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Analysis of financial time series /

By: Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: Hoboken, N.J. : Wiley, 2005.Edition: 2nd edDescription: xxi, 605 pISBN:
  • 9780471690740 (cloth)
  • 0471690740 (cloth)
Subject(s): DDC classification:
  • 332.01'51955 TSA
LOC classification:
  • HA30.3 T76 2005
Online resources: Summary: Provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data. This latest edition continues to emphasize empirical financial data and focuses on real-world examples.
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Item type Current library Collection Call number Copy number Status Date due Barcode
Monograph & others Monograph & others CBN ENUGU BRANCH LIBRARY General Stacks Non-fiction 332.01'51955 TSA (Browse shelf(Opens below)) c. 1 Available 31008100625298
Monograph & others Monograph & others CBN HQ Library General Stacks Non-fiction 332.01'51955 TSA (Browse shelf(Opens below)) c.1 Available 31008100071196
Monograph & others Monograph & others CBN HQ Library General Stacks Non-fiction 332.01'51955 TSA (Browse shelf(Opens below)) c.2 Available 31008100071204
Monograph & others Monograph & others CBN IBADAN BRANCH LIBRARY General Stacks 332.01'51955 TSA (Browse shelf(Opens below)) Available 31008100735196
Monograph & others Monograph & others CBN KANO BRANCH LIBRARY General Stacks Non-fiction 332.01'51955 TSA (Browse shelf(Opens below)) c.1 Available 31008100654975
Monograph & others Monograph & others CBN LAGOS LAISON OFFICE LIBRARY General Stacks 332.01'51955 TSA (Browse shelf(Opens below)) Available 31008100693064
Monograph & others Monograph & others CBN LAGOS LEARNING CENTRE LIBRARY General Stacks Non-fiction 332.01'51955 TSA (Browse shelf(Opens below)) c.1 Available 31008101247852

"Wiley-Interscience."

Includes bibliographical references and index.

Provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data. This latest edition continues to emphasize empirical financial data and focuses on real-world examples.

oif 26/10/15

Loan

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