Konferenzbeitrag

Causal interrelations among market fundamentals: Evidence from the Europen telecommunications sector

This paper investigates the interdependence of stock returns with some other financial variables applied to several European Telecommunications institutions. In particular, using a multivariate vector autoregressive (VAR) approach this study examines the relation, the direction of the relation, as well as the effects among stock returns, index returns, earnings, capital expenditures and interest rate for companies that play major role in their home stock markets. Unlike the fact that many other previous studies have indicated clear findings of the direction of the causality between those variables, this research cannot support a uniform behavior, although, the selected telecommunications companies have many common characteristics.

Sprache
Englisch

Erschienen in
Series: 23rd European Regional Conference of the International Telecommunications Society (ITS), Vienna, Austria, 1st-4th July, 2012

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Financial Econometrics
Information and Market Efficiency; Event Studies; Insider Trading
Telecommunications
Thema
Vector autoregressive analysis
causal relations
impulse responses
financial variable
Telecommunications market

Ereignis
Geistige Schöpfung
(wer)
Agiakloglou, Christos
Gkouvakis, Michalis
Ereignis
Veröffentlichung
(wer)
International Telecommunications Society (ITS)
(wo)
Calgary
(wann)
2012

Handle
Letzte Aktualisierung
10.03.2025, 11:46 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Agiakloglou, Christos
  • Gkouvakis, Michalis
  • International Telecommunications Society (ITS)

Entstanden

  • 2012

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