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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