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  1. SAP Glossary
  2. Financial Accounting
  3. provisional inflation index


What is provisional inflation index in SAP FI - Financial Accounting?


SAP Term: provisional inflation index

  • Component: FI

  • Component Name: Financial Accounting

  • Description: An inflation index published by a statistical office or other government agency that indicates the estimated rate of inflation for a specific period pending the publication of the final figures. The final rate of inflation is published in a definitive inflation index. Not all countries publish provisional indexes. In many countries, definitive indexes only are published.


Smart SAP Assistant

  • Key Concepts: 
    Provisional inflation index is a tool used in SAP Financial Accounting (FI) to adjust the value of an asset or liability for inflation. It is calculated by taking the difference between the current and previous year's inflation rate and applying it to the asset or liability. This adjustment helps to ensure that the asset or liability is accurately reflected in the company's financial statements. 
    
    How to use it: 
    In SAP FI, the provisional inflation index can be used to adjust the value of an asset or liability for inflation. To do this, first enter the current and previous year's inflation rate into the system. Then, calculate the difference between these two rates and apply it to the asset or liability. This will adjust its value for inflation and ensure that it is accurately reflected in the company's financial statements. 
    
    Tips & Tricks: 
    When using the provisional inflation index, it is important to remember that it only applies to assets and liabilities that are held for more than one year. Additionally, it is important to ensure that the current and previous year's inflation rates are accurate before applying them to an asset or liability. 
    
    Related Information: 
    The provisional inflation index is just one of many tools available in SAP FI for adjusting assets and liabilities for inflation. Other tools include price indices, consumer price indices, and purchasing power parity indices. Additionally, there are various methods available for calculating these indices, such as weighted averages and geometric means.
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