I have a coy of Haskell Financial Data Modelling, which someone else had asked about.
I don't want to be too negative, but I didn't get too much out of this book. It moves pretty slow when explaining both Haskell and the financial content. To be fair, this might be considered an advantage if you are new to both.
It also doesn't really give you alot of "actionable code" that you can drop into an existing system. Each chapter is an introduction to large subjects, so I guess by definition the author can't dive very deeply.
In contrast the posted book seems to cover a bit more ground and seems to include on graphing and practical applications of black scholes, which is nice.
I would be more forthright - the Haskell book was a travesty that never should have been published and I wouldn't want to inflict it on anyone (I have experience with all three of Haskell, quant finance and modelling & analytics and I am confident in saying that the Haskell book is useless).
I have a coy of Haskell Financial Data Modelling, which someone else had asked about.
I don't want to be too negative, but I didn't get too much out of this book. It moves pretty slow when explaining both Haskell and the financial content. To be fair, this might be considered an advantage if you are new to both.
It also doesn't really give you alot of "actionable code" that you can drop into an existing system. Each chapter is an introduction to large subjects, so I guess by definition the author can't dive very deeply.
In contrast the posted book seems to cover a bit more ground and seems to include on graphing and practical applications of black scholes, which is nice.
I'll post a review once I've read it.