This book provides an introduction to R programming and a summary
of financial mathematics. It is not always easy for graduate
students to grasp an overview of the theory of finance in an
abstract form. For newcomers to the finance industry, it is not
always obvious how to apply the abstract theory to the real
financial data they encounter. Introducing finance theory alongside
numerical applications makes it easier to grasp the subject.
Popular programming languages like C++, which are used in many
financial applications are meant for general-purpose requirements.
They are good for implementing large-scale distributed systems for
simultaneously valuing many financial contracts, but they are not
as suitable for small-scale ad-hoc analysis or exploration of
financial data. The R programming language overcomes this problem.
R can be used for numerical applications including statistical
analysis, time series analysis, numerical methods for pricing
financial contracts, etc. This book provides an overview of
financial mathematics with numerous examples numerically
illustrated using the R programming language.
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