Qualitative operational risk software -development of a software tool for determining the root of operational risk

Peña Torres, Dionicio; Rodríguez Monroy, Carlos; Solana Perez, Pablo y Hierro Marqués, José del (2012). Qualitative operational risk software -development of a software tool for determining the root of operational risk. En: "15th International Conference on Quality and Service Sciences", 05/09/2012 - 07/09/2012, Poznan, Polonia. pp. 1174-1101.

Descripción

Título: Qualitative operational risk software -development of a software tool for determining the root of operational risk
Autor/es:
  • Peña Torres, Dionicio
  • Rodríguez Monroy, Carlos
  • Solana Perez, Pablo
  • Hierro Marqués, José del
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 15th International Conference on Quality and Service Sciences
Fechas del Evento: 05/09/2012 - 07/09/2012
Lugar del Evento: Poznan, Polonia
Título del Libro: 15th International Conference on Quality and Service Sciences
Fecha: 2012
Materias:
Palabras Clave Informales: Operational risks, Value at risk, Software tool
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (1MB) | Vista Previa

Resumen

This article shows software that allows determining the statistical behavior of qualitative data originating surveys previously transformed with a Likert’s scale to quantitative data. The main intention is offer to users a useful tool to know statistics' characteristics and forecasts of financial risks in a fast and simple way. Additionally,this paper presents the definition of operational risk. On the other hand, the article explains different techniques to do surveys with a Likert’s scale (Avila, 2008) to know expert’s opinion with the transformation of qualitative data to quantitative data. In addition, this paper will show how is very easy to distinguish an expert’s opinion related to risk, but when users have a lot of surveys and matrices is very difficult to obtain results because is necessary to compare common data. On the other hand, statistical value representative must be extracted from common data to get weight of each risk. In the end, this article exposes the development of “Qualitative Operational Risk Software” or QORS by its acronym, which has been designed to determine the root of risks in organizations and its value at operational risk OpVaR (Jorion, 2008; Chernobai et al, 2008) when input data comes from expert’s opinion and their associated matrices.

Más información

ID de Registro: 20648
Identificador DC: http://oa.upm.es/20648/
Identificador OAI: oai:oa.upm.es:20648
Depositado por: Memoria Investigacion
Depositado el: 26 Feb 2014 19:19
Ultima Modificación: 21 Abr 2016 23:28
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM