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Herding On The Major European Stock Exchange Index

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2. Herding in European and U.K. markets a. Herding in Europe Feng and Seasholes (2004) wrote a paper concerning the geographical delimitations of herding behaviour. They found that there is a significant correlation of trading behaviour made by investors on stock markets and that this correlation increases exponentially when investors are selling and buying within a specific geographical area. Indeed, the study showed that trades, which can be either sales or purchases, are deeply correlated when we split investors geographically. That correlates with the findings of Zhou & Lai (2009) who state that herding measures may differ in stocks according to geographic regions and classification of industries. Stavroyiannis & Babalos (2013) conducted an extremely relevant research project by investigating the existence of herding behaviour on the major European Stock Exchange Indexes. Indeed they gathered daily data during a period from the 15th of April 2005 to the 31st of December 2012, and the results indicated that herding behaviour can be strongly identified in the South-European countries during the 2008 crisis period. When times are considered as ‘normal periods’, models, mainly the rational asset pricing one, show that the distribution in cross-sectional returns is going to increase in the same trend as the absolute value of the returns on the markets, because investors are usually trading with their diverse private information. Nonetheless, they also found that during

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