VOLATILITY OF CRUDE OIL PRICES, FOREIGN EXCHANGE EXPOSURES, AND COMPANY’S PERFORMANCE: EMPIRICAL EVIDENCE FROM TAIWANESE 3PL INDUSTRY

2018 ◽  
Vol 6 (1) ◽  
pp. 53-60
Author(s):  
Hsiao Chiu-Ming ◽  
Chen Chih-Hung ◽  
Lin Chun-Hsuan ◽  
Fang Bo-Wei ◽  
Tang Yen-Ju ◽  
...  

Purpose of the study: In this paper, we investigate the impact of the changes in crude oil prices and fluctuation of foreign exchange rate on the operating performances of Taiwanese 3PL industry.Methodology: Vector Autoregression Models. Through the empirical model, we find that all the 3PL companies are more suffered to the volatility of WTI and Dubai crude oil prices, but Dubai is insignificant to the warehousing companies. In the fluctuations of foreign exchange rate, some have positive effect and some are negative.Main Findings: All the Taiwanese 3PL companies are more suffered to the volatility of WTI and Dubai crude oil prices, however Dubai is insignificant to the warehousing companies. Moreover, we find an interesting result, that is, for some companies operating performance, the impact on the volatilities of crude oil have the same sign but in opposite direction. For example, in our empirical results, the stock returns are positively correlated to volatilities of Dubai and Brent crude oil prices, however, WTI’s volatility has negative impact on them.Implications: It implies that the company can make a “natural hedge” strategy to hedge the crude oil volatility risk by forming a portfolio which pools these three commodities together. In this way, we made recommendations to the company’s decision-making reminding that the company should make a portfolio of foreign exchange and crude oil price fluctuations in the hedge strategy to enhance the company’s risk management operations and to reduce the loss caused by these factors.Novelty/Originality of this study: This study contributes in the existing literature for an empirically study of a firm-level evidence from Taiwanese 3PL companies.

2021 ◽  
Vol 3 (3) ◽  
pp. 31-44
Author(s):  
Nenubari Ikue John ◽  
Emeka Nkoro ◽  
Jeremiah Anietie

There is a pool of techniques and methods in addressing dynamics behaviors in higher frequency data, prominent among them is the ARCH/GARCH techniques. In this paper, the various types and assumptions of the ARCH/GARCH models were tried in examining the dynamism of exchange rate and international crude oil prices in Nigeria. And it was observed that the Nigerian foreign exchange rates behaviors did not conform with the assumptions of the ARCH/GARCH models, hence this paper adopted Lag Variables Autoregressive (LVAR) techniques originally developed by Agung and Heij multiplier to examine the dynamic response of the Nigerian foreign exchange rates to crude oil prices. The Heij coefficient was used to calculate the dynamic multipliers while the Engel & Granger two-step technique was used for cointegration analysis.  The results revealed an insignificant dynamic long-term response of the exchange rate to crude oil prices within the periods under review. The coefficient of dynamism was insignificantly in most cases of the sub-periods. The paper equally revealed that the significance of the dynamic multipliers depends greatly on external information about both market indicators which are two-way interactions. Thus, the paper recommends periodic intervention in the foreign exchange market by the monetary authorities to stabilize the market against any shocks in the international crude oil market, since crude oil is the main source of foreign exchange in Nigeria.


