Quantitative Finance
Offered By: Indian Institute of Technology Kanpur via Swayam
Course Description
Overview
The course covers the latest tools used in Quantitative Finance and covers the whole gamut of relevant topics like boot strapping, time series analysis, stochastic programming, analysis of panel data, etc. It will equip the students with necessary tools needed to understand how these different concepts may be used in the field of quantitative finance
Syllabus
1.Microeconomics
2.Macroeconomics
3.Statistics
4.Distribution
5.Sampling Techniques 6.Optimization
7.Advanced topics in Optimization
8.Time Series Analysis
9.Options & Dervatives
2.Macroeconomics
3.Statistics
4.Distribution
5.Sampling Techniques 6.Optimization
7.Advanced topics in Optimization
8.Time Series Analysis
9.Options & Dervatives
Taught by
Raghu Nandan Sengupta
Tags
Related Courses
An Introduction to Machine Learning in Quantitative FinanceUniversity College London via FutureLearn Analyze Stock Data using R and Quantmod Package
Coursera Project Network via Coursera Asset Pricing, Part 2
The University of Chicago via Coursera Backtesting and Performance Management
Indian School of Business via Coursera Math for Quantitative Finance
Brilliant