| It is critical for agribusiness lenders to be equipped with adequate knowledge to understand client needs, maintain a keen sense of the rapidly changing competitive landscape and make sound credit and business decisions. This training explores best techniques on how agribusiness credit risk is assessed and the critical components of credit analysis process which continues to frustrate most experienced lenders in their day to day operations. |
• Employees working in agricultural research and value chain entities
• Market development projects managers.
• Banks and other financial institutions in Agribusiness.
• Agribusiness project managers.
• Financial managers responsible for Agribusiness.
• Employees responsible for analysing agricultural value chain finance.
• Relationship managers.
• Credit management staff.
• Government institutions
Agribusiness Agencies.
• NGO staff. |
• Agribusiness Fundamentals
• Bankability Metrics
• Credit risk and mitigation measures
• Agribusiness Accounting
• Quantitative risk assessment
• Agribusiness inspection and Appraisals
• Developing right credit structure
• Early warning signs of deterioration
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At the end of this course, participants will be able to :
• Recognize how the accounting practices and financial statements of agribusinesses differ from those of other commercial enterprises
• Use of bankability metrics in the assessment process, particularly dealing with small agricultural organisations
• Explore barriers facing small holder farmers in accessing loans and mitigation measures
• Perform sensitivity analyses to determine how deviations from projected performance might impact credit risk
• Understand the role of field inspections and property appraisals in evaluating an agribusiness’s operations and identifying security
• Perform qualitative risk analyses that reflect the current economic, environmental, and market conditions impacting the agricultural sector
• Identify measures to mitigate risk
• Making sound credit decisions with confidence based on the available information
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