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Financial Econometrics, Mathematics and Statistics
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Financial Econometrics, Mathematics and Statistics : Theory, Method and Application

2019 ed.

Book Details

Format Hardback or Cased Book
ISBN-10 1493994271
ISBN-13 9781493994274
Edition 2019 ed.
Publisher Springer-Verlag New York Inc.
Imprint Springer-Verlag New York Inc.
Country of Manufacture US
Country of Publication GB
Publication Date Jun 4th, 2019
Print length 655 Pages
Weight 1,462 grams
Dimensions 18.60 x 26.00 x 4.40 cms
Ksh 32,400.00
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This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research.

This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. 

Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments. 

Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets.  This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.  ​




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