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Time Series in Economics and Finance

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers decomposition methods, autocorrelation methods for univariate time series, volatility and duration modeling for financial time series, and multivariate time series methods, such as cointegration and recursive state space modeling. It also includes numerous practical examples to demonstrate the theory using real-world data, as well as exercises at the end of each chapter to aid understanding. This book serves as a reference text for researchers, students and practitioners interested in time series, and can also be used for university courses on econometrics or computational finance.


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28 Şubat 2018 ROBERT H BORK 1 Ocak 2017 WADE H MCCREE Additional Contributors 11 Ağustos 2020 3 Ocak 2017 ERWIN N GRISWOLD 15 x 0,5 x 22 cm 18,9 x 0,3 x 24,6 cm 18,9 x 0,6 x 24,6 cm Mdpi AG Kolektif 18,9 x 0,4 x 24,6 cm 30 Ekim 2011 18,9 x 0,5 x 24,6 cm 28 Ekim 2011 18,9 x 0,2 x 24,6 cm
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Sürüm ayrıntıları
yazar Tomas Cipra
isbn 13 978-3030463465
Yayımcı Springer; 1st ed. 2020 basım
Boyutlar ve boyutlar 15.6 x 2.39 x 23.39 cm
Tarafından yayınlandı Time Series in Economics and Finance 11 Ağustos 2020

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