scholarly journals Forecasting Exchange Rate Across Countries with Gold Price as Exogenous Variable Using Transfer Function and VARI-X Model

MATEMATIKA ◽  
2020 ◽  
Vol 36 (3) ◽  
pp. 181-196
Author(s):  
Alhassan Sesay ◽  
Suhartono Suhartono ◽  
Dedy Dwi Prastyo
Keyword(s):  
South Africa ◽  
Exchange Rate ◽  
Transfer Function ◽  
Exchange Rates ◽  
Arima Model ◽  
Gold Price ◽  
Savings Accounts ◽  
Daily Data ◽  
The Relationship

Investors and collectors hold gold as protection for their savings and wealth atlarge. Gold does not pay interest like treasure bonds or savings accounts, but current goldprices often reflect increases and decreases of an asset. This research aims to provide amodel for the relationship between the exchange rate, which is vital in exporting gold, andgold prices across countries. The Australia, Brazil, and South Africa exchange rates areused as a case study against the gold price. The ARIMA model is used for forecasting goldprice as an input for the Transfer Function and VARIX models. The Transfer Functionmodel only considers the relationship between gold prices as input with the exchange ratein each country, whereas the VARIX model also considers the interrelationship betweenexchange rates in these countries. Daily data is used for the period 1st June 2010 to the28th February 2018. The RMSE and MAPE are used as criteria for selecting the bestmodel. The results show that VARIX is the best model for forecasting the Australianexchange rate, while the Transfer function is the best model for forecasting South Africanand Brazilian exchange rates.

scholarly journals Exploiting the Information of Stock Market to Forecast Exchange Rate Movements

2010 ◽  
Vol 11 (1) ◽  
pp. 69-87
Author(s):  
Manish Kumar
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Stock Prices ◽  
Arima Model ◽  
Absolute Error ◽  
Stock Index ◽  
Long Run ◽  
Daily Data ◽  
Out Of Sample ◽  
Exchange Rate Movements

The present study examines dynamic relation between stock index and exchange rate by using the daily data for India. The empirical evidence suggests that there is no long-run relationship; however, there is bidirectional causality between stock index and exchange rates. The findings of the causality tests strongly support portfolio or macroeconomic approach on the relationship between exchange rates and stock prices. An attempt is also made to forecast daily returns of INR/USD exchange rates by exploiting the information of causal relationship between exchange rates and stock index using Vector -of-sample performance is benchmarked against the traditional ARIMA model. The potential of the two models is rigorously evaluated by employing a cross-validation scheme and statistical metrics like mean absolute error, root mean square error and directional accuracy. Out-of-sample performance shows that VAR model is robust, and consistently produces superior predictions than ARIMA model.

South Africa’s Trade Performance under Alternative Exchange Rate Regimes

2018 ◽  
Vol 10 (6) ◽  
pp. 261
Author(s):  
Romaine Patrick ◽  
Phocenah Nyatanga
Keyword(s):  
South Africa ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Exchange Rate Regime ◽  
Real Exchange Rates ◽  
Series Data ◽  
Growth Strategies ◽  
The Real ◽  
Real Price ◽  
Floating Exchange Rate

This study examined the effect exchange rates have on import and export volumes under alternative exchange rate policies adopted in South Africa over the period 1960 to 2017. Using quarterly time series data for the stated period, a log-linear error correction model is employed to estimate the country’s export and import elasticities, taking into account Gross Domestic Product (GDP), the real price of exports, the real price of imports and real exchange rates. Using the freely floating exchange rate regime as the base period, the study concluded that both export and import volumes are lower under a system of fixed exchange rates. Export and import volumes were also found to be lower under the dual exchange rate regime, relative to the freely floating exchange rate regime. In accordance with export-led growth strategies, exports were found to be higher and imports lower under a managed floating exchange rate regime. It is therefore recommended that South Africa revert to a more managed exchange rate regime, until the South African economy is developed to accommodate a freely floating exchange rate regime.

scholarly journals Measuring the relationship between the balance of payments and the exchange rate - A case study of a group of Arab countries during the period 2000/2016-

2018 ◽  
Vol 2 (2) ◽  
pp. 44-66
Author(s):  
Abd Elouahid SERARMA ◽  
Newfel BAALOUL
Keyword(s):  
Exchange Rate ◽  
Empirical Studies ◽  
Arab Countries ◽  
Balance Of Payments ◽  
Rate System ◽  
Exchange Rate System ◽  
Independent Variable ◽  
The Exchange Rate ◽  
The Relationship

The Objective of this study is to examine the effect of exchange rate system on the balance of payments, with a case study of a group of Arab countries. First we shed light on the most important theoretical and empirical studies of exchange rate systems and their macroeconomics effects in one hand. In the other hand we study a case of six oil exporting Arab countries. To achieve this purpose we adopted a panel data and run an econometric model to examine the relationships between the variables during the period 2000 to 2016. The study concluded that there is a significant positive correlation between the exchange rate as an independent variable and the balance of payments as a dependent variable, and there is no deference in the effects of the exchange system in the study of six Arab economies.

