This advanced undergraduate/graduate textbook teaches students in
finance and economics how to use R to analyse financial data and
implement financial models. It demonstrates how to take publically
available data and manipulate, implement models and generate
outputs typical for particular analyses. A wide spectrum of timely
and practical issues in financial modelling are covered including
return and risk measurement, portfolio management, option pricing
and fixed income analysis. This new edition updates and expands
upon the existing material providing updated examples and new
chapters on equities, simulation and trading strategies, including
machine learnings techniques. Select data sets are available
online.
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