A Conceptual Model to Measure Football Player’s Market Value. A Proposal by means of an Analytic Hierarchy Process. [Un modelo conceptual para medir el valor de mercado de los futbolistas. Una propuesta a través de un proceso analítico jerárquico].

Autor: Carlos Poza

Publikováno v: Revista Internacional de Ciencias del Deporte, Vol 16, Iss 59, Pp 24-42 (2020)

Abstrac The aim of this article is to propose a conceptual model to estimate football players’ market value, particularly in the position of forward. The model has been constructed by means of the Analytic Hierarchy Process (AHP) and the partici

Externí odkaz: https://doaj.org/article/3f1d476dbe6645dda1ecf7033993224f

Management of the entry barriers of the Spanish company in its process for the implementation of emerging markets- The Chinese, the Brazilian and the Mexican cases

Autor: Carlos Poza, Patricia Mateo, Gonzalo Solana

Publikováno v: Revista Escuela de Administracion de Negocios, Vol 0, Iss 73, Pp 184-195 (2012)

Rev.esc.adm.neg La finalidad de este estudio es analizar las estrategias de entrada al mercado que las empresas españolas han seguido en su proceso de implantación en algunos países emergentes tales como China, Brasil o México. Para ello, se ha

Externí odkaz: https://doaj.org/article/5f40d28395564ba3a4a953f116924e48

A proposal of a suspicion of tax fraud indicator based on Google trends to foresee Spanish tax revenues

Autor: Sofía Borgia, Manuel Monge, Carlos Poza

Publikováno v: DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
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This article contributes to the relationship between fiscal fraud and tax collection in the Spanish economy, creating a composite suspicion tax fraud indicator (STFI) based on Google Trends searches to study the dynamics and foresee tax revenues evol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c670d08e657bb4e2ada67db2d6f165d3
https://doi.org/10.1016/j.inteco.2021.11.002

Forecasting Spanish economic activity in times of COVID-19 by means of the RT-LEI and machine learning techniques

Autor: Carlos Poza, Manuel Monge

Publikováno v: DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
instname

The main aim of this paper is to analyse and estimate the behaviour of the Spanish economic activity in the next 12 months, by means of a Real-Time Leading Economic Indicator (RT-LEI), based on Google Trends, and the real GDP. We apply methodologies

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36ff297bc2a0ba0aa96b5b2c0d684f9e
https://doi.org/10.1080/13504851.2021.1994122

A real time leading economic indicator based on text mining for the Spanish economy. Fractional cointegration VAR and Continuous Wavelet Transform analysis

Autor: Carlos Poza, Manuel Monge

Publikováno v: DDFV: Repositorio Institucional de la Universidad Francisco de Vitoria
Universidad Francisco de Vitoria
DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
instname

The main aim of this paper is to build a Real Time Leading Economic Indicator (RT-LEI) that improves Composite Leading Indicators (CLI)’s performance to anticipate GDP trends and turning points for the Spanish economy. The indicator has been constr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb0d6fa5c4a188397084f7c1a61e7239
https://doi.org/10.1016/j.inteco.2020.02.002