Introduction to R for Quantitative Finance

This book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance. If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.

Gergely Daroczi is a Ph.D. candidate in Sociology with around eight years'experience in data management and analysis tasks within the R programmingenvironment. Besides teaching Statistics at different Hungarian universities anddoing data analysis jobs for several years, Gergely has founded and coordinateda UK-based online reporting startup company recently. This latter softwareor platform as a service which is called rapporter.net will potentially providean intuitive frontend and an interface to all the methods and techniques coveredin the book. His role in the book was to provide R implementation of the QFproblems and methods. Michael Puhle obtained a Ph.D. in Finance from the University of Passau inGermany. He worked for several years as a Senior Risk Controller at AllianzGlobal Investors in Munich, and as an Assistant Manager at KPMG's Financial RiskManagement practice, where he was advising banks on market risk models. Michaelis also the author of Bond Portfolio Optimization published by Springer Publishing. Edina Berlinger has a Ph.D. in Economics from the Corvinus University ofBudapest. She is an Associate Professor, teaching corporate fi nance, investments,and fi nancial risk management. She is the Head of Department for Finance ofthe university and is also the Chair of the Finance Sub committee the HungarianAcademy of Sciences. Her expertise covers student loan systems, risk management,and, recently, network analysis. She has led several research projects in student loandesign, liquidity management, heterogeneous agent models, and systemic risk.Peter Peter Csoka is an Associate Professor at the Department of Finance, CorvinusUniversity of Budapest, and a research fellow in the Game Theory Research Group,Centre For Economic and Regional Studies, Hungarian Academy of Sciences. Hereceived his Ph.D. i Daniel Havran is a postdoctoral research fellow at Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences. He also holds a part-time assistant professor position at the Corvinus University of Budapest, where he teaches corporate finance (BA, PhD) and credit risk management (MSc). He obtained his PhD in economics at Corvinus University of Budapest in 2011. Marton Michaletzky obtained his Ph.D. degree in Economics in 2011 from Corvinus University of Budapest. Between 2000 and 2003, he has been a Risk Manager and Macroeconomic Analyst with Concorde Securities Ltd. As Capital Market Transactions Manager, he gained experience in an EUR 3 bn securitization at the Hungarian State Motorway Management Company. In 2012, he took part in the preparation of an IPO and the private placement of a Hungarian financial services provider. Prior to joining DBH Investment, he was an assistant professor at the Department of Finance of CUB. Zsolt Tulassay works as a Quantitative Analyst at a major US investment bank, validating derivatives pricing models. Previously, Zsolt worked as an Assistant Lecturer at the Department of