1 resultado para Employee stock options
em Aston University Research Archive
Filtro por publicador
- JISC Information Environment Repository (2)
- Aberystwyth University Repository - Reino Unido (1)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (2)
- Aquatic Commons (153)
- Archive of European Integration (11)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (17)
- Aston University Research Archive (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (6)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (1)
- Boston University Digital Common (4)
- Brock University, Canada (32)
- Cambridge University Engineering Department Publications Database (41)
- CentAUR: Central Archive University of Reading - UK (127)
- Center for Jewish History Digital Collections (25)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (6)
- Cochin University of Science & Technology (CUSAT), India (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Cornell: DigitalCommons@ILR (1)
- Dalarna University College Electronic Archive (7)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (4)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (2)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (3)
- Duke University (3)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (48)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (1)
- Greenwich Academic Literature Archive - UK (9)
- Helda - Digital Repository of University of Helsinki (52)
- Indian Institute of Science - Bangalore - Índia (14)
- Instituto Politécnico do Porto, Portugal (4)
- Massachusetts Institute of Technology (3)
- Ministerio de Cultura, Spain (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (6)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (79)
- Queensland University of Technology - ePrints Archive (145)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (8)
- REPOSITORIO DIGITAL IMARPE - INSTITUTO DEL MAR DEL PERÚ, Peru (24)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositorio Institucional de la Universidad Pública de Navarra - Espanha (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (22)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- School of Medicine, Washington University, United States (3)
- South Carolina State Documents Depository (1)
- Universidad del Rosario, Colombia (11)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (4)
- Université de Montréal, Canada (29)
- University of Connecticut - USA (2)
- University of Michigan (6)
- University of Queensland eSpace - Australia (5)
- University of Southampton, United Kingdom (6)
- WestminsterResearch - UK (6)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
We estimate the shape of the distribution of stock prices using data from options on the underlying asset, and test whether this distribution is distorted in a systematic manner each time a particular news event occurs. In particular we look at the response of the FTSE100 index to market wide announcements of key macroeconomic indicators and policy variables. We show that the whole distribution of stock prices can be distorted on an event day. The shift in distributional shape happens whether the event is characterized as an announcement occurrence or as a measured surprise. We find that larger surprises have proportionately greater impact, and that higher moments are more sensitive to events however characterised.