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  4. Dynamic threshold cash flow-based structural model for contractor financial prequalification
 
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Dynamic threshold cash flow-based structural model for contractor financial prequalification

Journal
Journal of Construction Engineering and Management
Journal Volume
140
Journal Issue
10
Date Issued
2014
Author(s)
Huang, W.-H.
Tserng, H.P.
Jaselskis, E.J.
Lee, S.-Y.
HUI-PING TSERNG  
DOI
10.1061/(ASCE)CO.1943-7862.0000902
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/436029
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929082822&doi=10.1061%2f%28ASCE%29CO.1943-7862.0000902&partnerID=40&md5=839ecd54f70f904f0a437ceeb5a9b51a
Abstract
It is important for project owners to select only those construction contractors who are uniquely qualified to perform the work because this leads to the greatest chance for achieving project success. Owners typically screen contractors by using the following key criteria: financial stability, technical ability, management capability, health and safety, and reputation. This study focuses primarily on the construction contractor’s financial stability during the prequalification phase and employs a dynamic threshold cash flow based structural model (DCFM) to assess the credit quality score for each construction contractor. This model differs from the existing credit model because it only requires accounting statement information; thus, it is applicable to both publicly listed and private construction contractors. Moreover, only a small portion of companies are rated in the construction industry; this model is especially useful for owners to assess the credit quality of unrated construction companies. The Standard & Poor’s issuer credit rating is used as the benchmark to evaluate the model’s discrimination ability to differentiate financially qualified contractors from unqualified contractors. Additionally, the validation indicator area under curve (AUC) is utilized to demonstrate whether the DCFM can identify different credit grade firms according to the model’s credit quality scores. The AUC results of the first three years of this model are 0.861, 0.833, and 0.819, indicating that this model achieves excellent discriminatory ability and is useful for assessing the credit risk of construction contractors.
SDGs

[SDGs]SDG16

Type
journal article

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