How To Fix J6044 - No interpolation carried out

J6044 - Overview

• Message type: E = Error

• Message class: J6 - IS-B: Yield curves

• Message number: 044

• Message text: No interpolation carried out

What causes this issue?

All yield curves whose values have been changed in interest rate
maintenance are written to the extended interest rate table. The
extended interest rate table contains a complete sequence of basic
annual values for all yield curves of the type par rate. The basic
annual values can be interpolated, when they haven't been defined in
the reference interest rate in the yield curve type.
If no reference interest rate has been defined for a yield curve type,
then there will be no interpolation.
If the interest determination process finds no values for the reference
interest, it can't interpolate. Exactly which values the interest
determination process delivers can be checked using the function
<ls>Display Rates</>.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

for 1. In the Implementation Guide, maintain the assignment of
reference interest to yield curve types in <ls>Establish Yield
Curve Type</>.
for 2. Create interest rates (values) for the selected yield curves.
When you <ls>Save</>, the basic annual values for yield curves
of the type par rate are automatically interpolated, and
written to the extended interest rate table.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message J6044 - No interpolation carried out ?

  The SAP error message J6044 "No interpolation carried out" typically occurs in the context of SAP's Advanced Planning and Optimization (APO) module, particularly when dealing with demand planning or forecasting. This error indicates that the system was unable to perform interpolation for the data provided, which is often necessary for generating forecasts or planning data.
  Causes:
  
  
  Insufficient Data: The most common cause is that there is not enough historical data available for the system to perform interpolation. This can happen if the data is missing or if the time series is too short.
  
  
  Data Gaps: If there are significant gaps in the historical data, the system may not be able to interpolate effectively.
  
  
  Incorrect Configuration: The settings for the forecasting model or the data selection criteria may not be configured correctly, leading to issues in data processing.
  
  
  Data Type Issues: The data type or format of the input data may not be compatible with the