scispace - formally typeset
K

Konstantinos Gavriilidis

Researcher at University of Stirling

Publications -  25
Citations -  515

Konstantinos Gavriilidis is an academic researcher from University of Stirling. The author has contributed to research in topics: Herding & Institutional investor. The author has an hindex of 8, co-authored 20 publications receiving 371 citations. Previous affiliations of Konstantinos Gavriilidis include Durham University.

Papers
More filters
Journal ArticleDOI

Sentiment, mood and outbound tourism demand

TL;DR: In this article, the authors investigate spillover effects from sentiment and mood shocks on US outbound tourism demand from 1996 until 2013, using the Index of Consumer Sentiment and Economic Policy Uncertainty Index as proxies for sentiment and the S&P500 as a proxy for mood.
Journal ArticleDOI

Institutional industry herding: Intentional or spurious?

TL;DR: In this article, the authors investigate the extent to which institutional herding at the industry level is motivated by intent and assess intent using both market and sector states based on three variables (returns; volatility; volume), in order to gauge whether herding intent is more relevant to conditions prevailing in a sector or the market as a whole.
Journal ArticleDOI

Investor mood, herding and the Ramadan effect

TL;DR: In this paper, the positive mood documented during Ramadan translates into higher herding compared to non-Ramadan days, and significant herding during Ramadan in most of the seven majority Muslim countries was reported.
Journal ArticleDOI

Investor Mood, Herding and the Ramadan Effect

TL;DR: In this article, the positive mood documented during Ramadan translates into higher herding compared to non-Ramadan days, and significant herding during Ramadan in most of the seven majority Muslim countries was reported.
Journal ArticleDOI

Volatility forecasting across tanker freight rates: the role of oil price shocks

TL;DR: In this article, the authors examined whether the inclusion of oil price shocks of different origin as exogenous variables in a wide set of GARCH-X models improves the accuracy of their volatility forecasts for spot and 1-year time-charter tanker freight rates.