Paperback: 164 pages
Publisher: Packt Publishing (November 22, 2013)
Product Dimensions: 7.5 x 0.4 x 9.2 inches
Shipping Weight: 13.3 ounces (View shipping rates and policies)
Average Customer Review: 3.0 out of 5 stars See all reviews (13 customer reviews)
Best Sellers Rank: #668,331 in Books (See Top 100 in Books) #104 in Books > Computers & Technology > Software > Personal Finance #121 in Books > Computers & Technology > Software > Accounting #420 in Books > Computers & Technology > Software > Mathematical & Statistical
As there are currently no R book which specifically cover quantitative finance in broader terms, the book is interesting for all finance guys who want to quickly understand implementation in R.The book is intended to be an introduction to R for readers with some knowledge in finance. It is basically a collection of self-contained essays on some well-known concepts of finance like portfolio optimization, term structure of interest rates and derivatives pricing. These concepts are then implemented in R. To really understand what is going on, a fairly advanced understanding of finance theory and econometrics (master level at least) and a working knowledge or R are required, although the authors claim that no prior R knowledge is needed. There is no R intro included and the code is not easy to follow through without prior knowledge (e.g. the apply functionality is utilized and for R novices this is a complicated animal since it is unique to R and is one of the hottest topics in all help forums). The R code is usually sound, however, there are parts where it could be simplified and there are parts of the code that are not fully explained.A drawback of the book is that it is very short and sometimes the text lacks technical precision or uses unconventional approaches (examples: if the conditions of the CAPM are satisfied, all securities will be on the SML while the text states that they “should” or “the APT states that, in equilibrium, no arbitrage opportunities can exist” – the APT is not an equilibrium model, absence of arbitrage is a necessary but not a sufficient condition for the existence of an equilibrium). At a later stage, it is said that the CAPM is an equilibrium model, while APT is a statistical model (it is in fact a no-arbitrage model).
Introduction to R for Quantitative Finance Mastering R for Quantitative Finance Multi-factor Models and Signal Processing Techniques: Application to Quantitative Finance Modeling Structured Finance Cash Flows with Microsoft Excel: A Step-by-Step Guide (Wiley Finance) Introduction to Quantitative EEG and Neurofeedback, Second Edition: Advanced Theory and Applications Matrix Algebra: An Introduction (Quantitative Applications in the Social Sciences) Mathematics for Finance: An Introduction to Financial Engineering (Springer Undergraduate Mathematics Series) Now You See It: Simple Visualization Techniques for Quantitative Analysis Quantitative Biomedical Optics: Theory, Methods, and Applications (Cambridge Texts in Biomedical Engineering) Computer Architecture, Fifth Edition: A Quantitative Approach (The Morgan Kaufmann Series in Computer Architecture and Design) Computer Architecture: A Quantitative Approach (The Morgan Kaufmann Series in Computer Architecture and Design) Official GRE Quantitative Reasoning Practice Questions: 1 Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (2nd Edition) Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, Enhanced Pearson eText with Loose-Leaf Version -- Access Card Package (5th Edition) Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (5th Edition) Research and Evaluation in Education and Psychology: Integrating Diversity With Quantitative, Qualitative, and Mixed Methods Educational Research: Quantitative, Qualitative, and Mixed Approaches Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research (4th Edition) Lab Math: A Handbook of Measurements, Calculations, and Other Quantitative Skills for Use at the Bench, Second edition Analyzing Media Messages: Using Quantitative Content Analysis in Research (Lea Communication Series)