2020 ◽  
Vol 3 (2) ◽  
pp. 260-282
Author(s):  
Liliek Nur Sulistiyowati

United States President Donald Trump has just issued a controversial policy by giving Jerusalem recognition as the capital of Israel. This controversial policy triggered a strong reaction from a number of countries, especially Islamic countries including Indonesia. Indonesia through President Jokowidodo strongly condemned the policy of moving the Israeli capital to Jerusalem because it would disrupt political and security stability in the Middle East region. In the midst of the political impact caused by President Donald Trump's policies also affected the global economy. The world stock exchanges reacted immediately with the existence of these policies, one of which was the fall of the stock market index in Japan and South Korea due to investor concerns. The impact of the policies implemented by President Donald Trump also affected the Indonesian economy. This policy will affect the financial markets and capital markets in Indonesia. Trump's policy triggered an increase in the US $ exchange rate against the currencies of other countries including the Indonesian currency. Some of the negative effects on the Indonesian economy were the increase in world crude oil prices. Indonesia is currently no longer an oil exporting country, so that with the increase in world crude oil prices it will provide a fiscal burden in the State Budget (APBN). Fuel subsidies in the state budget will increase along with the increase in world crude oil prices that occur. In addition to the impact on the rupiah exchange rate against the US $, Donald Trump's policy also affects the inflation rate and the SBI interest rate. Through 2018, Bank Indonesia has raised the SBI interest rate by 150 basis points (bps) or 1.5%. The BI Governor explained that one reason for changing the benchmark interest rate was US monetary policy. The determination of high SBI interest rates also had an effect on reducing inflationary pressures. This study aims to look at the influence of President Donald Trump's policies regarding the transfer of the Israeli capital to Jerusalem against Indonesia's macroeconomic indicators. Indonesia's macroeconomic indicators are seen from 3 variables, such as the inflation rate, SBI interest rates and the rupiah exchange rate against US $ Key words :  Donald Trump, inflation, SBI interest rates, exchange rates / exchange rates  


2021 ◽  
Vol 18 (4) ◽  
pp. 1162-1170
Author(s):  
Lubna Abdelkareim Gabralla

We propose an alternative algorithm referred to RVM (relevance vector machine) to circumvent the support vector machine’s (SVM) unnecessary use of basic functions, a large number of support vectors, lack of probabilistic prediction, and longer time computation complexity (TCC). Global annual land-ocean average temperature (GASAT) data and WTI oil market price data extracted from the National Aeronautic and Space Administration US and the US Energy Administration, respectively. The data were preprocessed and used to build RVM models. To evaluate the proposed RVM, its performance was compared to that of a SVM. The results were validated using ANOVA. A significant correlation between the two datasets was found. The relevance vectors for the RVM were significantly less than the support vectors for the SVM, and the TCC for the RVM was significantly better than the TCC for the SVM. The prediction accuracy of both the RVM and the SVM were found to be statistically equal. The RVM model was able to project the impact of GASAT on WTI crude oil prices from 2014 to 2023. The projection can be used by intergovernmental organizations to formulate a global response to combat WTI crude oil price negative impact, which is expected to worsen in the next decade.


Author(s):  
Brian S. McBeth

ABSTRACTAfter a brief description of the initial development of Venezuela's crude oil industry, this paper examines the impact the 1932 US tariff on crude oil imports had on the country. The US tariff on crude oil imports stabilised domestic crude oil prices but prevented consumers from benefting from lower prices in refned petroleum products. The large us international integrated crude oil companies gained from higher crude oil prices for their domestic production while supplying their european markets with mostly cheap crude oil from their newly developed Venezuelan oilfelds. The tariff increased the Venezuelan oil industry's vulnerability to international events because it narrowed the competitive edge it had over domestic us crude oil production. consequently, the Gómez dictatorship in Venezuela at the time became more dependent on the oil companies operating in the country since they could reduce production considerably, or even leave the country as quickly as they entered with a negative impact on government revenues.


2020 ◽  
Vol 68 ◽  
pp. 101708
Author(s):  
Wasiu Adekunle ◽  
Abubakar M. Bagudo ◽  
Monsuru Odumosu ◽  
Suraj B. Inuolaji

2021 ◽  
Vol 14 (9) ◽  
pp. 431
Author(s):  
Katarzyna Czech ◽  
Ibrahim Niftiyev

The paper aims to assess the relationship between Azerbaijani and Kazakhstani exchange rates and crude oil prices volatility. The study applies the structural vector autoregressive (SVAR) model. The paper concentrates on Azerbaijan and Kazakhstan, the post-Soviet countries considered as some of the most oil-dependent countries in the Caspian Sea region. The impulse response functions suggest that the rise of crude oil prices is associated with the exchange rates decrease and thus with an Azerbaijani manat and Kazakhstani tenge appreciation against the U.S. dollar. Moreover, the results suggest that an oil price increase leads to the rise of Azerbaijani international reserves. However, the results are insignificant for the Kazakhstani foreign exchange reserves. Additionally, the study reveals a negative and significant relationship between crude oil prices and USD/KZT in both pre-crisis and the COVID-19 crisis periods. We reveal that the correlation has been stronger during the COVID-19 pandemic. However, the relationship is not significant in the case of the Azerbaijani manat. The USD/AZN exchange rate has been stable since 2017, and the first phase of the COVID-19 pandemic has not caused a change in the exchange rate and a weakening of the Azerbaijani currency, despite significant drops in crude oil prices.


