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Modeling the Stock Price Volatility

Using Asymmetry GARCH and Ann-Asymmetry GARCH Models

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  • 92 Seiten
  • 4 Lesestunden

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The book explores the critical role of time series data modeling in a dynamic environment, emphasizing the integration of machine learning techniques within statistics. It highlights the use of Artificial Neural Networks, which can replicate human adaptability, in modeling both linear and non-linear time series data. A significant focus is placed on their application in economics, particularly in understanding and predicting Stock Price Volatility, showcasing the intersection of advanced statistical methods and financial analysis.

Buchkauf

Modeling the Stock Price Volatility, Henry Njagi, Anthony Waititu, Anthony Wanjoya

Sprache
Erscheinungsdatum
2019
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(Paperback)
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