scholarly journals Modelling Nigeria Naria Exchange Rate against Some Selected Country’s Currencies Volatility: Application of GARCH Model

2019 ◽  
pp. 1-13
Author(s):  
Ajayi Abdulhakeem ◽  
Samuel Olorunfemi Adams ◽  
Rafiu Olayinka Akano
Keyword(s):  
United Kingdom ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Exchange Rate Volatility ◽  
Garch Model ◽  
Leverage Effect ◽  
Type Model ◽  
Log Likelihood ◽  
Us Dollar ◽  
Chinese Yuan

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.

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.

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.

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.

scholarly journals Comparative Analysis of Naira/US Dollar Exchange Rate Volatility using GARCH Variant Modeling

2021 ◽  
Vol 3 (1) ◽  
pp. 18-41
Author(s):  
Agya Atabani Adi ◽  
Amadi W. Kingsley ◽  
David Vincent Hassan
Keyword(s):  
Exchange Rate ◽  
Comparative Analysis ◽  
Exchange Rate Volatility ◽  
Exchange Rate Policy ◽  
Garch Models ◽  
Leverage Effect ◽  
Official Exchange Rate ◽  
Rate Policy ◽  
Us Dollar ◽  
Q Statistic

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.

scholarly journals Purchasing Power Parity Approach to Exchange Rate Misalignment in Nigeria

2021 ◽  
Vol 12 (No. 1) ◽  
pp. 45-75
Author(s):  
Musa Nakorji ◽  
Ngozi T. I. Agboegbulem ◽  
Blessing A. Gaiya ◽  
Ngozi V. Atoi
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Purchasing Power Parity ◽  
Structural Breaks ◽  
Empirical Support ◽  
Purchasing Power ◽  
Power Parity ◽  
Exchange Rate Misalignment ◽  
Us Dollar ◽  
Chinese Yuan

This study examines the purchasing power parity (PPP) approach to the determination of exchange rate misalignment in Nigeria by using two variants of the PPP: the absolute PPP (aPPP) and the relative PPP (rPPP). Data on the Nigerian Naira to US Dollar ( N/$), British Pound ( N/£) and Chinese Yuan (N /¥) interbank exchange rates, Nigeria consumer price index and Inflation as well as the US, UK and China consumer price indices and inflation rates spanning 2008:M1 to 2018:M12 were utilized. A recently modified fractional cointegration framework was employed, taking care of smooth structural breaks and nonlinearity, while the unit root tests employed the fractional alternatives. The results confirmed that the aPPP approach to exchange rate determination is unrealistic but revealed empirical support for the rPPP approach. Furthermore, the exchange rates computed with the rPPP approach show that the interbank Naira to US Dollar, UK Pounds and Chinese Yuan exchange rates were overvalued in most of the period of this study. The period of undervaluation observed in June 2016 and April 2017 coincided with the periods when CBN introduced the investors and exporters window. The study recommends the use of rPPP for gauging the level of exchange rate misalignment in Nigeria and suggests the need to diversify the export base to appreciate the exchange rate.

scholarly journals Exchange Rates and Monetary Fundamentals: What Do We Learn from Linear and Nonlinear Regressions?

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Guangfeng Zhang
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Correction Model ◽  
Exchange Rate Dynamics ◽  
Long Run ◽  
Exchange Rate Movements ◽  
Short Run ◽  
Us Dollar ◽  
Linear And Nonlinear ◽  
Japanese Yen

This paper revisits the association between exchange rates and monetary fundamentals with the focus on both linear and nonlinear approaches. With the monthly data of Euro/US dollar and Japanese yen/US dollar, our linear analysis demonstrates the monetary model is a long-run description of exchange rate movements, and our nonlinear modelling suggests the error correction model describes the short-run adjustment of deviations of exchange rates, and monetary fundamentals are capable of explaining exchange rate dynamics under an unrestricted framework.

scholarly journals Dynamic Relationship between RMB Exchange Rate and Interest Rate Based on VAR-DCC-GARCH Model

2020 ◽  
Vol 214 ◽  
pp. 03018
Author(s):  
Xuhang Zhao
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rate ◽  
Exchange Rate Volatility ◽  
Garch Model ◽  
Nominal Exchange Rate ◽  
Practical Significance ◽  
Causality Test ◽  
Dynamic Relationship ◽  
Interest Rate Volatility

