The Kalman Filter in Finance (Advanced Studies in Theoretical and Applied Econometrics)

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9789048146307: The Kalman Filter in Finance (Advanced Studies in Theoretical and Applied Econometrics)
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A non-technical introduction to the question of modeling with time-varying parameters, using the beta coefficient from Financial Economics as the main example. After a brief introduction to this coefficient for those not versed in finance, the book presents a number of rather well known tests for constant coefficients and then performs these tests on data from the Stockholm Exchange. The Kalman filter is then introduced and a simple example is used to demonstrate the power of the filter. The filter is then used to estimate the market model with time-varying betas. The book concludes with further examples of how the Kalman filter may be used in estimation models used in analyzing other aspects of finance. Since both the programs and the data used in the book are available for downloading, the book is especially valuable for students and other researchers interested in learning the art of modeling with time varying coefficients.

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C. Wells
Published by Springer, Netherlands (2010)
ISBN 10: 9048146305 ISBN 13: 9789048146307
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Book Description Springer, Netherlands, 2010. Paperback. Condition: New. Language: English. Brand new Book. A non-technical introduction to the question of modeling with time-varying parameters, using the beta coefficient from Financial Economics as the main example. After a brief introduction to this coefficient for those not versed in finance, the book presents a number of rather well known tests for constant coefficients and then performs these tests on data from the Stockholm Exchange. The Kalman filter is then introduced and a simple example is used to demonstrate the power of the filter. The filter is then used to estimate the market model with time-varying betas. The book concludes with further examples of how the Kalman filter may be used in estimation models used in analyzing other aspects of finance. Since both the programs and the data used in the book are available for downloading, the book is especially valuable for students and other researchers interested in learning the art of modeling with time varying coefficients. Softcover reprint of hardcover 1st ed. 1996. Seller Inventory # AAV9789048146307

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C. Wells
Published by Springer, Netherlands (2010)
ISBN 10: 9048146305 ISBN 13: 9789048146307
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Book Description Springer, Netherlands, 2010. Paperback. Condition: New. Language: English. Brand new Book. A non-technical introduction to the question of modeling with time-varying parameters, using the beta coefficient from Financial Economics as the main example. After a brief introduction to this coefficient for those not versed in finance, the book presents a number of rather well known tests for constant coefficients and then performs these tests on data from the Stockholm Exchange. The Kalman filter is then introduced and a simple example is used to demonstrate the power of the filter. The filter is then used to estimate the market model with time-varying betas. The book concludes with further examples of how the Kalman filter may be used in estimation models used in analyzing other aspects of finance. Since both the programs and the data used in the book are available for downloading, the book is especially valuable for students and other researchers interested in learning the art of modeling with time varying coefficients. Softcover reprint of hardcover 1st ed. 1996. Seller Inventory # LIE9789048146307

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C. Wells
Published by Springer, Netherlands (2010)
ISBN 10: 9048146305 ISBN 13: 9789048146307
New Paperback Quantity Available: 10
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Book Description Springer, Netherlands, 2010. Paperback. Condition: New. Language: English. Brand new Book. A non-technical introduction to the question of modeling with time-varying parameters, using the beta coefficient from Financial Economics as the main example. After a brief introduction to this coefficient for those not versed in finance, the book presents a number of rather well known tests for constant coefficients and then performs these tests on data from the Stockholm Exchange. The Kalman filter is then introduced and a simple example is used to demonstrate the power of the filter. The filter is then used to estimate the market model with time-varying betas. The book concludes with further examples of how the Kalman filter may be used in estimation models used in analyzing other aspects of finance. Since both the programs and the data used in the book are available for downloading, the book is especially valuable for students and other researchers interested in learning the art of modeling with time varying coefficients. Softcover reprint of hardcover 1st ed. 1996. Seller Inventory # AAV9789048146307

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