||2 of 2 people found the following review helpful.| Decent book. But could be better|By quant|I would recommend this book only for those who have a decent statistics background. Many of the chapters are very poorly explained (cointegration, and the chapters on time series modeling). If it wasn't for excessive googling and using other books on time series, I could follow this book. Still, it's a useful book to have. But I w|||From the reviews:“Book under review is aimed at Master’s students in a financial engineering program and spans the gap between some very basic finance concepts and some very advanced statistical concepts … . The book is evidently intended
Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics ...
[PDF.cx81] Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics) Rating: 4.66 (750 Votes)
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You can specify the type of files you want, for your gadget.Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics) | David Ruppert. A good, fresh read, highly recommended.
