Modelling the Link between Commodity Prices and Exchange Rates: The Tale of Daily Data

1992 ◽  
Vol 25 (1) ◽  
pp. 156 ◽  
Author(s):  
Peter S. Sephton

2021 ◽  
Vol 24 (2) ◽  
pp. 169-180
Author(s):  
Afees Salisu ◽  
Abdulsalam Abidemi Sikiru

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.



1996 ◽  
Author(s):  
Dominique Yves Dupont ◽  
V. Hugo Juan-Ramon


Author(s):  
Hui Jun Zhang ◽  
Jean-Marie Dufour ◽  
John W. Galbraith




2021 ◽  
Vol 6 (16) ◽  
pp. 36-46
Author(s):  
Elif YÜCEL

This study aims to measure the causal relationship between the dollar and euro at exchange rates among today's investment instruments and the deposit interest rate, Gold, Bist xu100 and the index of government domestic debt securities.Dec. Dec. The data in the study are daily data between 17/08/2017-26/05/2021 and were selected from a recent time Dec. Data with CBRT evds resources investing.com retrieved from. In this way, it is possible to see how variables adapt to today's financial world and the pandemic period. The method of the study is the Granger causality test, which is often used in time series analysis. When individuals make investment choices, they choose according to the fact that macro variables such as inflation, growth rate, and Exchange Rates fluctuate during periods of crisis and recession. This often affects even the credit demands of institutional investors. Central banks want to influence macro variables with various intervention tools, but because the economies of some countries are fragile, individuals can often suffer even as a result of these optimistic policies. According to the results of this study, the dependent variable in the model where the BIST100 index of the dollar and gold values, the probability of 0.000<0.05 causal relationship is true of dollars for deposit in the model where the dependent variable is the interest rate of government securities of the index, the probability value of 0.0001 p<0.05 and Bist100 index 0.0162 probability value<0.05 and the probability for the value of the dollar 0.02<0.05 can be considered to be a causal relationship due to being towards deposit rates. The probability of the dependent variable in a model of the euro BIST100 index value 0.0001 p<0.05, gold probability value of 0.000<0.05 Euros causal relationship is true for government securities in another model where the dependent variable of 0.0040 p<0.05 probability value from deposits with interest ,0.0000 p<0.05 0.0043 Bist100 index and the probability value p<0.05 is the probability for the value of government securities under de towards causality can be said. In a model in which the Bist100 index is a dependent variable, there was a causal relationship towards the Bist100 index ,as the probability value of the euro was 0.0012<0.05, the probability value of gold was 0.0000<0.05, the probability value of government domestic debt securities was 0.0013<0.05, and the probability value of the dollar was 0.0007<0.05. Finally, the model in which gold is a dependent variable concluded that there is no causal relationship between the Euro, dollar, dibs and Bist100 index and deposit interest to gold, since the probability values of other variables are greater than 0.05.





2017 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Fredynandy M John ◽  
Zakayo S Kisava

This paper aims to examine the existing relationship between the prices of different stocks traded in the Dar es Salaam Stock Exchange (DSE) and the Tanzanian Shillings – United States dollar exchange rates (TZS/USD). In this study, we use the daily data sets covering a period of six years from August 15, 2011 through July 28, 2017 making 1455 observations. Vector Autoregressive (VAR) – Granger Causality model is employed accompanied with several tests conducted on the variables and the model itself. The findings conclude that, there is a short-term association between Stock Prices (SP) and Exchange Rates (ExR). Additionally, Stock Prices Granger Causes Exchange Rates as evidenced by Granger Causality and the Impulse test. These findings are supported by the fact that shocks in the Exchange Rates have no effect in the Stock Prices. This could mean that an investor can invest in short term at the DSE.



World Economy ◽  
2019 ◽  
Vol 42 (9) ◽  
pp. 2546-2565
Author(s):  
Martin Baumgärtner ◽  
Jens Klose


2015 ◽  
Vol 15 (2) ◽  
pp. 231-240 ◽  
Author(s):  
Mohsen Bahmani-Oskooee ◽  
ABM Nasir

Almost all previous studies that have tested the law of one price or Purchasing Power Parity theory (PPP) have used either real effective exchange rates or bilateral real exchange rates which are constructed using CPI or PPI data. Most of these studies have failed to support the PPP mostly due to aggregation bias. A few recent studies, have, therefore used commodity prices in different countries and have provided strong support for the theory. These studies have mostly used data from industrial countries. In this paper, we use individual prices of 52 retail items from 15 cities in Asia and test for stationarity of the real exchange rate and speed of adjustment. We provide support for PPP in 63% of the cases. We also find that using individual prices lead to faster convergence of real rates toward their PPP values.



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