scholarly journals MODELING AND FORECASTING EXCHANGE RATE VOLATILITY IN EEC COUNTRIES

2019 ◽  
Vol 6 (11) ◽  
Author(s):  
Siniša Miletić ◽  
Dragan Milošević
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Absolute Error ◽  
Symmetric Model ◽  
Test Results ◽  
The Us ◽  
Modeling And Forecasting ◽  
Asymmetric Garch ◽  
The Mean ◽  
Meansquare Error

This main objective of this paper is to examine the properties of the GARCHmodel and its usefulness in modeling and forecasting the volatility of exchange ratemovements in selected EEC countries (Romania, Hungary and Serbia). The dailyreturns of exchange rates on Hungarian forint (HUF), Romanian lei (ROL) andSerbian dinar (RSD), all against the US dollar are analyzed during the period 03.January 2000 to 15. April 2013 in respect. In order to measure the involved risk,symmetric and asymmetric GARCH models are applied. The accuracy of exchangerate volatility forecast is evaluated through reference to the most commonly usedcriteria. These include a Mincer-Zarnowitz regression based test, Mean AbsoluteError (MAE), Root Mean Square Error (RMSE) and Diebold and Mariano test (DMtest). The results of Mincer-Zarnowitz regression test for selected exchange ratereturn series showed a clear lack of explanotory power and sub-optimality of theTGARCH model. The results of the Mean Absolute Error (MAE) and the Root MeanSquare Error (RMSE) for the forecasted volatility showed that symmetric modelbetter predict conditional variance of the exchange rate returns, but estimating resultsindicating that the parameters of forecasts are not satisfactory, i.e. models have littlepredictive power. Results for Diebold-Mariano test results for Diebold-Mariano testshowed that symmetric model outperforming TGRACH forecast in case of Hungarianforint and Serbian dinar sample series, and that only in case of Romania lei TGARCHoutperforming the GARCH forecast.

Real Exchange Rate Behavior under Peg: Evidence from the Chinese RMB and Malaysian MYR

2009 ◽  
Vol 12 (01) ◽  
pp. 141-158 ◽  
Author(s):  
Yongjian E ◽  
Anthony Yanxiang Gu ◽  
Chau-Chen Yang
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Real Exchange Rate ◽  
Real Exchange Rates ◽  
Exchange Rate Volatility ◽  
The Us ◽  
Rate Behavior ◽  
Japanese Yen ◽  
Chinese Yuan ◽  
Real Exchange Rate Volatility

The exchange-rate behavior of the Chinese yuan (RMB) and the Malaysian ringgit (MYR) indicates that the real exchange rate volatility of both the pegged currency/the anchor currency (the US dollar), and the pegged currency/the non-anchor currencies (Japanese yen and British pound) are lower under the pegged regime. The dynamic behavior of the pegged currencies' real exchange rates is consistent with the anchor currency as the speed of convergence of the Big Mac real exchange rates of the RMB, MYR, and the dollar against the floating currencies are almost identical during the pegged period. This may be due to similar inflation rate movements in the related economies. These results do not support the opinion that China has manipulated the value of its currency.

MANAGING EXCHANGE RATE VOLATILITY: A COMPARATIVE COUNTERFACTUAL ANALYSIS OF SINGAPORE, 1994–2003

2009 ◽  
Vol 54 (04) ◽  
pp. 543-568 ◽  
Author(s):  
PETER WILSON ◽  
HENRY SHANG REN NG
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Regime ◽  
East Asian ◽  
Exchange Rate Volatility ◽  
Rate System ◽  
The Us ◽  
Floating Exchange Rate ◽  
Effective Exchange ◽  
Exchange Rate System ◽  
Effective Exchange Rate

This paper looks at how Singapore's exchange rate regime has coped with exchange rate volatility, by comparing the performance of Singapore's actual regime in minimizing the volatility of the nominal effective exchange rate (NEER) and the bilateral rate against the US dollar with some counterfactual regimes and the corresponding performance of eight other East Asian countries. In contrast to previous counterfactual exercises, we apply a more disaggregated methodology for the trade weights, a larger number of trade partners and ARCH/GARCH techniques to capture the time-varying characteristics of volatility. Our findings confirm that Singapore's managed floating exchange rate system has delivered relatively low currency volatility. Although there are gains in volatility reduction for all countries in the sample from the adoption of either a unilateral or a common basket peg, particularly post-Asian crisis, these gains are relatively low for Singapore, largely because of low actual volatility. There are additional gains for non-dollar peggers from stabilizing intra-east Asian exchange rates against the dollar if they were to adopt a basket peg, especially post-crisis, but the gains for Singapore are again relatively modest. Finally, the conclusion from previous counterfactual studies that there is little difference between a unilateral basket peg and a common basket peg in terms of stability reduction is confirmed.

