Model Relationship Between Performance Criteria And The MostSignificant Accounting of Value-Based Criteria: Economic AddedValue (EVA)
Dublin Core
Title
Model Relationship Between Performance Criteria And The MostSignificant Accounting of Value-Based Criteria: Economic AddedValue (EVA)
Subject
EVA,PerformanceCriteria,BankValue,PanelData
Description
Monetary patrons make informed decisions by assessing positive pointers that anassociationcouldshowfrom thispointforward,ratherthanrelyingaltogetheruponitsevidentexecution. Consequently, this assessment plans to explore the relationship between executionnorms and the main worth based estimation: Monetary Added Worth (EVA). Besides, itinvestigates what future EVA values mean for a bank's overall worth. The audit uses BoardData Examination and OLS Backslide models to assess the backslide condition. The auditseparated data from ten banks in the BIST Banks Rundown spreading over the period from2011to2020.Inthismanner,theMonetaryAddedWorth(EVA)measureswerechangedintostandardized EVA (SEVA) by parceling EVA by full scale assets. The eventual outcomes ofthe Standard Least Squares (OLS) backslide assessment showed that the model's illustrativepower for the SEVA variable was 71.92%. Extraordinarily, three variables showed positiveassociations with SEVA: benefit per share (EPS) and TOBINQ at a significance level of 1%,aswellastheimprovementspeedofcostto-bargainsatasignificancelevelof10%.ConcerningBoard Data Assessment, the SEVA variable showed an illustrative power of 72.14%, with abasicrelationshipsawamongSEVAandtheEPSandTOBINQmeasuresatthe1%significance level. Observational revelations recommend that including future SEVA as amediator for bank regard holds responsibility, and it is recognized that the SEVA variable cango about as an intermediary measure for bank regard. Concerning Board Data Examination,the SEVA variable displayed a sensible power of 72.14%. Very, its relationship with the payper share (EPS) and TOBINQ models was seen as immense at the 1% significance level.Careful assessments suggest that the model, which involves future SEVA as a middle personfor bank regard, holds ensure. It is recognized that the SEVA variable can go about as asubstitute measurefor bank regar
Creator
Rafika Sari1*,VhikaMeiriasari2
Source
https://dinastipub.org/DIJEFA/article/view/3044/1883
Publisher
UniversitasIndoGlobalMandiri
Date
16July2024
Contributor
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Rafika Sari1*,VhikaMeiriasari2, “Model Relationship Between Performance Criteria And The MostSignificant Accounting of Value-Based Criteria: Economic AddedValue (EVA),” Repository Horizon University Indonesia, accessed April 20, 2025, https://repository.horizon.ac.id/items/show/6077.