Open Access
The information environment, informed trading and volatility
(Routledge, 2017) Blasco de las Heras, Natividad; Corredor Casado, María Pilar; Gestión de Empresas; Enpresen Kudeaketa
The relation between informed trading and volatility is analyzed using the change in the proportion of informed transactions calculated through the probability of informed trading variable. The analysis relates to the Spanish market during 1997–2010, given that the Spanish market covers a very diverse range of listed companies. Some companies are comparable to companies listed on U.S. markets while others are smaller in size and have a lower trading volume and inferior quality of information. The methodology is based on a modification of the model proposed by Avramov, Chordia, and Goyal [2006]. The authors’ proposal incorporates the change in the proportion of informed transactions, calculated with intraday data, into the volatility model. The results are also presented using a conditional volatility model in which the change in the proportion of informed transactions is incorporated. These results attest to the influence of informed trading as a price-stabilizing factor in heavily traded and highly capitalized stocks (familiar stocks). Informed trading leads to a marked decrease in volatility for these particular stocks both in periods of calm and crisis.
Open Access
Analysts herding: when does sentiment matter?
(Routledge, 2018) Blasco de las Heras, Natividad; Corredor Casado, María Pilar; Ferrer Zubiate, Elena; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE; Gestión de Empresas
Herding among analysts emerges when analysts give priority to their peers’ opinions instead of their own beliefs or information. Some circumstances may enhance or restrain this type of behaviour. We postulate that market sentiment is one of them. This article analyses the effect that investor sentiment may have on analysts’ herding behaviour in the U.K. Our results suggest that ‘easy situations’ such as analysing easy-to-value securities and releasing optimistic information at times of high market sentiment clearly reduce herding practices, whereas herding clearly increases in difficult situations when analysts have to release negative information at moments of high investor sentiment.
Open Access
Intentional herding in stock markets: an alternative approach in an international context
(Edward Elgar, 2010) Blasco de las Heras, Natividad; Corredor Casado, María Pilar; Ferreruela Garcés, Sandra; Gestión de Empresas; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE; Gobierno de Navarra / Nafarroako Gobernua
One of the issues of greatest concern in the world of finance is trying to understand how investors make decisions. The classic theoretical explanations are based on conditions of investor rationality and the perfection of markets, and the use of information available in the market as a decisive tool. In recent years the branch of behavioural finance has emerged strongly in the field to try to expand this vision of investor behaviour. Factors associated with the psychological and sociological behaviour of individuals have been introduced as significant elements that go some way to explain investor decisions. Thaler (1991) and Shefrin (2000), among others, have incorporated an emotional component into the classic models considering both visions as compatible and complementary. A survey of the history and contributions in this field of finance in recent years can be found in Sewell (2007).

Corredor Casado, María Pilar

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