Financial Risk Modeling And Portfolio Optimization With R

Applied Probabilistic Calculus for Assets Allocation and Portfolio Optimization in Financial Engineering Using R

Bertram K. Chan, "Applied Probabilistic Calculus for Assets Allocation and Portfolio Optimization in Financial Engineering Using R"
English | ISBN: 1119387612 | 2017 | 536 pages | PDF | 14 MB

Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R  eBooks & eLearning

Posted by Jeembo at Sept. 8, 2018
Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R

Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R by Bertram K. C. Chan
English | 2017 | ISBN: 1119387612 | 536 Pages | PDF | 28.4 MB

Applied Probabilistic Calculus for Financial Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems.

Python for Finance: Investment Fundamentals & Data Analytics  eBooks & eLearning

Posted by lucky_aut at Dec. 13, 2024
Python for Finance: Investment Fundamentals & Data Analytics

Python for Finance: Investment Fundamentals & Data Analytics
Last updated 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.98 GB | Duration: 8h 43m

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training

Python for Finance: Investment Fundamentals & Data Analytics  eBooks & eLearning

Posted by lucky_aut at Aug. 3, 2023
Python for Finance: Investment Fundamentals & Data Analytics

Python for Finance: Investment Fundamentals & Data Analytics
Last updated 7/2023
Duration: 8h 45m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.43 GB
Genre: eLearning | Language: English

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
R Advanced: Advanced Techniques for Finance Pro's: The comprehensive guide to R progarmming in Finance

R Advanced: Advanced Techniques for Finance Pro's: The comprehensive guide to R progarmming in Finance (The Finance Pro Programming Trifecta Book 1) by Hayden Van Der Post
English | October 19, 2023 | ISBN: N/A | ASIN: B0CLH1P3ZZ | 297 pages | EPUB | 2.05 Mb

Financial Signal Processing and Machine Learning  eBooks & eLearning

Posted by ksveta6 at Jan. 12, 2017
Financial Signal Processing and Machine Learning

Financial Signal Processing and Machine Learning (Wiley - IEEE) by Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry M. Malioutov
2016 | ISBN: 1118745671 | English | 320 pages | PDF/EPUB | 4 MB/34 MB

Financial Signal Processing and Machine Learning (Repost)  eBooks & eLearning

Posted by step778 at July 26, 2018
Financial Signal Processing and Machine Learning (Repost)

Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry M. Malioutov, "Financial Signal Processing and Machine Learning"
2016 | pages: 314 | ISBN: 1118745671 | PDF | 4,2 mb

Financial Signal Processing and Machine Learning (repost)  eBooks & eLearning

Posted by interes at Feb. 9, 2019
Financial Signal Processing and Machine Learning (repost)

Financial Signal Processing and Machine Learning by Ali N. Akansu and Sanjeev R. Kulkarni
English | 2016 | ISBN: 1118745671 | 320 pages | EPUB | 34 MB
Advanced Analytical Methods for Climate Risk and ESG Risk Management: A Concrete Approach to Modeling

Advanced Analytical Methods for Climate Risk and ESG Risk Management: A Concrete Approach to Modeling (The Wiley Finance Series) by Jorge R. Sobehart
English | August 19, 2024 | ISBN: 139422009X | 496 pages | MOBI | 14 Mb

Coursera - Introduction to Computational Finance and Financial Econometrics  eBooks & eLearning

Posted by ParRus at June 14, 2019
Coursera - Introduction to Computational Finance and Financial Econometrics

Coursera - Introduction to Computational Finance and Financial Econometrics
WEBRip | English | MP4 + Project files | 960 x 540 | AVC ~154 kbps | 30.919 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 25:23:27 | 3.86 GB
Genre: eLearning Video / Finance, Analysis, Mathematics, Statistics

Learn mathematical, programming and statistical tools used in the real world analysis and modeling of financial data. Apply these tools to model asset returns, measure risk, and construct optimized portfolios using the open source R programming language and Microsoft Excel.