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.

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.

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 The Impact of Commodity Prices, Interest Rate and Exchange Rate on Stock Market Performance: An Empirical Analysis From Malaysia

2020 ◽  
Author(s):  
Norhafiza Nordin ◽  
Sabariah Nordin ◽  
Rusmawati Ismail
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Palm Oil ◽  
Significant Influence ◽  
Market Performance ◽  
Commodity Prices ◽  
Oil Price ◽  
Stock Market Performance ◽  
The Impact

This paper examines the impact of commodity prices (palm oil price, oil price, and gold price), interest rate, and exchange rate on the Malaysian stock market performance. Employing the bounds test approach, the results of the study showed cointegrating relationships among variables. Specifically, the results revealed a significant influence of palm oil price on the stock market index. However, no significant influence was observed for both the oil price and gold price. Interest rate and exchange rate showed significant influences, which are consistent with past empirical studies. One important policy implication from this study is that the authorities should also pay attention to the effect of commodity prices, in addition to macroeconomic variables, in implementing relevant polices, as they may have a negative impact on the Malaysian stock market.  

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 Exchange Rate, Uncertainty and Foreign Direct Investment Inflow in West African Monetary Zone

2018 ◽  
Vol 20 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Perekunah B. Eregha
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Direct Investment ◽  
Exchange Rate Volatility ◽  
Commodity Prices ◽  
Fixed Effect Model ◽  
West African ◽  
Effect Model ◽  
Exchange Rate Movements ◽  
Global Shocks

Exchange-rate movements are mostly unpredictable, and this tends to affect both trade and foreign investment flows. This is because foreign investors are unclear on the returns to investment decisions in such cases. Hence, this study examines the effect of exchange rate, its volatility and uncertainty on foreign direct investment (FDI) inflow in West African monetary zone (WAMZ). The study covers the period1980–2014, and the within estimator for the fixed effect model is employed. The study accounts for both exchange rate volatility and uncertainty measures which are anticipated and unanticipated exchange rate innovations measures, respectively. The results show that exchange-rate movements in WAMZ countries are more of unanticipated than anticipated innovations in affecting FDI inflow. Therefore, policies aimed at targeting exchange-rate stability are essential in the WAMZ countries since investors are profit maximizers; hence, investment uncertainties must be kept as low as possible. Also since WAMZ export sectors are primary products based, policies should be geared towards the diversification of the export sectors to combat unanticipated global shocks from commodity prices movement in having an effect on the exchange rate through the foreign exchange reserve channel.

Exchange Rates and the Effectiveness of Actual and Oral Official Interventions: A Survey on Findings, Issues and Policy Implications

2010 ◽  
Vol 10 (4) ◽  
pp. 1850213 ◽  
Author(s):  
Nevin Cavusoglu
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Interest Rates ◽  
Policy Implications ◽  
Consistent Finding ◽  
Macroeconomic Variables ◽  
Explanatory Variables ◽  
Monetary Authorities ◽  
Exchange Rate Movements ◽  
Exchange Markets

Monetary authorities of many open economies have been regularly intervening in foreign exchange markets for years to limit volatility in exchange rates and/or push exchange rates back to some desired level. Such interventions have taken the form of actual and oral official interventions. Review of studies investigating the effectiveness of interventions reveals one major issue, related to the assumption that interventions are mostly sterilized. This assumption might lead to unreliable results when changes in interest rates and interventions are both used as explanatory variables for exchange rates. One major consistent finding is that intervention has a significant but short-lasting effect on exchange rates. Studies have reached this conclusion by investigating whether intervention has been effective in turning around the exchange rate over the few days, weeks or months following intervention(s). Only a few studies have investigated and provided evidence that intervention has been effective in limiting long swings in exchange rates. Studies testing for the effectiveness of interventions specifically through the signaling channel also provide evidence on the importance of macroeconomic variables for exchange rates. The significance of official intervention and official communication for exchange rate movements combined with the importance of macroeconomic variables for exchange rates provide a role for official intervention and parity announcement to influence exchange rate movements and limit the magnitude of exchange rate swings.

