Mastering R for Quantitative Finance

Mastering R for Quantitative Finance

4.33 (6 ratings by Goodreads)
By (author)  , By (author)  , By (author) 

Free delivery worldwide

Available. Dispatched from the UK in 4 business days
When will my order arrive?

Not expected to be delivered to the United States by Christmas Not expected to be delivered to the United States by Christmas

Description

This book is intended for those who want to learn how to use R's capabilities to build models in quantitative finance at a more advanced level. If you wish to perfectly take up the rhythm of the chapters, you need to be at an intermediate level in quantitative finance and you also need to have a reasonable knowledge of R.
show more

Out of ideas for the holidays?

Visit our Gift Guides and find our recommendations on what to get friends and family during the holiday season. Shop now .

Product details

  • Paperback | 362 pages
  • 191 x 235 x 19.05mm | 621.42g
  • Birmingham, United Kingdom
  • English
  • 1783552077
  • 9781783552078
  • 870,198

Looking for beautiful books?

Visit our Beautiful Books page and find lovely books for kids, photography lovers and more. Shop now .

About Edina Berlinger

Edina Berlinger has a PhD in economics from the Corvinus University of Budapest. She is an associate professor, teaching corporate finance, investments, and financial risk management. She is the head of the Finance department of the university, and is also the chair of the finance subcommittee of the Hungarian Academy of Sciences. Her expertise covers loan systems, risk management, and more recently, network analysis. She has led several research projects in student loan design, liquidity management, heterogeneous agent models, and systemic risk. Ferenc Illes has an MSc degree in mathematics from Eotvos Lorand University. A few years after graduation, he started studying actuarial and financial mathematics, and he is about to pursue his PhD from Corvinus University of Budapest. In recent years, he has worked in the banking industry. Currently, he is developing statistical models with R. His interest lies in large networks and computational complexity. Milan Badics has a master's degree in finance from the Corvinus University of Budapest. Now, he is a PhD student and a member of the PADS PhD scholarship program. He teaches financial econometrics, and his main research topics are time series forecasting with data-mining methods, financial signal processing, and numerical sensitivity analysis on interest rate models. He won the competition of the X. Kochmeister-prize organized by the Hungarian Stock Exchange in May 2014.
show more

Rating details

6 ratings
4.33 out of 5 stars
5 50% (3)
4 33% (2)
3 17% (1)
2 0% (0)
1 0% (0)
Book ratings by Goodreads
Goodreads is the world's largest site for readers with over 50 million reviews. We're featuring millions of their reader ratings on our book pages to help you find your new favourite book. Close X