1987
DOI: 10.1002/1520-6297(198724)3:4<427::aid-agr2720030408>3.0.co;2-k
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A procedure for evaluating grain elevator bankruptcies

Abstract: During the 1981-1982 season, seven grain elevator bankruptcies occurred in Louisiana resulting in significant losses to warehouse receipts and scale ticket holders, to creditors, and to owners of the elevators. Through a rigorous comparison of certain financial and operating ratios of those that failed with a sample of survivors, a procedure for evaluation and prediction of failures was investigated. Measures of liquidity, solvency, cash on hand, and the number of grains handled predicted six of the seven bank… Show more

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“…Some measures of financial performance and current liquidity were also found to be significant indicators of failure. The research of Siebert (99) was the first to focus on the development of regional insolvency prediction models for agricultural businesses.4 He developed two "early warning" models for country grain 4Wharton et al (113) developed a linear discriminant function model based on 1980-1982 information obtained from seven bankrupt and twenty-two non-bankrupt Louisiana grain elevators. The results of this study will not be discussed in this review of literature because of its narrow geographic scope and use of extremely small samples.…”
Section: Although the Linear Discriminant Function Model Developed Bymentioning
confidence: 99%
“…Some measures of financial performance and current liquidity were also found to be significant indicators of failure. The research of Siebert (99) was the first to focus on the development of regional insolvency prediction models for agricultural businesses.4 He developed two "early warning" models for country grain 4Wharton et al (113) developed a linear discriminant function model based on 1980-1982 information obtained from seven bankrupt and twenty-two non-bankrupt Louisiana grain elevators. The results of this study will not be discussed in this review of literature because of its narrow geographic scope and use of extremely small samples.…”
Section: Although the Linear Discriminant Function Model Developed Bymentioning
confidence: 99%