Postgraduate Certificate in Credit Risk Modelling for Energy Sector
-- ViewingNowThe Postgraduate Certificate in Credit Risk Modelling for the Energy Sector is a comprehensive course designed to equip learners with essential skills in credit risk assessment and energy sector expertise. This course is crucial in a time when the energy sector is rapidly evolving, and there is an increasing demand for professionals who can accurately assess and mitigate credit risk.
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• Credit Risk Assessment in Energy Sector: This unit will cover the fundamentals of credit risk assessment, with a focus on the unique challenges and considerations in the energy sector. Topics will include credit analysis, financial statement analysis, and industry analysis.
• Energy Derivatives and Risk Management: This unit will explore the use of derivatives in managing credit risk in the energy sector. Students will learn about the different types of energy derivatives, such as futures, options, and swaps, and how they can be used to hedge credit risk.
• Energy Credit Portfolio Management: This unit will focus on the management of credit portfolios in the energy sector. Students will learn about portfolio management techniques, including diversification, hedging, and optimization, and how they can be applied to energy credit portfolios.
• Energy Credit Risk Models: This unit will cover the quantitative methods used to model credit risk in the energy sector. Topics will include credit scoring, probability of default (PD) models, loss given default (LGD) models, and exposure at default (EAD) models.
• Energy Credit Risk Regulation: This unit will examine the regulatory framework governing credit risk in the energy sector. Students will learn about the Basel III accord, the Federal Reserve's stress testing program, and other relevant regulations.
• Energy Credit Risk Data Analysis: This unit will focus on the use of data analysis techniques in credit risk management in the energy sector. Students will learn about data visualization, statistical analysis, and machine learning techniques and how they can be applied to credit risk data.
• Energy Credit Risk Case Studies: This unit will provide students with the opportunity to apply the concepts and techniques learned in the previous units to real-world case studies. Students will analyze credit risk scenarios in the energy sector and develop recommendations for risk mitigation.
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- ThreeFourHoursPerWeek
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