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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM11176

The Role of Artificial Intelligence in Enhancing Commodity Trading and Risk Management Solutions

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM11176

Volume:

5 |

12 |

Dec 2021

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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10.55041/IJSREM11176

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MH

Manu Handa

RA

Ridhima Arora

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Abstract

This paper explores the transformative impact of Artificial Intelligence (AI) on commodity trading and risk management. It delves into how AI technologies can enhance the efficiency and effectiveness of front office, middle office, and back office operations. The paper discusses various applications of AI, including price forecasting, real-time market insights, risk assessment, fraud detection, and the generation of Business Intelligence (BI) reports and dashboards. Additionally, it examines how AI can automate reconciliation processes, simulate prices, and audit master and transactional data for compliance purposes. Real-life examples of AI-enhanced Commodity Trading and Risk Management (CTRM) software are provided to illustrate these benefits. The paper also addresses the challenges and future prospects of AI implementation in this sector.

KEYWORDS

Artificial Intelligence Commodity Trading Risk Management CTRM Price Forecasting Market Insights Risk Assessment Fraud Detection Business Intelligence Reconciliation Price Simulation Data Auditing Compliance Automation

Cite This Article

Manu Handa, Ridhima Arora, "The Role of Artificial Intelligence in Enhancing Commodity Trading and Risk Management Solutions," International Journal of Scientific Research in Engineering and Management, vol. 5, no. 12, Dec 2021. https://doi.org/10.55041/IJSREM11176

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Publication Date

12/27/2021

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Review Rounds: 2

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