Modeling the Stock Price Volatility - Njagi, Henry;Waititu, Anthony;Wanjoya, Anthony
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Modeling of the time series data is very essential for a dynamic world. The field of Statistics has become very applicable with the use of machine learning techniques when modeling both linear and non-linear time series data. Artificial Neural Network, a machine learning, has attracted an interest in the field of statistics by its ability to mimic the behavior of human beings in adapting to immediate environment. It has been used to develop its characteristics in the field of economy to model the Stock Price Volatility.

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Produktbeschreibung
Modeling of the time series data is very essential for a dynamic world. The field of Statistics has become very applicable with the use of machine learning techniques when modeling both linear and non-linear time series data. Artificial Neural Network, a machine learning, has attracted an interest in the field of statistics by its ability to mimic the behavior of human beings in adapting to immediate environment. It has been used to develop its characteristics in the field of economy to model the Stock Price Volatility.
Autorenporträt
El Sr. Henry Njagi tiene un máster en Estadística Aplicada y una licenciatura en Matemáticas (Estadística) e Informática por la Universidad Jomo Kenyatta de Agricultura y Tecnología, en Nairobi (Kenia). Ha trabajado como profesor asistente, supervisor de proyectos académicos y formador en el campo de la estadística.