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http://ssrn.com/abstract=649501
 
 

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Bankruptcy Prediction in the High-Tech Industry


Andrada A Anghelescu


California State University, Fresno - Craig School of Business

Benjamin Y.K. Tai


California State University, Fresno - Craig School of Business

January 16, 2005

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Abstract:     
This study examines the accuracy financial ratios predict bankruptcy in the high-tech industry. The prediction model is based on a sample of 120 companies (60 bankrupt and 60 matching non-bankrupt companies) during the period 2000-2002 for which six financial ratios were employed. The ratios were calculated from financial statements one and two years prior to bankruptcy. Similar studies were conducted by other authors in different industries such as retailing and manufacturing. However, no study has been found in the high-tech industry. The model's predictability is tested by using 20 bankrupt and 20 matching non-bankrupt firms after 2002, and was found to accurately predict 85 percent of the bankruptcy and non-bankruptcy cases.

Number of Pages in PDF File: 36

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Date posted: January 17, 2005  

Suggested Citation

Anghelescu, Andrada A and Tai, Benjamin Y.K., Bankruptcy Prediction in the High-Tech Industry (January 16, 2005). , . Available at SSRN: http://ssrn.com/abstract=649501 or http://dx.doi.org/10.2139/ssrn.649501

Contact Information

Andrada A Anghelescu (Contact Author)
California State University, Fresno - Craig School of Business ( email )
Fresno, CA
Benjamin Y.K. Tai
California State University, Fresno - Craig School of Business ( email )
Fresno, CA
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