2019 ◽  
Vol 1 (2) ◽  
pp. 01-14
Author(s):  
Nenubari Ikue-John ◽  
Emeka Nkoro ◽  
Jeremiah Anietie

There is a pool of techniques and methods in addressing dynamics behaviors in higher frequency data, prominent among them is the ARCH/GARCH techniques. In this paper, the various types and assumptions of the ARCH/GARCH models were tried in examining the dynamism of exchange rate and international crude oil prices in Nigeria. And it was observed that the Nigerian foreign exchange rates behaviors did not conform with the assumptions of the ARCH/GARCH models, hence this paper adopted Lag Variables Autoregressive (LVAR) techniques originally developed by Agung and Heij multiplier to examine the dynamic response of the Nigerian foreign exchange rates to crude oil prices. The Heij coefficient was used to calculate the dynamic multipliers while the Engel & Granger two-step technique was used for cointegration analysis.  The results revealed an insignificant dynamic long term response of exchange rate to crude oil prices within the periods under review. The coefficient of dynamism was insignificantly in most cases of the sub-periods. The paper equally revealed that the significance of the dynamic multipliers depends greatly on external information about both market indicators which are two-way interactions. Thus, the paper recommends periodic intervention in the foreign exchange market by the monetary authorities to stabilize the market against any shocks in the international crude oil market, since crude oil is the main source of foreign exchange in Nigeria.


2014 ◽  
pp. 74-89 ◽  
Author(s):  
Vinh Vo Xuan

This paper investigates factors affecting Vietnam’s stock prices including US stock prices, foreign exchange rates, gold prices and crude oil prices. Using the daily data from 2005 to 2012, the results indicate that Vietnam’s stock prices are influenced by crude oil prices. In addition, Vietnam’s stock prices are also affected significantly by US stock prices, and foreign exchange rates over the period before the 2008 Global Financial Crisis. There is evidence that Vietnam’s stock prices are highly correlated with US stock prices, foreign exchange rates and gold prices for the same period. Furthermore, Vietnam’s stock prices were cointegrated with US stock prices both before and after the crisis, and with foreign exchange rates, gold prices and crude oil prices only during and after the crisis.


2015 ◽  
Vol 22 (04) ◽  
pp. 26-50
Author(s):  
Ngoc Tran Thi Bich ◽  
Huong Pham Hoang Cam

This paper aims to examine the main determinants of inflation in Vietnam during the period from 2002Q1 to 2013Q2. The cointegration theory and the Vector Error Correction Model (VECM) approach are used to examine the impact of domestic credit, interest rate, budget deficit, and crude oil prices on inflation in both long and short terms. The results show that while there are long-term relations among inflation and the others, such factors as oil prices, domestic credit, and interest rate, in the short run, have no impact on fluctuations of inflation. Particularly, the budget deficit itself actually has a short-run impact, but its level is fundamentally weak. The cause of the current inflation is mainly due to public's expectations of the inflation in the last period. Although the error correction, from the long-run relationship, has affected inflation in the short run, the coefficient is small and insignificant. In other words, it means that the speed of the adjustment is very low or near zero. This also implies that once the relationship among inflation, domestic credit, interest rate, budget deficit, and crude oil prices deviate from the long-term trend, it will take the economy a lot of time to return to the equilibrium state.


GIS Business ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. 1-9 ◽  
Author(s):  
Sriram Mahadevan

The present study has empirically examined the level of foreign exchange exposure and its determinants of CNX 100 companies. For the purpose of study, the relationship between exchange rate changes and stock returns for a sample of 82 companies was determined for the period April 2011-March 2016. The study finds that 49% of the sample companies had significant positive foreign exchange rate exposure and the found that the companies could be exporters or net importers. To explore factors determining foreign exchange rate exposure, variables such as export ratio, import ratio, size of a company, hedging activities were regressed against the exchange exposure and the study found that none of the factors was influencing the exchange rate exposure. The study concludes that the reasons for insignificant influence of the variables could be the natural hedging practices of companies, offsetting of exports and imports and heterogeneous of the sample size. The study offers few directions for future research in this area.


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