Re: Thanks for posting this. If you've read these books, it would be helpful if you posted a 1- or 2-line 'review' or summary of each.

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Re: Thanks for posting this. If you've read these books, it would be helpful if you posted a 1- or 2-line 'review' or summary of each.

Nelson Wong
Hi Steve,


Good idea. Just give me a few days.


Sincerely,


Nelson Wong


________________________________
From: Steve Wisdom <[hidden email]>
Sent: 25 October 2017 16:28
To: [hidden email]
Subject: Thanks for posting this. If you've read these books, it would be helpful if you posted a 1- or 2-line 'review' or summary of each.

Message: 1
Date: Wed, 25 Oct 2017 01:01:15 +0000
From: Nelson Wong <[hidden email]>
To: "[hidden email]" <[hidden email]>
Subject: [R-SIG-Finance] Books on R & Finance
Message-ID:
        <[hidden email]>

Content-Type: text/plain; charset="UTF-8"

Hi,

Just sharing a list of books which I have on R & Business/Finance,
with worked example in R & respective packages, with regard to the
recent discussion on R packages in finance. Later editions may be
available.

  1.  Financial Analytics with R. Building a Laptop Laboratory for
Data Science. Cambridge University Press. 2016.
  2.  Statistics and Data Analysis for Financial Engineering. Springer. 2011.
  3.  Financial Risk Modelling and Portfolio Optimization with R.
Second Edition. Wiley. 2016.
  4.  Business Analytics Using R - A Practical Approach. Apress. 2017.
  5.  Introduction to R for Quantitative Finance. Packt. 2013.
  6.  Mastering R for Quantitative Finance. Packt. 2015.

Sincerely,

Nelson Wong
Malaysia

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Re: Thanks for posting this. If you've read these books, it would be helpful if you posted a 1- or 2-line 'review' or summary of each.

Erol Biceroglu-2
I found the PortfolioAnalytics documentation (vignette's, etc) also very
useful.


Erol Biceroglu
416-275-7970
*LinkedIn <http://ca.linkedin.com/in/erolbiceroglu> | Wordpress
<https://propfoliomanagement.wordpress.com/>*

On Thu, Oct 26, 2017 at 10:35 AM, Nelson Wong <[hidden email]> wrote:

> Hi Steve,
>
>
> Good idea. Just give me a few days.
>
>
> Sincerely,
>
>
> Nelson Wong
>
>
> ________________________________
> From: Steve Wisdom <[hidden email]>
> Sent: 25 October 2017 16:28
> To: [hidden email]
> Subject: Thanks for posting this. If you've read these books, it would be
> helpful if you posted a 1- or 2-line 'review' or summary of each.
>
> Message: 1
> Date: Wed, 25 Oct 2017 01:01:15 +0000
> From: Nelson Wong <[hidden email]>
> To: "[hidden email]" <[hidden email]>
> Subject: [R-SIG-Finance] Books on R & Finance
> Message-ID:
>         <HE1PR10MB007458684498A0DEC73A0969AD440@HE1PR10MB0074.
> EURPRD10.PROD.OUTLOOK.COM>
>
> Content-Type: text/plain; charset="UTF-8"
>
> Hi,
>
> Just sharing a list of books which I have on R & Business/Finance,
> with worked example in R & respective packages, with regard to the
> recent discussion on R packages in finance. Later editions may be
> available.
>
>   1.  Financial Analytics with R. Building a Laptop Laboratory for
> Data Science. Cambridge University Press. 2016.
>   2.  Statistics and Data Analysis for Financial Engineering. Springer.
> 2011.
>   3.  Financial Risk Modelling and Portfolio Optimization with R.
> Second Edition. Wiley. 2016.
>   4.  Business Analytics Using R - A Practical Approach. Apress. 2017.
>   5.  Introduction to R for Quantitative Finance. Packt. 2013.
>   6.  Mastering R for Quantitative Finance. Packt. 2015.
>
> Sincerely,
>
> Nelson Wong
> Malaysia
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-finance
> -- Subscriber-posting only. If you want to post, subscribe first.
> -- Also note that this is not the r-help list where general R questions
> should go.
>

        [[alternative HTML version deleted]]

_______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-finance
-- Subscriber-posting only. If you want to post, subscribe first.
-- Also note that this is not the r-help list where general R questions should go.