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  • Format: ePub

This text presents statistical methods for financial investment analysis. Providing the connection between elementary statistics courses and quantitative finance courses, the book helps both existing and future quants improve their data analysis skills and better understand the modeling process. It incorporates both applied statistics and mathematical statistics and requires no prior background in finance. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance.

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  • Größe: 12.75MB
Produktbeschreibung
This text presents statistical methods for financial investment analysis. Providing the connection between elementary statistics courses and quantitative finance courses, the book helps both existing and future quants improve their data analysis skills and better understand the modeling process. It incorporates both applied statistics and mathematical statistics and requires no prior background in finance. The author introduces regression analysis, time series analysis, and multivariate analysis step by step using models and methods from finance.


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Autorenporträt
Stanley L. Sclove is a professor of statistics in the Department of Information and Decision Sciences of the College of Business Administration at the University of Illinois at Chicago (UIC). His areas of specialization within statistics include multivariate statistical analysis, cluster analysis, time series analysis, and model selection criteria. Dr. Sclove's research interests include time series segmentation and regime switching via Markov models. He is an officer of the Classification Society and the Section of Risk Analysis of the American Statistical Association.