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    Identifying Key Financial Variables Predicting the Financial Performance of Construction Companies

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 003::page 04024007-1
    Author:
    Wonkyoung Seo
    ,
    Byungil Kim
    ,
    Seongdeok Bang
    ,
    Youngcheol Kang
    DOI: 10.1061/JCEMD4.COENG-13959
    Publisher: ASCE
    Abstract: The purpose of this study is to develop a model for predicting the financial performance of construction companies based on their financial statement data. Several models for predicting financial performance have been developed in the general finance field over the past few decades. However, these conventional models are not always suitable for the construction industry, which operates on a project-based system. While there have been attempts to develop financial models specific to the construction industry, the proposed model in this study stands apart, as it is designed based on the differences between the construction and manufacturing industries. For this research objective, financial variables presumably affecting a construction company’s financial performance are identified through literature review, industry expert interviews, and statistical tests, which explore differences between construction and manufacturing companies’ financial characteristics. Taking the identified variables from these approaches, this study proposed a prediction model for the return on asset and enterprise value per share of construction companies. The prediction model was applied to construction and manufacturing companies’ financial data, and it was verified that it showed significantly higher explanatory power in the construction data. In addition, a panel regression analysis was applied to examine how each variable is correlated with the financial performance of construction companies. Based on the identification of difference between the construction and manufacturing sectors, this study developed a more appropriate explanation model for the financial performance of construction companies. In this regard, this study adds empirical evidence that the factors influencing financial performance vary by industry. Further, the identification of financial variables that affect the performance of construction companies can assist practitioners in establishing investment and financial strategies.
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      Identifying Key Financial Variables Predicting the Financial Performance of Construction Companies

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4297437
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    contributor authorWonkyoung Seo
    contributor authorByungil Kim
    contributor authorSeongdeok Bang
    contributor authorYoungcheol Kang
    date accessioned2024-04-27T22:45:51Z
    date available2024-04-27T22:45:51Z
    date issued2024/03/01
    identifier other10.1061-JCEMD4.COENG-13959.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4297437
    description abstractThe purpose of this study is to develop a model for predicting the financial performance of construction companies based on their financial statement data. Several models for predicting financial performance have been developed in the general finance field over the past few decades. However, these conventional models are not always suitable for the construction industry, which operates on a project-based system. While there have been attempts to develop financial models specific to the construction industry, the proposed model in this study stands apart, as it is designed based on the differences between the construction and manufacturing industries. For this research objective, financial variables presumably affecting a construction company’s financial performance are identified through literature review, industry expert interviews, and statistical tests, which explore differences between construction and manufacturing companies’ financial characteristics. Taking the identified variables from these approaches, this study proposed a prediction model for the return on asset and enterprise value per share of construction companies. The prediction model was applied to construction and manufacturing companies’ financial data, and it was verified that it showed significantly higher explanatory power in the construction data. In addition, a panel regression analysis was applied to examine how each variable is correlated with the financial performance of construction companies. Based on the identification of difference between the construction and manufacturing sectors, this study developed a more appropriate explanation model for the financial performance of construction companies. In this regard, this study adds empirical evidence that the factors influencing financial performance vary by industry. Further, the identification of financial variables that affect the performance of construction companies can assist practitioners in establishing investment and financial strategies.
    publisherASCE
    titleIdentifying Key Financial Variables Predicting the Financial Performance of Construction Companies
    typeJournal Article
    journal volume150
    journal issue3
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-13959
    journal fristpage04024007-1
    journal lastpage04024007-14
    page14
    treeJournal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 003
    contenttypeFulltext
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