Statistical Arbitrage and Algorithmic Trading : overview and applications

In this PhD thesis I present the most successful approaches in the exciting world of quantitative investing or algorithmic trading, introducing new concepts and applications to achieve superior risk adjusted returns. Two important aspects of quantitative trading will be covered: statistical arbitrag...

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Detalles Bibliográficos
Autor: Noguer Alonso, Miquel
Tipo de recurso: tesis doctoral
Fecha de publicación:2010
País:España
Institución:Universidad Nacional de Educación a Distancia
Repositorio:e-spacio. Repositorio Institucional de la UNED
Idioma:inglés
OAI Identifier:oai:e-spacio.uned.es:20.500.14468/18478
Acceso en línea:https://hdl.handle.net/20.500.14468/18478
Access Level:acceso abierto
Palabra clave:algorithmic trading strategies
statistical arbitrage
Descripción
Sumario:In this PhD thesis I present the most successful approaches in the exciting world of quantitative investing or algorithmic trading, introducing new concepts and applications to achieve superior risk adjusted returns. Two important aspects of quantitative trading will be covered: statistical arbitrage and algorithmic trading. In general both disciplines try to find exploitable regularities, trends, anomalies in the financial data ( alone or using factors )