Predicting Corporate Financial distress using logit model

Simple item page
dc.date.accessioned2025-09-18T11:07:18Z
dc.date.available2025-09-18T11:07:18Z
dc.date.issued2020
dc.description.abstractState Bank of Pakistan in its different communications instructed lenders to evaluate their borrowers in different dimensions. One of the major borrower assessments is to estimate probability of default based on borrower’s financial strength.
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/6510
dc.language.isoen
dc.publisherUMT, Lahore
dc.titlePredicting Corporate Financial distress using logit model
dc.title.alternativea case of selected non-financial firms in Pakistan
dc.typeThesis
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Final Thesis .pdf
Size:
1.45 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
2020