scholarly journals Exchange Rate Volatility: Asymmetric Effects

2011 ◽  
Vol 19 (3) ◽  
Author(s):  
Lucy Dobano
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Risk Premium ◽  
Exchange Rate Volatility ◽  
Common Factors ◽  
Parametric Models ◽  
Time Varying ◽  
Asymmetric Effects ◽  
The Us ◽  
Us Dollar

This paper studies the evolution of the daily exchange rates volatilities of five european currencies against the US dollar. The aim of this paper is to perform whether there are common factors in the evolution of these exchange rates flexibles during stability and unstability periods. Several alternative models have been proposed in the literature o to the model time varying volatilities. In this paper, we fit two parametric models, GARCH and GJR-GARCH for the years 1992 to 1993 and 1995 to 1997. We will show how these models within-sample estimates of volatility can be captured asymetric effects of news, specially in periods with high speculation. Summarizing, we can conclude that these results have the atractive over the exchange rate flexible markets, particularly in the risk premium exchange rate manage.

scholarly journals Prediction by using Artificial Neural Networks and Box-Jenkins methodologies: Comparison Study

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Mohammed Habib Al- Sharoot ◽  
Emaan Yousif Abdoon
Keyword(s):  
Neural Networks ◽  
Exchange Rate ◽  
Absolute Error ◽  
Percentage Error ◽  
Neural Network Approach ◽  
Decision Making Processes ◽  
The Mean ◽  
Us Dollar ◽  
Stable Economy ◽  
Better Than

The variations in exchange rate, especially the sudden unexpected increases and decreases, have significant impact on the national economy of any country. Iraq is no exception; therefore, the accurate forecasting of exchange rate of Iraqi dinar to US dollar plays an important role in the planning and decision-making processes as well as the maintenance of a stable economy in Iraq. This research aims to compare Box-Jenkins methodology to neural networks in terms of forecasting the exchange rate of Iraqi dinar to US dollar based on data provided by the Iraqi Central Bank for the period  30/01/2004 and 30/12/2014. Based on the Mean Square Error (MSE), the Mean Absolute Error (MAE), and the Mean Absolute Percentage Error (MAPE) as criteria to compare the two methodologies, it was concluded that Box-Jenkins is better than neural network approach in forecasting.

scholarly journals Performance Of Deterministic And Stochastic Trends Models In Forecasting The Behavior Of The Canadian Dollar And The Japanese Yen Against The US Dollar

2011 ◽  
Vol 5 (12) ◽  
Author(s):  
Arav Ouandlous
Keyword(s):  
Exchange Rate ◽  
Canadian Dollar ◽  
Forecast Performance ◽  
Stochastic Trends ◽  
The Us ◽  
Modeling And Forecasting ◽  
Rate Behavior ◽  
Us Dollar ◽  
Exchange Rate Models ◽  
Japanese Yen

The literature on modeling and forecasting exchange rate behavior shows that complex forecasting exchange rate models do not often outperform ARIMA models. We show that the same forecasting models applied to forecast the behavior of the Canadian dollar and the Japanese Yen against the US dollar produced varying forecast performance.

The Stochastic Character of Japanese Exchange Rates

2004 ◽  
Vol 5 (1) ◽  
pp. 77-90
Author(s):  
Nikiforos Laopodis
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Exchange Rate Volatility ◽  
Transmission Mechanism ◽  
Good News ◽  
Volatility Transmission ◽  
Volatility Spillovers ◽  
The Us ◽  
Us Dollar ◽  
Multivariate Exponential

The paper explores the stochastic character of six yen exchange rates with respect to the Canadian dollar, French franc, Italian lira, German mark, British pound and the US dollar for the 1973-2002 periods. The methodological design is the multivariate Exponential GARCH model, which is capable of capturing asymmetries in the exchange rate volatility transmission mechanism. The results point to significant reciprocal and positive volatility spillovers after the Plaza Accord of 1985. Furthermore, the finding of absence of asymmetry in the same period implies that bad and/or good news in a particular market positively and equally affects volatility in the next market.

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