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A course on statistics for finance / Stanley L. Sclove

By: Material type: TextTextPublication details: Boca Raton, Fla. ; London : CRC Press, c2013.Description: xxvii, 251 p. : ill. ; 24 cmISBN:
  • 9781439892541
  • 1439892547 (hbk.)
  • 1439892555 (ebook)
  • 9781439892558 (ebook)
Subject(s): DDC classification:
  • 332.015195
Online resources: Summary: Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.
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Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 332.015195 SC CO (Browse shelf(Opens below)) Available T0027135

Includes bibliographical references and index.

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics, including descriptive statistics, kinds of variables, and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models, such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses, this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

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