scholarly journals COINTEGRATING RELATION BETWEEN EXCHANGE RATE AND GOLD PRICE

2017 ◽  
Vol 5 (10) ◽  
pp. 263-269
Author(s):  
Ranjusha ◽  
Devasia ◽  
Nandakumar
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Unit Root Test ◽  
Gold Price ◽  
Series Data ◽  
Annual Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Relationship

The very purpose of this paper is to analyse the relationship between gold price and Rupee – Dollar exchange rate in India. The study utilises the annual data of exchange Rate (ER) and Gold Price (GP) from 1970 to 2015 to determine the relationship. Different econometric tools like Unit root test, Johansen co integration test, Vector error correction model, Granger causality test are used for detecting the long run relation, if any between the mentioned variables. The result shows that there exists a long run cointegrating relation between the variables. That is we can stabilise the Gold Price movement by controlling the exchange rate fluctuations. Likewise it also shows that Exchange rate doesn’t Granger cause to Gold price and vice versa. It means that the time series data of one vasriable cannot be used to predict another.

scholarly journals Vehicle Currency Pricing and Exchange Rate Pass-Through

2021 ◽  
Author(s):  
Natalie Chen ◽  
Wanyu Chung ◽  
Dennis Novy
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Great Recession ◽  
Firm Level ◽  
Bilateral Exchange ◽  
The Great Recession ◽  
Pass Through ◽  
Exchange Rate Changes ◽  
Exchange Rate Pass Through ◽  
The Relationship

Abstract Using detailed firm-level transactions data for UK imports, we find that invoicing in a vehicle currency is pervasive, with more than half of the transactions in our sample invoiced in neither sterling nor the exporter’s currency. We then study the relationship between invoicing currencies and the response of import unit values to exchange rate changes. We find that for transactions invoiced in a vehicle currency, import unit values are much more sensitive to changes in the vehicle currency than in the bilateral exchange rate. Pass-through therefore substantially increases once we account for vehicle currencies. This result helps to explain why UK inflation turned out higher than expected when sterling depreciated during the Great Recession and after the Brexit referendum. Finally, within a conceptual framework we show why bilateral exchange rates are not suitable for capturing exchange rate pass-through under vehicle currency pricing. Overall, our results help to clarify why the literature often finds a disconnect between exchange rates and prices when vehicle currencies are not accounted for.

PALM OIL PRICE–EXCHANGE RATE NEXUS IN INDONESIA AND MALAYSIA

2021 ◽  
Vol 24 (2) ◽  
pp. 169-180
Author(s):  
Afees Salisu ◽  
Abdulsalam Abidemi Sikiru
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Palm Oil ◽  
Commodity Prices ◽  
Oil Price ◽  
Future Research ◽  
Daily Data ◽  
Out Of Sample ◽  
Exchange Rate Movements ◽  
Predictive Content

In this study, we extend the literature analyzing the predictive content of commodity prices for exchange rates by examining the role of palm oil price. Our analysis focuses on Indonesia and Malaysia, the two top producers and exporters of palm oil, and utilizes daily data covering the period from December 12, 2011 to March 29, 2021, which is partitioned into two sub-samples based on the COVID-19 pandemic. Relying on a methodology that accommodates some salient features of the variables of interest, we find that on average the in-sample predictability of palm oil price for exchange rate movements is stronger for Indonesia than for Malaysia. While Indonesia’s exchange rate appreciates due to a rise in palm oil price regardless of the choice of predictive model, Malaysia’s exchange rate only appreciates after adjusting for oil price. However, both exchange rates do not seem to be resilient to the COVID-19 pandemic as they depreciate amidst dwindling palm oil price. Similar outcomes are observed for the out-of-sample predictability analysis. We highlight avenues for future research and the implications of our results for portfolio diversification strategies.

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.

scholarly journals PERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA YANG BEKUNJUNG KE BALI MENGGUNAKAN FUNGSI TRANSFER

2016 ◽  
Vol 5 (4) ◽  
pp. 139
Author(s):  
I KETUT PUTRA ADNYANA ◽  
I WAYAN SUMARJAYA ◽  
I KOMANG GDE SUKARSA
Keyword(s):  
Exchange Rate ◽  
Transfer Function ◽  
Multivariate Time Series ◽  
Arima Model ◽  
Information Criterion ◽  
Percentage Error ◽  
Transfer Function Model ◽  
Function Model ◽  
Diagnostic Checking ◽  
The Exchange Rate

The aim of this research is to model and forecast the number of tourist arrivals to Bali using transfer function model based on exchange rate USD to IDR from January 2009 to December 2015. Transfer function model is a multivariate time series model which can be used to identify the effect of the exchange rate to the number of tourist arrivals to Bali. The first stage in transfer function modeling is identification of ARIMA model in exchange rate USD to IDR variable. The best ARIMA model is chosen based on the smallest Akaike information criterion (AIC). The next stage are as follows identification of transfer function model, estimation of transfer function model, and diagnostic checking for transfer function model. The estimated transfer function model suggests that the number of tourist arrivals to Bali is affected by the exchange rate of the previous eight months. The mean absolute percentage error (MAPE) is equal of the forecasting model to 9,62%.

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