Apostolos Kiohos

Technological Educational Institute (TEI) of Athens

Agiou Spyridonos Street

Aigaleo

Athens, Attiki 12210

Greece

SCHOLARLY PAPERS

2

DOWNLOADS

527

SSRN CITATIONS

2

CROSSREF CITATIONS

0

Scholarly Papers (2)

Internet Addiction among Greek University Students: Demographic Associations with the Phenomenon, Using the Greek Version of Young's Internet Addiction Test

International Journal of Economic Sciences and Applied Research, 2010, Vol. 3, No. 1
Number of pages: 35 Posted: 20 Apr 2010 Last Revised: 06 Aug 2014
Technological Educational Institute of Athens - Department of Business Administration, University College London and Technological Educational Institute (TEI) of Athens
Downloads 387 (95,880)
Citation 1

Abstract:

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Greece, university students, Internet addiction, gender, academic performance, sex pages

Internet Addiction among Greek University Students: Demographic Associations with the Phenomenon, Using the Greek Version of Young's Internet Addiction Test

International Journal of Economic Sciences and Applied Research, Vol. 3, No. 1, pp. 49-74
Number of pages: 26 Posted: 28 Aug 2010
Technological Educational Institute of Athens - Department of Business Administration, University College London and Technological Educational Institute (TEI) of Athens
Downloads 129 (275,999)

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Greece, university students, Internet addiction, gender, academic performance, sex pages

2.

Multivariate Modelling of 10-Day-Ahead VaR and Dynamic Correlation for Worldwide Real Estate and Stock Indices

MPRA Paper No. 80438, Journal of Economic Studies , Vol. 2, No. 41 (2014)
Number of pages: 24 Posted: 26 Oct 2018
Stavros Antonios Degiannakis and Apostolos Kiohos
Department of Economic and Regional Development, Panteion University of Political and Social Sciences and Technological Educational Institute (TEI) of Athens
Downloads 11 (708,755)

Abstract:

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Basel Committee Requirements, Diag-VECH, Dynamic Correlation, Local Correlation Predictive Power, Multivariate ARCH, Risk Management, Real Estate Market, Value-at-Risk, Multi-Period Volatility Forecasting