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Bad Debt Forecasting: Two Methods to Accurately Calculate Future Trade Credit Losses

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This webinar highlights the evolution in methodologies for forecasting trade credit bad debts. Many companies have relied on historical data or a flat percentage of sales to help forecast future credit losses. However, these methodologies don’t allow for changing markets, customer growth, or even increasing geographical diversity. A more accurate measure of future bad debt would examine your existing customer risk and determine what these risk elements tell you about the future possibility of credit losses.

Speaker
Instructor: Pam Krank
Product ID: 702573

Why Should You Attend:

With the increase in global credit risk, companies must fully understand the risk involved within their trade accounts receivable portfolios. Companies need to identify and utilize the existing risk factors within their portfolio to more accurately assess reserve needs and future write-off probabilities. In addition, they must learn from past bad debt expenses to forecast future credit losses.

This informative “how to” webinar highlights how companies can mine their existing customer data and outstanding balance information to create a dynamic forecasting model. We will study the evolution of forecasting bad debt models to show how the top companies in the world create simple, dynamic, accurate reserves no matter how their markets and customer base evolve over time. The webinar will detail the two methods that can be used for any company wishing to accurately calculate bad debt reserves for their accounts receivable portfolio. We will study these two methods in detail and use case studies to show how the methodology works in trade receivables portfolios worldwide.

At the end of this webinar, the speaker will handle your specific questions you may have regarding bad debt forcasting.

Areas Covered in the Webinar:

Who will Benefit:

Instructor Profile:

Pam Krank, is a top global trade receivables expert. She’s a lively and engaging speaker on the subject of credit management. Pam has been studying and managing trade receivables portfolios for 33 years in over 400 companies. Pam works with companies looking to more effectively manage the risk associated with trade credit to maximize cash flow and minimize bad debt expense.

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"Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance.
ComplianceOnline would process/provide refund only if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange. Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs."
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Training Options Training Duration = 90 Min
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