On the asymmetric response of the exchange rate to shocks in the crude oil market

2020 ◽  
Vol 14 (4) ◽  
pp. 839-852 ◽  
Author(s):  
Huthaifa Alqaralleh
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Financial Crises ◽  
Oil Price ◽  
Series Data ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Content Type ◽  
The Exchange Rate ◽  
Asymmetric Cointegration

Purpose This paper aims to investigate the nonlinear dynamics in the effects of oil price shocks on the exchange rate for a sample from the Group of Twenty (G20) over the period 1994:1-2019:1. Design/methodology/approach Using monthly time series data covering the period1994:1-2019:1, the author first use the non-parametric triples test of Randles et al. (1980) to ascertain the existence of asymmetric properties in the sample of exchange rates. Then the author used the nonlinear ARDL cointegration approach developed by Shin et al. (2014) to examine the reaction of these exchange rates to the oil price shocks. Findings This study has identified significant evidence that the exchange rate is asymmetrically distributed, with the effect that high appreciation of the exchange rate is followed by slower depreciation. The NARDL results support such asymmetry even more strongly because in the test the exchange rate is shown to react differently in the long term to positive and negative shocks in oil prices. Another major finding was that the speed of adjustment differed over the sample, as the cumulative dynamic multipliers effect highlighted. Research limitations/implications This change in direction and the employment of non-linear technique can be to obtain better insight into the model specification, which the author believes, will not only enhance the findings in the literature but also enhance forecasting and decision-making. Practical implications A practical implication of this change is the possibility that policymakers and participants concerned with exchange rate stability should intervene in the market to alleviate the unfavourable impact of oil price shocks on the exchange rate. Originality/value Addressing this nonlinear dynamic in the effects of oil price shocks on the exchange rate have at least the following two important reasons: asymmetry and regime change are types of nonlinearities that affect the market dynamics, especially, over marked sample period with such financial crises as the global financial crises of 2007, thereby violating the linear models. Adopting an asymmetric cointegration technique permits to incorporate cointegrated positive and negative components of the considered series.

scholarly journals The Predictability of the Exchange Rate When Combining Machine Learning and Fundamental Models

2020 ◽  
Vol 13 (3) ◽  
pp. 48 ◽  
Author(s):  
Yuchen Zhang ◽  
Shigeyuki Hamori
Keyword(s):  
Machine Learning ◽  
Exchange Rate ◽  
Random Walk ◽  
Exchange Rates ◽  
Price Index ◽  
Economic Models ◽  
Superior Performance ◽  
Support Vector ◽  
Out Of Sample ◽  
Modern Machine

In 1983, Meese and Rogoff showed that traditional economic models developed since the 1970s do not perform better than the random walk in predicting out-of-sample exchange rates when using data obtained after the beginning of the floating rate system. Subsequently, whether traditional economical models can ever outperform the random walk in forecasting out-of-sample exchange rates has received scholarly attention. Recently, a combination of fundamental models with machine learning methodologies was found to outcompete the predictability of random walk (Amat et al. 2018). This paper focuses on combining modern machine learning methodologies with traditional economic models and examines whether such combinations can outperform the prediction performance of random walk without drift. More specifically, this paper applies the random forest, support vector machine, and neural network models to four fundamental theories (uncovered interest rate parity, purchase power parity, the monetary model, and the Taylor rule models). We performed a thorough robustness check using six government bonds with different maturities and four price indexes, which demonstrated the superior performance of fundamental models combined with modern machine learning in predicting future exchange rates in comparison with the results of random walk. These results were examined using a root mean squared error (RMSE) and a Diebold–Mariano (DM) test. The main findings are as follows. First, when comparing the performance of fundamental models combined with machine learning with the performance of random walk, the RMSE results show that the fundamental models with machine learning outperform the random walk. In the DM test, the results are mixed as most of the results show significantly different predictive accuracies compared with the random walk. Second, when comparing the performance of fundamental models combined with machine learning, the models using the producer price index (PPI) consistently show good predictability. Meanwhile, the consumer price index (CPI) appears to be comparatively poor in predicting exchange rate, based on its poor results in the RMSE test and the DM test.

Do stock markets have predictive content for exchange rate movements?

2019 ◽  
Vol 38 (7) ◽  
pp. 699-713 ◽  
Author(s):  
Shiu‐Sheng Chen ◽  
Cheng‐Che Hsu
Keyword(s):  
Exchange Rate ◽  
Stock Markets ◽  
Exchange Rate Movements ◽  
Predictive Content
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