840 search results for "financial"

R in Financial Services: Challenges and Opportunities

May 16, 2017
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At the New York R Conference earlier this year, my colleague Lixun Zhang gave a presentation on the challenges and opportunites financial services companies encounter when using R. In the talk, he shares some lessons learned while working with an couple of international banks that have been using SAS, but are transitioning workloads to R. The talk also includes...

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tidyquant: New Tools for Performing Financial Analysis within the Tidy Ecosystem

tidyquant: New Tools for Performing Financial Analysis within the Tidy Ecosystem

In advance of upcoming Business Science talks on tidyquant at R/Finance and EARL San Francisco, we are releasing a technical paper entitled “New Tools For Performing Financial Analysis within the ‘Tidy’ Ecosystem”. The technical paper covers an...

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Financial time series forecasting – an easy approach

March 21, 2017
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Financial time series forecasting – an easy approach

Financial time series analysis and their forecasting have an history of remarkable contributions. It is then quite hard for the beginner to get oriented and capitalize from reading such scientific literature as it requires a solid understanding of basic statistics, a detailed study of the ground basis of time series analysis tools and the knowledge Related Post

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Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

Speed Up Your Code Part 2: Parallel Processing Financial Data with multidplyr + tidyquant

Since my initial post on parallel processing with multidplyr, there have been some recent changes in the tidy eco-system: namely the package tidyquant, which brings financial analysis to the tidyverse. The tidyquant package drastically increase the amo...

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tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

January 7, 2017
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tidyquant 0.2.0: Added Functionality for Financial Engineers and Business Analysts

tidyquant, version 0.2.0, is now available on CRAN. If your not already familiar, tidyquant integrates the best quantitative resources for collecting and analyzing quantitative data, xts, zoo, quantmod and TTR, with the tidy data infrastructure of the ...

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How to download and organize financial data from yahoo finance for several tickers

January 2, 2017
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How to download and organize financial data from yahoo finance for several tickers

Using package BatchGetSymbols - One of the great things of working in finance is that financial datasets are freely available from sources such as Google and Yahoo Finance. This is an excelent feature for building up to date conte...

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tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

December 31, 2016
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tidyquant: Bringing Quantitative Financial Analysis to the tidyverse

My new package, tidyquant, is now available on CRAN. tidyquant integrates the best quantitative resources for collecting and analyzing quantitative data, xts, quantmod and TTR, with the tidy data infrastructure of the tidyverse allowing for seamless in...

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SAS to R Migration for Financial Data: Lessons and Examples

November 14, 2016
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SAS to R Migration for Financial Data: Lessons and Examples

by Lixun Zhang (Data Scientist), Ye Xing (Senior Data Scientist) and Tao Wu (Principal Data Scientist Manager), all at Microsoft Editor's Note: To learn more about migrating from SAS to R, there will be a live webinar presented by Lixun and Ye tomorrow (Tuesday, November 15). Register to attend the webinar here. R has been gaining in popularity among...

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Financial Trading in R with Ilya Kipnis

October 19, 2016
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Financial Trading in R with Ilya Kipnis

Our new Financial Trading in R course is here! Learn from Ilya Kipnis, a professional quantitative analyst and co-author of Introduction to Quantitative Trading With R.  Master the basics of financial trading, and learn how to use quantstrat to build ...

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A book list of Learning financial data analysis using R #Rstats #Finance

September 28, 2016
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A book list of Learning financial data analysis using R #Rstats #Finance

As R is more and more popular in the industry as well as in the academics for analyzing financial data. For people unfamiliar with R, this post suggests some books for learning financial data analysis using R. From our teaching and learning R experien...

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