Rabu, 04 Oktober 2017

Ebook Free , by Marcelo S. Perlin

Ebook Free , by Marcelo S. Perlin

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, by Marcelo S. Perlin

, by Marcelo S. Perlin


, by Marcelo S. Perlin


Ebook Free , by Marcelo S. Perlin

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, by Marcelo S. Perlin

Product details

File Size: 10847 KB

Print Length: 399 pages

Page Numbers Source ISBN: 8592243556

Publication Date: May 1, 2017

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B071DTSCPS

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Amazon Best Sellers Rank:

#12,804 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

I have read a few other books on Financial analytics with R, where more often than not, the code does not work, or, more importantly, the code has errors! This text, however, has code that works, as written, and, I found no errors. Having said as much, the content of the book is also excellent. The author covers the basics of R, then the basics of econometrics, then demonstrates how to use R to do econometrics. If you are familiar with both disciplines, R and Econometrics, you can follow along with the author easily enough. If you lack knowledge in either discipline, perhaps you may want to read and learn some before jumping in here. The text does not delve deeply into R or econometrics; just enough and then some to analyze and process financial data. Highly recommended.

After getting stuck and being confused, I decided to look somewhere else. Gave up on decrypting unusual writing style. It was taking way too much time to get sense out of this book. I need something written with well-explained language.

I emailed the author to thank him for writing this book and combining the often overlooked but extremely important concepts of modularity (code) and reproducibility (research) to readers. Great if you have hit a plateau learning R.

The book is of 300 pages: first half (150 pages) is on R basics, then the second half is on R for Finance Analysis.

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