Orchestrating Real-Valued Negative Selection Algorithm with Computational Efficiency for Crude Oil Price

The need to accurately predict and make right decisions regarding crude oil price motivates the proposition of an alternative algorithmic method based on real-valued negative selection with variable-sized detectors (V-Detectors), by incorporating with fuzzy-rough set feature selection (FRFS) for predicting the most appropriate choices. The objective of this study is enhancing the performance of V-Detectors using FRFS for prices of crude oil. Applying FRFS serves to prune the number of features by retaining the most informative and critical features. The V-Detectors then trains and tests the features. Different radius values are applied for V-Detectors. Experimental outcome in comparison with established algorithms such as support vector machine, naïve bayes, multi-layer perceptron, J48, non-nested generalized exemplars, IBk, fuzzy-roughNN, and vaguely quantified nearest neighbor demonstrates that FRFS-V-Detectors is proficient and valuable for insightful knowledge on crude oil price. Thus, it can assist in establishing oil price market policies on the international scale.

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Technical Analysis of the Crude Oil Price Super-cycle Using Asymmetric Band-Pass Filtering

Jeju National University Tourism, Business, and Economic Research Institute ◽

10.24907/jtir.2020.2.40.1.15 ◽

2020 ◽

Vol 40 (1) ◽

pp. 15-20

Author(s):

Hwa-Nyeon Kim

Keyword(s):

Crude Oil ◽

Technical Analysis ◽

Oil Price ◽

Crude Oil Price ◽

Band Pass

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Impact of crude oil price on the socio-political environment of global countries

Restaurant Business ◽

10.26643/rb.v118i3.7635 ◽

2019 ◽

Vol 118 (3) ◽

pp. 110-122

Author(s):

Johnson Clement Madathil ◽

Velmurugan P. S

Keyword(s):

Crude Oil ◽

Descriptive Analysis ◽

Oil Price ◽

Policy Framework ◽

Political Environment ◽

Policy Reforms ◽

Crude Oil Price ◽

Short Term ◽

Political Impact ◽

New Energy

Crude oil is known to have an impact on people’s life of both producers and consumers of crude oil countries. A producer country’s socio-political impact will be different from a consumer country’s socio-political impact. This paper aims to show that crude oil price has a socio-political impact on global countries through descriptive analysis. The study found that there were similarities in the movement of crude oil price and change in GDP of both India and United States and further Russia and Venezuela have had crude oil impact on their respective GDP’s, which has made them take policy reforms. The paper identifies changes in the policy framework due to influence of crude oil price and eventual changes in existing socio-political environment. Taking oil producing countries such as Russia and Venezuela as examples, this paper suggests that policy reforms are the key to having a stable socio-political environment. Russia shows us that having a flexible monetary policy can keep the budget dependence on crude oil reduced in the short term. On the other hand, for oil consuming countries, having a stable supply and moving to new energy sources is the key to tackle the influence of crude oil price on the socio-political environment of global countries.

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