Agricultural lending and early warning models of bank failures for the late 2000s Great Recession
Author
Abstract
Suggested Citation
DOI: 10.1108/00021461311321357
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Chen, Jian & Katchova, Ani L. & Zhou, Chenxi, 2021.
"Agricultural loan delinquency prediction using machine learning methods,"
International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(5), May.
- Chen, Jian & Katchova, Ani, 2019. "Agricultural Loan Delinquency Prediction Using Machine Learning Methods," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290745, Agricultural and Applied Economics Association.
- Zheng, Maoyong & Escalante, Cesar L., 2020. "Do Aggressive Business Growth Strategies Lead to Bank Failure? An Application of the Sustainable Growth Challenge Paradigm to Banking Failures of the Late 2000s Great Recession," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304211, Agricultural and Applied Economics Association.
More about this item
Keywords
Agricultural loans; Bank failures; Early warning signals; Funding arrangements; Interest rate risk; Late 2000s Great Recession; Liquidity risk; Loan portfolio risk; Risk‐weighted capital ratio; Agriculture; Banks; Financing;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:afrpps:v:73:y:2013:i:1:p:119-135. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.