Distinctiveness of Highly Risky Italian Firms That are Saved-A Logistic Approach

Autor:	Marco Muscettola
Rok vydání:	2018
Předmět:	Credit rating Class (computer programming) Identification (information) Actuarial science Order (exchange) Immunology Sample (statistics) Optimal distinctiveness theory Business Financial statement Test (assessment)
Zdroj:	Applied Economics and Finance. 6:64
ISSN:	2332-7308 2332-7294
Popis:	In our paper, we use a default mode approach in order to accurately classify a sample of 3,835 Italian manufactu­ring companies, and to gauge their health status on the basis of variables taken from the financial statement. The present study is oriented to test the potentiality of salvation for firms included within the worst classes of rating. The research aims to support the resolution of an elaborate theme: the identification of both highly risky companies designed to survive despite their own class of statistical rating, and firms that will move closer to a default status. In this way, the consequences of our examination could help to recognize, among firms considered "highly risky", the latent durability on the time.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::59e5ead2de43f196748b97fbe8662761 https://doi.org/10.11114/aef.v6i1.3843 Zobrazit plný text záznamu