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Course Outline

Introduction

Configuring the IDE (Integrated Development Environment)

  • RStudio

Fundamentals of R Programming

  • R objects: vectors, matrices, arrays, data frames, and lists
  • Control flow: conditional branching, loops, and logical testing

Data Access with R

  • Importing and exporting CSV data
  • Connecting to SQL databases

Data Visualization with R

  • Creating plots and visualizations in R

Data Analysis with R

  • Manipulating data frames
  • Computing descriptive statistics

Inference and Time Series Analysis

  • Analyzing time series data in financial markets
  • Modeling volatility for high-frequency financial data

Simulating Asset Price Pathways

  • Monte Carlo simulation techniques

Asset Allocation and Portfolio Optimization

  • Executing capital allocation, asset allocation, and risk assessment
  • Conducting regression analysis

Risk Analysis and Investment Performance Evaluation

  • Defining and solving portfolio optimization problems
  • Calculating VaR (Value at Risk) and ES (Expected Shortfall)

Fixed-Income Analysis and Option Pricing

  • Performing fixed-income analysis and option pricing models

Deploying Your R Application to Production

  • Integrating your application with Excel and other web-based tools

Application Performance Optimization

  • Optimizing application efficiency
  • Implementing R multiprocessing

Troubleshooting

Closing Remarks

Requirements

  • Fundamental understanding of finance concepts (e.g., securities, derivatives)
  • Strong foundation in mathematics
  • Previous programming experience in any language is advantageous but not mandatory
 28 Hours

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