Financial Analytics with R

Financial Analytics with R
Author: Mark J. Bennett
Publisher: Cambridge University Press
Total Pages: 397
Release: 2016-10-06
Genre: Business & Economics
ISBN: 1107150752


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Financial Analytics with R sharpens readers' skills in time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities.


Financial Analytics with R
Language: en
Pages: 397
Authors: Mark J. Bennett
Categories: Business & Economics
Type: BOOK - Published: 2016-10-06 - Publisher: Cambridge University Press

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Financial Analytics with R sharpens readers' skills in time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securiti
An Introduction to Analysis of Financial Data with R
Language: en
Pages: 388
Authors: Ruey S. Tsay
Categories: Business & Economics
Type: BOOK - Published: 2014-08-21 - Publisher: John Wiley & Sons

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A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introductio
Analyzing Financial Data and Implementing Financial Models Using R
Language: en
Pages: 465
Authors: Clifford S. Ang
Categories: Business & Economics
Type: BOOK - Published: 2021-06-23 - Publisher: Springer Nature

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This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. I
Statistics and Data Analysis for Financial Engineering
Language: en
Pages: 736
Authors: David Ruppert
Categories: Business & Economics
Type: BOOK - Published: 2015-04-21 - Publisher: Springer

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The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial enginee
Statistical Analysis of Financial Data in R
Language: en
Pages: 595
Authors: René Carmona
Categories: Business & Economics
Type: BOOK - Published: 2013-12-13 - Publisher: Springer Science & Business Media

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Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This text