How To Fix TE257 - Correlation &1 / &2: Ambiguous correlations on date &3


TE257 - Overview

  • Message type: E = Error

  • Message class: TE - Market Risk Management

  • Message number: 257

  • Message text: Correlation &1 / &2: Ambiguous correlations on date &3

  • Show details Hide details
  • What causes this issue?

    On date &V3&, the correlation between two risk factors is available in
    the market data table in the formats &V1& / &V2& and &V2& / &V1& with
    different values for the correlation.

    System Response

    The system uses the correlation &V4& stored in the market data table in
    the format &V1& / &V2&.

    How to fix this error?

    Check and clean up the correlations under
    <DS:TRAN.CORR_MAINTAIN>Enter Correlations</> (transaction
    <NP>CORR_MAINTAIN</>).

    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 TE257 - Correlation &1 / &2: Ambiguous correlations on date &3 ?
    The SAP error message TE257, which states "Correlation &1 / &2: Ambiguous correlations on date &3," typically occurs in the context of time evaluation or time management within SAP systems. This error indicates that there are multiple entries or records that correlate to the same date, leading to ambiguity in processing.
    
    Cause: Duplicate Entries: There may be multiple time entries or records for the same employee on the same date, which can happen due to incorrect data entry or system errors. Incorrect Configuration: The configuration settings for time management or time evaluation may not be set up correctly, leading to conflicts in how data is interpreted. Data Migration Issues: If data has been migrated from another system, it may have resulted in duplicate or conflicting records. Time Evaluation Settings: The settings for time evaluation may not be properly defined, causing the system to misinterpret the data.
    Solution: Check for Duplicate Records: Review the time entries for the

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