Oil Markets and Price Movements: A Survey of Determinants

2012 ◽  
Author(s):  
Hillard Huntington ◽  
Zhuo Huang ◽  
Saud M. Al-Fattah ◽  
Michael Gucwa ◽  
Ali Nouri
Keyword(s):  
2013 ◽  
Author(s):  
Hillard Huntington ◽  
Saud M. Al-Fattah ◽  
Zhuo Huang ◽  
Michael Gucwa ◽  
Ali Nouri
Keyword(s):  

2020 ◽  
Author(s):  
Mikidadu Mohammed ◽  
Jose A. Barrales-Ruiz

Abstract At the onset of coronavirus in January 2020, crude oil price was around $51.63 per barrel. But the subsequent spread of the virus across countries all over the world adversely impacted the day-to-day functioning of major industries, corporations, and economies. This adverse impact was amplified by the lockdown measures by governments who were justifiably concerned about the potential devastating effect of the pandemic. As the outbreak intensified, so did oil prices plunge into historic lows (at some point, negative). Is the precipitous drop in oil prices due to the COVID-19 pandemic or are there potentially other factors at play? In this paper, we investigate this question using a pentavariate structural vector autoregression (SVAR) model. Specifically, we identify an exogenous oil price shock arising from the pandemic together with the traditional underlying supply, demand, and financial market shocks to global crude oil markets. We find that a pandemic shock causes a delayed adverse effect on oil prices. In addition, our findings lend support to the view that changes in financial market conditions that affect financial investment decisions also play a significant role in oil price movements. There is however no evidence of a strong impact emanating from the brief Russia-Saudi price war. We also compute the forecast error variance decomposition and find that the impact of a pandemic shock together with aggregate demand and financial market shocks are not trivial in the short run. Taken together, the findings underscore the fruitfulness of research aimed at better understanding the effects of a pandemic shock on oil price movements and highlight the need for policymakers and market stakeholders to explicitly consider global health conditions when analyzing the causes and consequences of oil price shocks.


2013 ◽  
Author(s):  
Hillard Huntington ◽  
Saud M. Al-Fattah ◽  
Zhuo Huang ◽  
Michael Gucwa ◽  
Ali Nouri
Keyword(s):  

GIS Business ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 109-126
Author(s):  
Nitin Tanted ◽  
Prashant Mistry

One of the highly controversial issues in the area of finance is “Efficient Market Hypothesis”. Efficient Market Hypothesis states that, “In an efficient market, all available price information is reflected in the stock prices and it is not possible to generate abnormal returns compared to other investors.” A lot of studies conducted previouslyto test the Efficient Market Hypothesis, confirmed the theory until recent years, when some academicians found it to be non-applicable in financial markets. According to them, it is possible to forecast the stock price movements using Technical Analysis. The results of various studies have been inconclusive and indefinite about the issue. This study attempted to test the efficiency of FMCG Sector stocks in India in its weak form. For the study, closing prices of top 10 stocks from Nifty FMCG index has been taken for the 5-year period ranging from 1st October 2014 to 30th September 2019. Wald-Wolfowitz Run test has been used to test the haphazard movements in the stock price movements. The results indicated that FMCG sector stocks does support the Efficient Market Hypothesis and exhibit efficiency in its weak form. Hence, it is not possible to accurately predict the price movements of these stocks.


2009 ◽  
Author(s):  
Berlinda Liu ◽  
Srikant Dash
Keyword(s):  

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