Introduction to R for Quantitative Finance

I really enjoyed this book. After working through the problems several times I realized how powerful R was and how many tools that are at my disposal. I think the author gives a great spread of very common financial calculations with repeatable examples. I am not am professional in any way but really felt it was good for someone who had a basic knowledge of quantitative finance and was looking to see how to apply that in R.Overall I think i got a great deal out of this book and it gives me much more confidence in working with R. Espeically for people just getting into either quant finance or working in RUsing the kindle version, i did have some annoying problems with the code. Because of 2 things. First off there are + signs on every line which is how its outputted in R, which you must remove. Also the kindle cut/paste function always gives the copyright and location. Which you have to delete out of every time you cut and paste. Its not really the authors fault just a quirk of the kindle cut and paste system. I did not subtract a star for this because of the kindle interface, however i can see where someone else would.

The price seduces you and you click on buy. And start trying to come over your loss 30 minutes later. Lesson : Any R book which adds value beyond what is freely available on the internet is going to cost you upwards of USD 25. Sad, but true.

More for academics, not for use in actual investing.The portfolio optimization chapter is good.The text is refreshingly straightforward.On the other hand, not all of the the code is available for download.

This book claims to be a book on R in finance. It provides very little information on either R or finance.I'll use one example to illustrate the faults of this book. The authors give an example of cointegration and hedging of airplane fuel with options on heating oil. The authors state that they assume that you have a background in finance. Fine. I've done this kind of hedging, but it was a year ago. Having a brief discussion of the relevant equations would be useful. This would provide a context for the R code.As far as the R code goes, all the authors really give are some function calls without much in the way of context. You would get almost as much reading the R on-line documentation.This book is of no use to anyone who knows something about modern quantitative finance and it's of no use when it comes to learning to use R for finance. I short, the book is of no use at all.Packt Publishing seems to specialize in short books that are at either poorly written or at a ridiculously introductory level. I also bought their Machine Learning with R. This could be retitled Machine Learning with R for High School students (and not High School students who are taking AP Calculus or Computer Science).

Is better to read the different web forums that this book. Is just a simple very light introduction to R...

Good book.

I have a lot of experience with R, but am just starting to get into quantitative finance, as such, I found it very difficult to comprehend a lot of the chapters. Typically each page would have at least 1 or 2 terms that I would end up having to google. So you can imagine that the going was pretty slow. But the book is designed for people with some finance background.Even though I didn't get as much as I was hoping to initially, I think it's going to be a very handy resource for me to have. When I'm going to do an analysis covered by this book, I'm going to look at the examples as a primer to get going on the task. One of the hardest parts about R is finding the right function or package for a specific task. This book lays everything out there for me. And even if I'm going alter the analysis somehow, it's a huge time saver to have all the main functions in one place with cool examples.I think this book is perfect for someone who is familiar with finance and wants to switch languages to R, or maybe for finance students who don't know a statistical language (with maybe another resource for the basics of R). I'm going to take a free coursera course in finance and then come back to this book. Once I have more background, the book should be a good primer for new ideas for me.