Publication: Herramienta de soporte a la decisión : influencia de las noticias financieras en Bolsa
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2016-03-01
Defense date
2016-01
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Abstract
Actualmente se procesa un gran volumen de información. La información siempre
ha aportado un valor añadido y es clave en la toma de decisiones.
Basandonos en dos aspectos primordiales de la información, la fidelidad de la
información obtenida y su correcta interpretación, podemos llegar a prever con cierta
aproximación cualquier fenómeno. Por ejemplo, podemos saber con cierta exactitud al
lanzar una moneda al aire, si saldrá cara o cruz. Esto es posible si disponemos de toda la
información que influya en este fenómeno (potencia de lanzamiento, dimensiones y peso
de la moneda, parámetros ambientales, gravedad, entre otros).
Las empresas y grandes inversores siempre han intentado encontrar un patrón o
síntomas que puedan ‘avisar’ o prever el comportamiento de la economía y los mercados
de valores. Para ello se realizan estudios sobre el comportamiento histórico que puedan
dar una cierta aproximación. Hoy en día con la gran cantidad de información que
disponemos, este proceso es más complejo, pero también más fiable.
La casualidad no se puede considerar un factor clave en operaciones de grandes
cantidades de dinero. Este proyecto busca conocer en qué medida impacta la gran
cantidad de información que disponemos en los mercados financieros y ayudar a
pequeños usuarios a poder realizar inversiones basándose en recomendaciones
automáticas.
Currently a large volume of information is processed. Information has always brought added value and is key in decision-making. Basing on two key aspects of the information (the accuracy of the information obtained and its proper interpretation) we can foresee any phenomenon with some approximation. For example, we may know with some accuracy by throwing a coin, if it will be heads or tails. This is possible if we have all the information to influence this phenomenon (launch power, size and weight of the coin, environmental parameters, gravity, etc.). Companies and large investors have always tried to find a pattern or symptoms that might 'warn' or predict the behavior of the economy and the stock markets. In this sense, researches on the historical behavior that may give some approximation are performed. Today with the wealth of information we have, this process is more complex, but also more reliable. The accident can not be considered a key factor in operations of large amounts of money. This project seeks to understand to what extent the wealth of information that we have impacts on financial markets and help small users to make investments based on automatic recommendations.
Currently a large volume of information is processed. Information has always brought added value and is key in decision-making. Basing on two key aspects of the information (the accuracy of the information obtained and its proper interpretation) we can foresee any phenomenon with some approximation. For example, we may know with some accuracy by throwing a coin, if it will be heads or tails. This is possible if we have all the information to influence this phenomenon (launch power, size and weight of the coin, environmental parameters, gravity, etc.). Companies and large investors have always tried to find a pattern or symptoms that might 'warn' or predict the behavior of the economy and the stock markets. In this sense, researches on the historical behavior that may give some approximation are performed. Today with the wealth of information we have, this process is more complex, but also more reliable. The accident can not be considered a key factor in operations of large amounts of money. This project seeks to understand to what extent the wealth of information that we have impacts on financial markets and help small users to make investments based on automatic recommendations.
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Keywords
Mercados financieros, Inversiones, Proceso de datos