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With the ever-changing financial environment in the global market, hedge funds, investment banks, and private equity firms are always on the outlook for professionals equipped to recognize profitable investment opportunities and manage risk. Solving complex quantitative finance tasks becomes much easier with hands-on coding implementations. The Vskills Certificate in Quantitative Financial Programming with R exam includes topics such as Fundamentals of Quantitative Finance, R Functions and Packages, Financial Modeling with R: S&P500 Statistical Analysis, and more to help you prepare better. Let’s get more details together with the expert preparation guide.
Vskills Certificate in Quantitative Financial Programming with R: Exam Overview
Quantitative finance is the use of mathematical models and extremely large data sets to analyze financial markets and securities. 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.
Vskills being India’s largest certification provider gives candidates access to top exams as well as provides after exam benefits. This includes:
- Become Government Certified Professional!
- The Certification is valid for life.
- Candidates will get lifelong e-learning access.
- Access to free Practice Tests.
- Candidates will get tagged as ‘Vskills Certified’ On Monsterindia.com and ‘Vskills Certified’ On Shine Shine.com.
Exam Details
- Exam Duration: 60 minutes
- Vskills Exam Code: VS-1543
- Number of questions: 50
- Maximum marks: 50
- Passing marks: 25 (50%)
- Exam Mode: Online
- There is NO negative marking in this module.
Course Outline
Vskills Certificate in Quantitative Financial Programming with R exam covers the following topics –
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
Fixed-Income Securities
- 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
Derivatives
- 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
Preparation Guide
Candidates brewing for the Certificate in Quantitative Financial Programming with R exam should recognize the importance of exam resources. During the exam preparation, it is important to get all the necessary exam study sources. This will provide the benefit to understand the concepts and meaning more precisely. In the preparation guide, we will review some of the most significant resources to help the candidate prepare well for the exam.
Exam Objectives
For every examination, the first task should be to get all the exam relevant details including the important contents and its topic. With complete exam objectives, the candidate’s exam preparation time is better spent because they already know what to study. For this exam, the topics include:
- Quantitative Finance Basics
- Data Analysis using R Language
- Fixed-Income Securities
- Derivatives
- Risk Return Analysis
- The CAPM Model
- Portfolio Risk Management
Vskills Online Learning Material
Vskills provides candidates a way to prepare for the exam using the online learning material for existence. The online material for this is regularly updated. Moreover, e-learning is bundled with hard copy material which encourages candidates to enhance and update the learning curve for superior and better opportunities. The candidate can also download the sample chapter for the Certificate in Quantitative Financial Programming with R exam.
Books for Reference
The next step in the preparatory guide should be books and study guides. The candidate needs to find those books which are enriched with information. Finding a good book may be a difficult task, but in order to gather knowledge and skills, the candidate has to find, read, and understand. The candidate can try the following:
- Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis (Chapman & Hall/CRC The R Series)
- Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant’s Perspective by Harry Georgakopoulos
- Mastering R for Quantitative Finance by Edina Berlinger, Ferenc Illes, et al.
Evaluate yourself with Practice Test
Practice tests are the one who ensures the candidate about their preparation for the exam. The practice test will help the candidates to acknowledge their weak areas so that they can work on them. There are many practice tests available on the internet nowadays, so the candidate can choose which they want. Try the practice test here!
