Forecasting fuel prices with the Chilean exchange rate: Going beyond the commodity currency hypothesis

2021 ◽  
pp. 105802
Author(s):  
Pablo Pincheira-Brown ◽  
Andrea Bentancor ◽  
Nicolás Hardy ◽  
Nabil Jarsun
Keyword(s):  
Exchange Rate ◽  
Fuel Prices

scholarly journals PANEL COINTEGRATION ANALYSIS IN DETERMINING RELATIONSHIP OF AGRICULTURAL COMMODITY AND OIL FUEL PRICE IN INDONESIA

2020 ◽  
Vol 4 (2) ◽  
pp. 341-358
Author(s):  
Marizsa Herlina
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Palm Oil ◽  
Commodity Prices ◽  
Panel Cointegration ◽  
Oil Prices ◽  
Agricultural Commodity ◽  
Fuel Prices ◽  
Long Run ◽  
Oil Fuel

This paper contributes to explain the relationship between oil fuel prices, oil price, the exchange rates, and agricultural commodity prices in Indonesia by using panel cointegration. Thus, this paper studied the short- and long-run relationships between oil fuel prices, oil prices, exchange rates, and agricultural commodity prices using the panel cointegration and causality analysis on five main agricultural commodities in Indonesia (i.e. rice, beef, palm oil, red chili, and sugar). The study was conducted using weekly agricultural, oil fuel, oil prices, and exchange rates from October 2014 until May 2016. The results showed that the oil fuel prices and the exchange rate had a long-run impact on agricultural commodity prices. The direction of the causality had also been determined. The oil fuel prices, oil prices, and exchange rate altogether had a unidirectional Granger causality to all of the agricultural commodity prices except beef and palm oil prices in the long-run.

scholarly journals Test for asymmetry on the ex-pump price of premium gasoline in Ghana, Kenya, and Colombia

2021 ◽  
Vol 4 (1) ◽  
pp. 73-89
Author(s):  
Senanu Kwasi Klutse ◽  
Gábor Dávid Kiss
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Oil Prices ◽  
Oil Price ◽  
Dollar Exchange Rate ◽  
Fuel Prices ◽  
Crude Oil Prices ◽  
Long Run ◽  
The Us ◽  
Us Dollar

Once again, the World has been faced with an oil price shock as a result of the SARS-CoV-2 coronavirus pandemic. This has resurrected an old debate of whether retail fuel prices adjust significantly to either increases or decreases in international crude oil prices. With many countries moving towards the deregulation of their petroleum sub-sector, the impact of the US dollar exchange rate on retail fuel prices cannot be overlooked. This study investigates the rate at which positive and negative changes in international Brent crude oil prices and the US dollar exchange rate affected the increases or decreases in the ex-pump price of premium gasoline between February 2012 and December 2019. Using a non-linear auto-regressive distributed lag model, the exchange rate was found to play a significant role in fluctuations in the retail price of premium gasoline in Ghana and Colombia in the long run, howev-er, the rate of adjustment between the negative and positive changes was not significant, dispelling the perception of price asymmetry. There was no significant relationship between the ex-pump price of premium gasoline and the international Brent crude oil price in Ghana and Kenya in the long run. This study recommends that the aforementioned countries prioritise the creation of ex-change rate buffers to prevent exchange rate shocks that may affect retail fuel prices.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

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