Based on the daily data of Shibor and nominal exchange rate from 2006 to 2019, this paper constructs VAR model and uses Granger causality test and impulse response model to analyze the dynamic relationship between exchange rate and interest rate. Based on the DCC-GARCH model, this paper analyzes the correlation between exchange rate volatility and interest rate volatility, and concludes that there is a weak negative correlation between exchange rate and interest rate. Both exchange rate and monetary policy will have an important impact on China’s economic environment, so it is of great practical significance to study the joint impact of exchange rate and monetary policy.

An Empirical Analysis of FII Movement and Currency Value in India

2015 ◽  
pp. 207-217
Author(s):  
Saurabh Sen ◽  
Ruchi L. Sen
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Critical Role ◽  
Institutional Investment ◽  
Currency Futures ◽  
Overall Performance ◽  
Foreign Institutional Investors ◽  
Us Dollar ◽  
The Impact ◽  
The Relationship

India opened its stock market to foreign investors in September 1992 and has received portfolio investment from foreigners in the form of foreign institutional investment in equities and other markets including derivatives. It has emerged as one of the most influential groups to play a critical role in the overall performance of the Indian economy. The liberalization of FII flows into the Indian capital market since 1993 has had a significant impact on the economy. With increased volatility in exchange rate and to mitigate the risk arising out of excess volatility, currency futures were introduced in India in 2008, which is considered a second important structural change. This chapter examines the impact of the Foreign Institutional Investors (FIIs) on the exchange rate and analyzes the relationship between FII and Indian Rupee-US Dollar exchange rates.

EXTENDED DAILY EXCHANGE RATES FORECASTS USING WAVELET TEMPORAL RESOLUTIONS

2005 ◽  
Vol 01 (01) ◽  
pp. 79-107 ◽  
Author(s):  
MAK KABOUDAN
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Exchange Rate ◽  
Random Walk ◽  
Genetic Programming ◽  
Exchange Rates ◽  
Us Dollar ◽  
Artificial Neural ◽  
Japanese Yen ◽  
The One

Applying genetic programming and artificial neural networks to raw as well as wavelet-transformed exchange rate data showed that genetic programming may have good extended forecasting abilities. Although it is well known that most predictions of exchange rates using many alternative techniques could not deliver better forecasts than the random walk model, in this paper employing natural computational strategies to forecast three different exchange rates produced two extended forecasts (that go beyond one-step-ahead) that are better than naïve random walk predictions. Sixteen-step-ahead forecasts obtained using genetic programming outperformed the one- and sixteen-step-ahead random walk US dollar/Taiwan dollar exchange rate predictions. Further, sixteen-step-ahead forecasts of the wavelet-transformed US dollar/Japanese Yen exchange rate also using genetic programming outperformed the sixteen-step-ahead random walk predictions of the exchange rate. However, random walk predictions of the US dollar/British pound exchange rate outperformed all forecasts obtained using genetic programming. Random walk predictions of the same three exchange rates employing raw and wavelet-transformed data also outperformed all forecasts obtained using artificial neural networks.

The Stabilization of an Open Economy with Capital Controls: An Analysis Using Malaysian Data

2003 ◽  
Vol 2 (3) ◽  
pp. 63-83 ◽  
Author(s):  
Naoyuki Yoshino ◽  
Sahoko Kaji ◽  
Yoko Ibuka
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Open Economy ◽  
Exchange Rate Volatility ◽  
Capital Controls ◽  
Loss Functions ◽  
Economic Welfare ◽  
Real Gdp ◽  
Net Exports ◽  
Fixed Exchange Rates

The purpose of this paper is to analyze the effectiveness of capital controls and fixed exchange rates in improving economic welfare. We apply Malaysian data to our theoretical model and derive the following results for the period of our estimation. High exchange rate volatility negatively affects Malaysian net exports and real GDP. By stabilizing the exchange rate and recovering monetary policy autonomy, capital controls and fixed exchange rates can lead to lower values of loss functions. This beneficial effect is stronger, the more open the Malaysian economy.

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