R is a versatile open-source statistical software package that can be used in the implementation of international financial risk management.
International Financial Risk Management Using R offers a thorough examination of how to apply R to risk management assessment. Beginning with a brief overview of financial foundations and R fundamentals, author Rangga Handika takes you through the risk management process and demonstrates how R provides the tools needed for
- quantifying risk,
- modeling volatility,
- assessing corporate finance risk,
- adapting to foreign exchange risks,
- interpreting interest rate changes, and
- analyzing stock market risks.
Each chapter offers explanations of theory, questions, problems, and R applications. Handika supports these concepts and theoretical applications with a final chapter devoted to real-world risk management case studies.
A comprehensive and straightforward risk management textbook for graduate courses and advanced undergraduate students in finance, International Financial Risk Management Using R also serves as a convenient reference tool for risk management practitioners seeking to apply R to their own tasks.
R is a rare jewel in the business world-a free but powerful software package that delivers actionable results. Take advantage of it.
About the Author: A lecturer at the Institute for International Strategy at Tokyo International University, Rangga Handika has taught in schools across the Pacific and Middle East, including Abu Dhabi University in the United Arab Emirates. He earned his doctorate of finance at the Macquarie University, Sydney, Australia, and holds a doctorate in economics from the Georg-August-Universität Göttingen, Göttingen, Germany.
In addition to International Financial Risk Management Using R, Handika is also the author of Financial Econometrics Using R and several papers in international peer-reviewed journals. He has been awarded multiple national and international grants and received the Distinguished Teaching Award from Abu Dhabi University in 2016.
