Corredor Casado, María Pilar
Loading...
Email Address
person.page.identifierURI
Birth Date
Job Title
Last Name
Corredor Casado
First Name
María Pilar
person.page.departamento
Gestión de Empresas
person.page.instituteName
INARBE. Institute for Advanced Research in Business and Economics
ORCID
person.page.observainves
person.page.upna
Name
- Publications
- item.page.relationships.isAdvisorOfPublication
- item.page.relationships.isAdvisorTFEOfPublication
- item.page.relationships.isAuthorMDOfPublication
4 results
Search Results
Now showing 1 - 4 of 4
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.Publication Open Access Can agents sensitive to cultural, organizational and environmental issues avoid herding?(Elsevier, 2017) Blasco de las Heras, Natividad; Corredor Casado, María Pilar; Ferreruela Garcés, Sandra; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE; Gestión de EmpresasOur findings indicate that herding behavior is affected not only by the cultural variables already discussed in the literature but also by other variables associated with organizational and environmental issues such as governance, technology, education and training, business style and conditions, and the development of equity and non-equity markets. Some of these act as catalysts, for example governance and technology. Others may have a corrective effect, such as the development of financial markets, business style, and education and training. If corrective factors are sufficiently developed, intentional herding practices could be reduced in the future.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 Detecting intentional herding: what lies beneath intraday data in the Spanish stock market(Palgrave Macmillan, 2011) Blasco de las Heras, Natividad; Corredor Casado, María Pilar; Ferreruela Garcés, Sandra; Gestión de Empresas; Enpresen KudeaketaThis paper examines the intentional herd behaviour of market participants, using Li´s test to compare the probability distributions of the scaled cross-sectional deviation in returns in the intraday market with the cross-sectional deviation in returns in an “artificially created” market free of intentional herding effects. The analysis is carried out for both the overall market and a sample of the most representative stocks. Additionally, a bootstrap procedure is applied in order to gain a deeper understanding of the differences across the distributions under study. The results show that the Spanish market exhibits a significant intraday herding effect that is not detected using other traditional herding measures when familiar and heavily traded stocks are analysed. Furthermore, it is suggested that intentional herding is likely to be better revealed using intraday data, and that the use of a lower frequency data may obscure results revealing imitative behaviour in the market.