How To Fix TE254 - Cholesky decomposition cannot be processed due to zero denominator

TE254 - Overview

• Message type: E = Error

• Message class: TE - Market Risk Management

• Message number: 254

• Message text: Cholesky decomposition cannot be processed due to zero denominator

What causes this issue?

During Cholesky decomposition, the demoninator became zero. In detail,
the matrix is not positive definite.

System Response

The calculation cannot proceed. Division to zero is not possible.

How to fix this error?

Check the market data, especially the value for risk factor &V1& and
above.
Check the market data for the same validation date. This could be the
reason for inconsistencies in the values for the correlation
coefficient.

Procedure for System Administrators

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

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message TE254 - Cholesky decomposition cannot be processed due to zero denominator ?

  The SAP error message TE254, which states "Cholesky decomposition cannot be processed due to zero denominator," typically occurs in the context of financial or statistical calculations, particularly when dealing with matrix operations in SAP systems. This error is often related to issues in the underlying data or the configuration of the system.
  
  Cause:
  
  Zero Denominator: The error indicates that during the Cholesky decomposition process, a zero value was encountered in the denominator. This usually happens when the matrix being decomposed is singular or nearly singular, meaning it does not have an inverse.
  Data Issues: The underlying data may contain invalid or missing values, leading to a situation where the matrix cannot be properly decomposed.
  Configuration Errors: There may be issues with the configuration of the financial models or statistical calculations that are being performed.
  
  
  Solution:
  
  Check Input Data: Review the data being used for the calculations. Ensure that there are no missing or invalid values that