This book provides a comprehensive account of stochastic filtering as a modeling tool in finance and economics. It aims to present this very important tool with a view to making it more popular among researchers in the disciplines of finance and economics. It is not intended to give a complete mathematical treatment of different stochastic filtering approaches, but rather to describe them in simple terms and illustrate their application with real historical data for problems normally encountered in these disciplines. Beyond laying out the steps to be implemented, the steps are demonstrated in the context of different market segments. Although no prior knowledge in this area is required, the reader is expected to have knowledge of probability theory as well as a general mathematical aptitude.Its simple presentation of complex algorithms required to solve modeling problems in increasingly sophisticated financial markets makes this book particularly valuable as a reference for graduate students and researchers interested in the field. Furthermore, it analyses the model estimation results in the context of the market and contrasts these with contemporary research publications. It is also suitable for use as a text for graduate level courses on stochastic modeling.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
This book provides a comprehensive account of stochastic filtering as a modeling tool in finance and economics. It aims to present this very important tool with a view to making it more popular among researchers in the disciplines of finance and economics. It is not intended to give a complete mathematical treatment of different stochastic filtering approaches, but rather to describe them in simple terms and illustrate their application with real historical data for problems normally encountered in these disciplines. Beyond laying out the steps to be implemented, the steps are demonstrated in the context of different market segments. Although no prior knowledge in this area is required, the reader is expected to have knowledge of probability theory as well as a general mathematical aptitude.
Its simple presentation of complex algorithms required to solve modeling problems in increasingly sophisticated financial markets makes this book particularly valuable as a reference for graduate students and researchers interested in the field. Furthermore, it analyses the model estimation results in the context of the market and contrasts these with contemporary research publications. It is also suitable for use as a text for graduate level courses on stochastic modeling.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Mr Pickwick's Fine Old Books, Katoomba, NSW, Australia
Hardcover (Printed Boards). Condizione: As New. Condizione sovraccoperta: No Dust Jacket. First Edition. Size: Octavo (standard book size). 340 pages. Text body is clean, and free from previous owner annotation, underlining and highlighting. Binding is tight, covers and spine fully intact. No foxing in this copy. All edges clean, neat and free of foxing. Quantity Available: 1. Shipped Weight: Under 1 kilogram. Category: Economics; Mathematics. ISBN: . ISBN/EAN: 9789814304856. All our pictures shown here are of the actual item, not stock photos. Inventory No: 34394. For further info on this title, click on the "Contact Seller" button within this listing. We will try to reply within 24 hours. Otherwise you can order right now (inclusive of shipping options) from the "Add to Basket" button to the right. Codice articolo 34394
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo CX-9789814304856
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Da: California Books, Miami, FL, U.S.A.
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Da: moluna, Greven, Germania
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Suitable for graduate level courses on stochastic modeling, this title does not intend to give a complete mathematical treatment of different stochastic filtering approaches, but rather to describe them in simple terms and illustrate their application with . Codice articolo 449943806
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