Advanced Search
MyIDEAS: Login

Modelos De Estimación De Ingresos En Empresas De Internet /

Contents:

Author Info

  • Alonso Conde, A.B.

    (Universidad Rey Juan Carlos I (España))

  • Rojo Suárez, J.

    (Universidad Rey Juan Carlos I (España))

Registered author(s):

    Abstract

    El objetivo de este trabajo es establecer una metodología de estimación de ingresos para empresas del sector de Internet, con el propósito de llevar a cabo posteriormente una valoración de las mismas. En este trabajo se aplica el modelo al caso de la empresa Amazon.com, por ser una de las empresas más representativas de este sector. El método propuesto está basado en un modelo de regresión lineal de los ingresos tomando como variable explicativa los visitantes únicos de la empresa. Para realizar el pronóstico de los visitantes únicos se utilizará la metodología Box-Jenkins para el análisis de series temporales (ARIMA). / The aim of this paper is to establish a methodology to forecast revenues for Internet companies, and then it can be used to value them. The proposed method is based on a linear regression of incomes taken as an exogenous variable of the unique visitors of the firm. on the other hand, we use Box-Jenkins methodology for temporal series (ARIMA) to forecast unique visitors.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://www.aedem-virtual.com/articulos/iedee/v11/112027.pdf
    File Function: complete text
    Download Restriction: no

    Bibliographic Info

    Article provided by Academia Europea de Dirección y Economía de la Empresa (AEDEM) in its journal Investigaciones Europeas de Dirección y Economía de la Empresa.

    Volume (Year): 11 (2005)
    Issue (Month): 2 ()
    Pages: 27-43

    as in new window
    Handle: RePEc:idi:jiedee:v:11:y:2005:i:2:p:27-43

    Contact details of provider:
    Postal: Investigaciones Europeas de Dirección y Economía de la Empresa, Facultad de Ciencias Económicas y Empresariales, Universidad de Vigo, Lagoas - Marcosende s/n, E-36310, Vigo, Pontevedra, España
    Phone: (+34) 986812473
    Fax: (+34) 986812401
    Web page: http://www.aedem-virtual.com/es/journal/iedee

    Related research

    Keywords: Empresas de Internet; Estimación de ingresos; Estimación de Visitantes Únicos; Modelos de Regresión Lineal; Modelos de Serie Temporal.; Internet Companies; Forecast of Revenues; Linear Regression; Time Series;

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:idi:jiedee:v:11:y:2005:i:2:p:27-43. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Tony Crespo Franco).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.