Advanced Finance

Vault Guide to Advanced Finance & Quantitative Interviews  eBooks & eLearning

Posted by alt_f4 at Jan. 23, 2017
Vault Guide to Advanced Finance & Quantitative Interviews

Vault Guide to Advanced Finance & Quantitative Interviews by Jennifer Voitle
English | June 30, 2003 | ISBN: 1581311729 | 301 Pages | PDF | 6 MB

Professional career guide from the Vault Career Library covering bond fundamentals, statistics, derivatives (with detailed Black-Scholes calculations, fixed income securities, equity markets, currency and commodity markets, risk management.

Udemy – Foundations of Finance and Investment  eBooks & eLearning

Posted by naag at Aug. 16, 2015
Udemy – Foundations of Finance and Investment

Udemy – Foundations of Finance and Investment
MP4 | Video: 1280x720 | 94 kbps | 48 KHz | Duration: 2 Hours | 2.49 GB
Genre: eLearning | Language: English

Learn the essentials of Finance and Investment, how to make good investments

Introduction to Stochastic Calculus for Finance: A New Didactic Approach (Repost)  eBooks & eLearning

Posted by enmoys at Feb. 10, 2015
Introduction to Stochastic Calculus for Finance: A New Didactic Approach (Repost)

Introduction to Stochastic Calculus for Finance: A New Didactic Approach By Dieter Sondermann
2007 | 138 Pages | ISBN: 3540348360 | PDF | 1 MB

Introduction to Stochastic Calculus for Finance: A New Didactic Approach (Repost)  eBooks & eLearning

Posted by bookwyrm at June 2, 2014
Introduction to Stochastic Calculus for Finance: A New Didactic Approach (Repost)

Introduction to Stochastic Calculus for Finance: A New Didactic Approach By Dieter Sondermann
2007 | 138 Pages | ISBN: 3540348360 | PDF | 1 MB

Introduction to Stochastic Calculus for Finance: A New Didactic Approach  eBooks & eLearning

Posted by advisors at Jan. 27, 2014
Introduction to Stochastic Calculus for Finance: A New Didactic Approach

Introduction to Stochastic Calculus for Finance: A New Didactic Approach By Dieter Sondermann
2007 | 138 Pages | ISBN: 3540348360 | PDF | 1 MB
Advanced Analytics with Spark: Patterns for Learning from Data at Scale, 2nd Edition

Advanced Analytics with Spark: Patterns for Learning from Data at Scale, 2nd Edition by Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills
English | July 7, 2017 | ISBN: 1491972955 | EPUB | 280 pages | 4.7 MB
Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

Thomas Mailund, "Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance"
English | ISBN: 1484229185 | 2017 | 110 pages | PDF | 1 MB
An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition (Repost)

An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition By Arlie O. Petters, Xiaoying Dong
English | EPUB | 2016 | 483 Pages | ISBN : 1493937812 | 6 MB

This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary.
Financial Statistics and Mathematical Finance: Methods, Models and Applications (repost)

Ansgar Steland, "Financial Statistics and Mathematical Finance: Methods, Models and Applications"
English | 2012 | ISBN-10: 0470710586 | 432 pages | PDF | 4,6 MB
Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance By Thomas Mailund
English | PDF | 2017 | 106 Pages | ISBN : 1484228804 | 850 KB

Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify.