Corredor Casado, María Pilar
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Corredor Casado
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María Pilar
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Gestión de Empresas
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INARBE. Institute for Advanced Research in Business and Economics
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Publication Open Access Market sentiment: a key factor of investors' imitative behaviour(Wiley, 2012) Blasco de las Heras, Natividad; Corredor Casado, María Pilar; Ferreruela Garcés, Sandra; Gestión de Empresas; Enpresen Kudeaketa; Gobierno de Navarra / Nafarroako GobernuaThe aim of this paper is to explore herding behavior among investors in order to determine its rational and emotional component factors and identify relationships among them. We apply causality tests to evaluate the impact of return and market sentiment on herding intensity. The herding intensity is quantified using the measure developed by Patterson and Sharma (2006). The research was conducted during the period 1997-2003 in the Spanish stock market, where the presence of herding has been confirmed. The results reveal that the herding intensity depends on past returns and sentiment or subjective assessments and confirm the presence of both a rational and an emotional factor.Publication Open Access Investor sentiment effect in stock markets: stock characteristics or country-specific factors?(Elsevier, 2013) Corredor Casado, María Pilar; Ferrer Zubiate, Elena; Santamaría Aquilué, Rafael; Gestión de Empresas; Enpresen KudeaketaThis paper analyzes the investor sentiment effect in four key European stock markets: France, Germany, Spain and the UK. The findings show that sentiment has a significant influence on returns, varying in intensity across markets. The variation appears to involve both stock characteristics and cross-country cultural or institutional differences. The results also show sensitivity to the choice of sentiment proxy.Publication Open Access Does herding affect volatility? Implications for the Spanish stock market(Taylor & Francis, 2012) Blasco de las Heras, Natividad; Corredor Casado, María Pilar; Ferreruela Garcés, Sandra; Gestión de Empresas; Enpresen KudeaketaAccording to rational expectation models, uninformed or liquidity trading make market price volatility rise. This paper sets out to analyze the impact of herding, which may be interpreted as one of the components of uninformed trading, on the volatility of the Spanish stock market. Herding is examined at the intraday level, considered the most reliable sampling frequency for detecting this type of investor behavior, and measured using the Patterson and Sharma (2006) herding intensity measure. Different volatility measures (historical, realized and implied) are employed. The results confirm that herding has a direct linear impact on volatility for all of the volatility measures considered although the corresponding intensity is not always the same. In fact, herding variables seem to be useful in volatility forecasting and therefore in decision making when volatility is considered a key factor.