Predicting Impact of COVID-19 on Crude Oil Price Image with Directed Acyclic Graph Deep Convolution Neural Network

Abstract

In sequential data, prediction and image classification, deep learning methods have obtained outstanding results. In this study, we propose image transformation of time series crude oil price by incorporating Directed Acyclic Graph to Convolutional Neural Network (DAG) based on image processing characteristics. Crude oil price time series is converted into 2-D images, utilizing 10 distinctive technical indicators. Geometric Brownian Motion was utilized to produces data for a 10-day time span. Thus, a 2-D image with a size of 10x10 sized 2-D is constructed. Then mark each image as "buy" or "sell" based on time series returns. The results show that integrating DAG with CNN improves the prediction accuracy by 14.18%. DAG perform best with an accuracy of 99.16%, sensitivity of 100% and specificity of 99.19%. COVID-19 has negatively affected Nigeria crude oil price which indicates a downward trend of crude oil price. The study recommends poly-cultural economy of Nigeria economy for national development of the nation.

COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

“…The [37]. In this study, we considered three macro-economic factors such as South Korea exchange rate (KR), Jakarta Composite Index (JK) and KOSPI Composite Index (KS).…”

“…The authors [15] suggested image processing of time series crude oil price through the integration of Directed Acyclic Graph to Convolutional Neural Network (DAG). The results indicated that combining DAG with CNN increases forecast accuracy by 14.18%.…”

Predicting COVID-19 impact on demand and supply of cryptocurrency using machine learning

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“…The Novel Coronavirus, sometimes called COVID-19, was one of the newest economic concerns; China officially recognized the pneumonia virus in 2019. Wuhan, China, the source of coronavirus was quarantined by 23 January 2020 as the virus spreads wildly over several nations and continents [4]. With COVID-19 rapidly spreading throughout the country, it became a national issue causing to massive industrial and corporate shutdowns.…”

Garbage Collecting Ship Robot Using Arduino Uno Microcontroller Based on Android Smartphone

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