agya Atabani Adi ◽  
Amadi W. Kingsley ◽  
David Vincent Hassan

This paper employed variant GARCH models to examined official, interbank and Bureau de change returns volatilities. Using monthly exchange rate of Naira/USD from January 2004 to September 2020 (2004:1-2020:9), the returns were not normally distributed and stationary at level. Ljung-Box Q statistic and Ljung-Box Q2 statistics of power transformed using power 0.25, 0.5 and 0.75 for conditional heteroscedasticity for lags of 6, 12 and 20 indicated present of conditional heteroscedascity in all returns. The study found exchange rate volatility in Official, interbank and Bureau de change exchange rate returns were persistent. However, Bureau de change return was more persistent while official exchange rate return was the least persistent. Also, leverage effect exist in all the three exchange rate returns and asymmetric model were the best model for estimating exchange rate return while IGARCH was the worst model to estimate exchange rate return in Nigeria. There is need to incorporate news impact when developing exchange rate policy by monetary authority in Nigeria.


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