Predicting United Arab Emirates' real effective exchange rates using oil prices

2019 ◽  
Vol 43 (4) ◽  
pp. 492-511
Author(s):  
Hamid Baghestani ◽  
Bassam AbuAl‐Foul
2020 ◽  
pp. 1-17
Author(s):  
HAMID BAGHESTANI ◽  
SEHAR FATIMA

Motivated by the theoretical link between real exchange rates and oil prices, we utilize a univariate moving average (MA) and an augmented MA (A-MA) model to generate multi-period forecasts of China’s real effective exchange rate for 2008–2018. The MA model utilizes past information in real exchange rates, and the A-MA model utilizes past information in both real exchange rates and oil prices. We show that the A-MA forecasts are unbiased and embody useful predictive information beyond that contained in the MA forecasts. In addition, the A-MA forecasts are directionally accurate under asymmetric loss. Such accurate forecasts are useful as inputs for policymakers to design an optimal real exchange rate policy to promote trade and attract foreign investment, and for foreign entities that regard China as an attractive environment for investing in various sectors.


Subject Gulf currency pegs. Significance The collapse in oil prices has led to some speculation that fiscal pressure may lead some Gulf Cooperation Council (GCC) countries to abandon their longstanding currency pegs to the dollar. Some oil exporters in other regions have abandoned their own pegs over the last year. One signal of market concern is the discounts now being applied to Gulf currency forwards, indicating a risk of devaluation, albeit relatively low. Impacts Foreign investors in the Gulf can remain confident of exchange rates. The transition to the long-planned Gulf monetary union will be delayed further until the 2020s. Real-effective exchange rates will remain overvalued, indicating poor international competitiveness.


2020 ◽  
Vol 13 (8) ◽  
pp. 164
Author(s):  
Jaime Marquez ◽  
Silvia Merler

This paper offers an empirical characterization of the relation between the international price of oil and exchange rates that is both useful and reliable. Our characterization is useful because it rests on information of asset prices that are determined in functioning asset markets. Our characterization is reliable because its maintained assumptions are not rejected by the data. Four features differentiate our work from previous analyses. First, our reliance on bilateral rates opens previously ignored financial arbitrage opportunities between oil prices and exchange rates. Second, our emphasis on statistical testing makes our characterization empirically reliable. Specifically, we use a vector-error correction modeling strategy in which both oil prices and exchange rates are endogenous. This framework allows testing for the existence of an arbitrage relation, for the direction of causality, for parameter constancy, for white noise residuals, and for forecast accuracy. Third our reliance on data through 2020 makes our analysis timely. Fourth, to emphasize the advantages of our approach, we compare our results to those derived for formulations relying on effective exchange-rate indexes.


2014 ◽  
pp. 74-89 ◽  
Author(s):  
Vinh Vo Xuan

This paper investigates factors affecting Vietnam’s stock prices including US stock prices, foreign exchange rates, gold prices and crude oil prices. Using the daily data from 2005 to 2012, the results indicate that Vietnam’s stock prices are influenced by crude oil prices. In addition, Vietnam’s stock prices are also affected significantly by US stock prices, and foreign exchange rates over the period before the 2008 Global Financial Crisis. There is evidence that Vietnam’s stock prices are highly correlated with US stock prices, foreign exchange rates and gold prices for the same period. Furthermore, Vietnam’s stock prices were cointegrated with US stock prices both before and after the crisis, and with foreign exchange rates, gold prices and crude oil prices only during and after the crisis.


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