DSpace Repository

Prediction of Bankruptcy Risk: Evidence from Listed Manufacturing Companies in Sri Lanka

Show simple item record

dc.contributor.author Senevirathne, K.M.S.
dc.contributor.author Kuruppu, G.N.
dc.date.accessioned 2022-03-10T06:14:20Z
dc.date.available 2022-03-10T06:14:20Z
dc.date.issued 2018
dc.identifier.citation Senevirathne, K.M.S., Kuruppu, G.N.(2018). Prediction of Bankruptcy Risk: Evidence from Listed Manufacturing Companies in Sri Lanka, VJM 2018, Vol. 04(1) 55-73 en_US
dc.identifier.uri http://dr.lib.sjp.ac.lk/handle/123456789/10509
dc.description.abstract The past experience in number of industries evidenced that even healthy companies can bankrupt and abolish stakeholder confidence while creating a significant damage to country’s economy. Though stakeholders are vulnerable, how they can assess the bankruptcy level is another question that researchers are trying to answer. This creates an urgency to find out the bankruptcy level of manufacturing companies in Sri Lanka using an appropriate model and publicly available information in order to protect stakeholders. Therefore, the objective of the study is to investigate the degree to which bankruptcy risk can be predicted from the business performance of listed manufacturing companies in Sri Lanka. Quantitative approach has been applied in the study align with the ZETA model. Secondary data was used in this study which gathered through the annual reports and the data was analysed through e-views 6 software. The study found that bankruptcy risk can be identified from financial performance and non-financial performance. The finding of the study benefits the different stakeholders to make decisions relevant to manufacturing firms in Sri Lanka. en_US
dc.language.iso en en_US
dc.publisher Faculty of Management Studies and Commerce, University of Sri Jayewardenepura en_US
dc.subject Bankruptcy risk, Business performance, Manufacturing companies, ZETA model en_US
dc.title Prediction of Bankruptcy Risk: Evidence from Listed Manufacturing Companies in Sri Lanka en_US
dc.type Article en_US
dc.identifier.doi https://doi.org/10.31357/vjm.v4i1.3634 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account