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

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.
 
Nov. 5, 2012 - PRLog -- 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:

What role a company’s historical bad debt expenses play in future losses?
How your credit policy should help you forecast future credit losses?
When to risk rate customer delinquency for your bad debt projections?
How to measure risk of default on all existing customers?
How to mine data from your own technology to help you more accurately forecast bad debt expense?
Specific calculations of the reserves.

Who will Benefit:

CFO’s
Controllers
Credit Directors
Credit Managers

Event Detail:
Date:
         January 22, 2013
Time:          10:00 AM - 11:30 AM PST
Cost:          $199 per attendee per computer terminal
Registration: SIgn-Up on-line now. Add to your shopping cart.

For Registration:
http://www.complianceonline.com/ecommerce/control/trainingFocus/~product_id=702573?channel=PRLog
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Zip:94303
Tags:Bad Debt, Existing customer risk
Industry:Financial services
Location:Palo Alto - California - United States
Subject:Products
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