A Structural Non-causal VAR Model of the Global Oil Market: the Role of Oil Supply News Shocks

2021 ◽  
Author(s):  
Arthur Thomas ◽  
Zakaria Moussa
Keyword(s):  
2019 ◽  
Vol 7 ◽  
Author(s):  
Zhenhua Liu ◽  
Zhihua Ding ◽  
Pengxiang Zhai ◽  
Tao Lv ◽  
Jy S. Wu ◽  
...  

2015 ◽  
Vol 733 ◽  
pp. 955-959
Author(s):  
Xiao Bing Wei ◽  
Jie Luo ◽  
Fei Sun

With China's sustained and rapid development of economy and industrial modernization and urbanization process continues to advance, the greater demand for oil and other energy and foundation. Due to lack of oil production, China's oil imports rose steadily in recent years, the import dependence continues to expand, coupled with the frequent fluctuation of the oil price, the oil supply chain in China has huge potential safety problems. Therefore, the optimization of existing oil supply chain network system, and give full play to the role of market allocation of resources, is one of the effective ways to solve the shortage of petroleum resources. This article first elaborated the petroleum status of supply chain optimization problem, points out the problems in present research. Further research on the strategic petroleum reserve value, and constructed and put forward suggestions for perfecting China's petroleum reserve system. The purpose is to enrich the petroleum supply chain optimization strategy, further improve the supply chain management of our country actual oil.


JEJAK ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 1-11
Author(s):  
Mangasa Augustinus Sipahutar ◽  
Rina Oktaviani ◽  
Hermanto Siregar ◽  
Bambang Juanda

Linkage of credit on BI rate, funds rate, inflation, and government spending on capital provides evidence from Indonesia. This paper found advance explanation about banks credit as monetary transmission channel and its role on Indonesian economy. We used credit depth as a ratio of banks credit to GDP nominal, to explain the role of credit in Indonesian economy. We developed a VAR model to measure the response of credit to BI rate, funds rate and inflation rate, and OLS method to find out how banks credit response to government spending on capital. This paper revealed bi-direction causality between credit and BI rate, credit and funds rate, and credit and inflation. There is trade-off between credit and BI rate, credit and funds rate, and credit and inflation, but government spending on capital promotes credit depth. We found that Indonesian banking is bank view, allocated their credit based on their performance, not merely on the monetary policy determined by central bank. For bank view perspectives, we analyzed the link between LDR as an indicator of credit channel mechanism to NPLs and CAR. We found that there is no significant effect of CAR to LDR, but has a strong negatively relationship between NPLs to LDR. This evidence indicates that commercial banks in Indonesia allocated their credit do not related to their capital but merely to the quality of their credit portfolio.


2020 ◽  
Vol 12 (9) ◽  
pp. 95
Author(s):  
Andrea Incerpi ◽  
Barbara Pistoresi ◽  
Alberto Rinaldi

This paper analyses the impact of different sources of financing (foreign capital, migrants’ remittances, and domestic banks intermediation) on Italy’s economic development between 1861 and the World War I. Existing literature has analysed the role of these channels of financial intermediation separately, while this paper for the first time considers them in conjunction. Using IRF from a Cholesky identification structure of a VAR model and relying on an original dataset that combines the most recent series of several financial and economic aggregates, this paper shows that investment in Italy was fuelled by a plurality of sources of funding. A crucial role was played by national saving mobilized by domestic banks and also remittances had a significant impact. Our evidence is instead weaker for foreign capital.


2022 ◽  
Vol 18 (1) ◽  
pp. 37-54
Author(s):  
Somjai Nupueng ◽  
Peter Oosterveer ◽  
Arthur P. J. Mol

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammadreza Mahmoudi ◽  
Hana Ghaneei

Purpose This study aims to analyze the impact of the crude oil market on the Toronto Stock Exchange Index (TSX). Design/methodology/approach The focus is on detecting nonlinear relationship based on monthly data from 1970 to 2021 using Markov-switching vector auto regression (VAR) model. Findings The results indicate that TSX return contains two regimes: positive return (Regime 1), when growth rate of stock index is positive; and negative return (Regime 2), when growth rate of stock index is negative. Moreover, Regime 1 is more volatile than Regime 2. The findings also show the crude oil market has a negative effect on the stock market in Regime 1, while it has a positive effect on the stock market in Regime 2. In addition, the authors can see this effect in Regime 1 more significantly in comparison to Regime 2. Furthermore, two-period lag of oil price decreases stock return in Regime 1, while it increases stock return in Regime 2. Originality/value This study aims to address the effect of oil market fluctuation on TSX index using Markov-switching approach and capture the nonlinearities between them. To the best of the author’s knowledge, this is the first study to assess the effect of the oil market on TSX in different regimes using Markov-switching VAR model. Because Canada is the sixth-largest producer and exporter of oil in the world as well as the TSX as the Canada’s main stock exchange is the tenth-largest stock exchange in the world by market capitalization, this paper’s framework to analyze a nonlinear relationship between oil market and the stock market of Canada helps stock market players like policymakers, institutional investors and private investors to get a better understanding of the real world.


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