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Virginia Tech

Credit risk-rating system for agricultural leases

Abstract

dc:description.abstract

Agricultural leases issued to forestry, dairy and cash crops operators from 1980-1992 are reviewed to determine factors statistically significant in predicting risk level (probability of default and/or probability of late payment) of the lessee for each industry. From a previous study of Telmark, 1990, literature review and the Recommendations of the Farm Financial Standards Task Force financial, operator/lessee and farmer/operator variables are selected for analysis. Data obtained from Telmark,Inc. are used to develop a model to explain lease risk level of the forestry, dairy, and crops industries. Results show that for forestry the following financial, lessee/operator, and farmer/operator variables are useful in determining riskiness: operating expense to revenue, cash flow coverage, capital turnover, years in business, gross revenue, and owner's equity. The dairy results indicate that the following variables are important: current ratio, cash flow coverage, return on assets, capital turnover, operating expense to revenue, FHA loan secured, owner's equity, and gross revenue. The crop results indicate percent equity, current ratio, cash flow coverage ratio, return on assets, capital turnover, operating expense to revenue, interest to income, real estate owned, years in business, FHA loan-secured, and owner's equity are significant variables for determining lease risk. Using the results from these models, a weighted average cost of misclassifying a lease is calculated. This is used to develop a profit maximizing criterion for determining whether a lease is high or low risk. The need for future work is discussed. In the area of weighted average cost of misclassifying a lease, additional information on the costs of leasing and riskiness of the population would aid in reducing the misclassified leases in the portfolio. Further study exploring some of the unexpected results in this study would be beneficial to both the lessee and the lessor.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Agricultural Economics
Department dc:contributor.department
Agricultural Economics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1992

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Jarvis, Marilyn Adams
Chairs dc:contributor.committeechair
  • McGuirk, Anya M.
  • Kohl, David M.
Committee member dc:contributor.committeemember
  • White, Alexander B.

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
etd-12232009-020554
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/46406

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Jarvis, Marilyn Adams. Credit risk-rating system for agricultural leases. masters thesis, Virginia Tech, 1992. http://hdl.handle.net/10919/46406