Quantitative finance is the use of mathematical models and extremely large data sets to analyze financial markets and securities.
Why should one take Certificate in Quantitative Financial Programming with R Certification?
Earning Vskills Certificate in Quantitative Financial Programming with R Certification can help candidate differentiate in today's competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.
This Course is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression.
Who will benefit from taking Certificate in Quantitative Financial Programming with R Certification?
Job seekers looking to find employment in software development, or IT departments of various finance companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.
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TABLE OF CONTENT
Quantitative Finance Basics
- Fundamentals of Quantitative Finance
- R Functions and Packages
Data Analysis using R Language
- Introduction to Quantmod
- Equity – Definitions and Price Download
- Modeling Prices and Returns
- Asset Returns Simulation
- Financial Modeling with R: S&P500 Statistical Analysis
- Introduction to jrvFinance
- Introduction to Fixed-Income Securities
- The Importance of Interest Rate
- Pricing of Fixed-Income Securities
- Duration, Modified Duration, and Convexity
- The Yield Curve and the Bootstrapping Approach
- Introduction to fOptions
- Working with Futures
- European and American Options
- Pricing European Options – The Binomial Model
- Pricing European Options with the Black-Scholes Model
Risk Return Analysis
- Introduction to PortfolioAnalytics
- The Benefits of Diversification
- Risk/Return Paradigm
- Capital Allocation Line and Capital Market Line
- Optimal Asset Allocation with Markowitz Framework
The CAPM Model
- Introduction to PerformanceAnalytics
- Idiosyncratic versus Systematic Risk
- Risk Factors
- The CAPM
- Fama-French and Other Factor Models
- Empirical Testing of the CAPM
Portfolio Risk Management
- PerformanceAnalytics for Risk Management
- The Value-at-Risk (VaR) Model
- The Expected Shortfall (ES)
- Benefits and Pitfalls of VaR Approach
- Hedging Financial Exposure