Mihail Glubokov

Scoring under uncertainty

Mathematical methods for selecting borrowers of credit under conditions of incomplete information about their financial condition

• Broschiertes Buch

Produktbeschreibung

The book contains mathematical methods of scoring credit borrowers under uncertainty.In this case, different scoring methods are offered for the reader's attention. Thus, the first chapter analyzes the existing scoring methods. The second chapter analyzes the applicability of existing methods of risk and uncertainty assessment for solving the problems of selecting borrowers of credit resources. The third chapter considers the method of assessing the feasibility of the credit contract, based on the analysis of profits, indicated by the borrower in the financial statements. The fourth chapter considers the method of technical and economic expertise of borrowers of credit resources. The method is based on the assessment of the economic efficiency of fixed assets specified by borrowers in business plans (economic justifications). The fifth chapter is devoted to the analysis of prospects for the development of the profession of "scoring manager".

Produktdetails

• Verlag: Our Knowledge Publishing
• Seitenzahl: 92
• Erscheinungstermin: 20. Januar 2022
• Englisch
• Abmessung: 220mm x 150mm x 6mm
• Gewicht: 140g
• ISBN-13: 9786204414928
• ISBN-10: 6204414925
• Artikelnr.: 63327607

Autorenporträt

Se graduó en la Universidad Militar de Finanzas y Economía en 2000.2000-2003. - Jefe de contabilidad superior.2003-2009. - Investigador senior (analista). Preparó una tesis doctoral.2009-2012. - Jefe adjunto del Departamento de Planificación del Instituto Central de Investigación de Ingeniería Mecánica de la FSUE.2012-presente Profesor Asociado, Profesor Asociado en la Academia de Protección Civil del Ministerio de Situaciones de Emergencia de Rusia.