Brief Introduction
Learn portfolio optimization, asset pricing, and risk management with RDescription
With the ever-changing financial environment in the global market, investment banks, hedge funds, and private equity firms are always on the lookout for professionals able to identify profitable investment opportunities and manage risk. If you are interested in Quantitative Finance, especially in modern portfolio theory and risk management, then this is the perfect course for you.
Solving complex quantitative finance tasks becomes much easier with hands-on coding implementations. This course mixes important theoretical steps in a practical way to enhance your financial IQ in your day-to-day activities.
By the end of the course, you'll be comfortable using R and its associated libraries to solve any problem associated with Quantitative Finance without getting stressed; in short, you'll be solving the complex challenges that portfolio and risk managers face every day.
About The Author
Marco Neffelli is a Ph.D. candidate in Economics at the University of Genova, Italy. His main research revolves around Quantitative Finance and Financial Econometrics. He is a lecturer for the course Quantitative Finance with R at the University of Pavia, Italy. His background includes an MSc in Quantitative Finance from Cass Business School, London.
Omar Bazara holds a Master's degree in financial mathematics from Cass Business School, City University of London. Omar is a portfolio valuation analyst at IHS Markit, London. He is specialized in Credit Derivatives and working alongside a variety of different asset classes.
Requirements
- Requirements
- This course expects viewers to have some basic knowledge of financial markets and a good understanding of R programming. However, they need not have any knowledge of quantitative finance or working with financial data.
Packt Publishing
4.2 Raiting
The Comprehensive Statistics and Data Science with R Course
- 3.5
-
![]()
![]()
![]()
![]()
![]()
Learn how to use R for data science tasks, all about R data structures, functions and visualizations, and statistics. 1. Introduction to R; Inputting data into R...
Investment Portfolio Analysis with Excel
- 3.7
-
![]()
![]()
![]()
![]()
![]()
Learn investment portfolio analysis main concepts from basic to expert level through a practical course with Excel. Full Course Content Last Update 12/2018...
Time Series Analysis and Forecasting Using Python in 2020
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Moving Average /Exponential Smoothing/Holt Winter /ARIMA / SARIMA Is this one of your needs? Then course is for you Forecasting Online Users ?...
Stochastic processes
- 4.5
-
![]()
![]()
![]()
![]()
![]()
More precisely, the objectives are 1. study of the basic concepts of the theory of stochastic processes; 2. introduction of the most important types of stochastic processes;...
