This Quantitative Techniques in Finance course provides an intuitive, but rigorous, approach to understanding the application of various mathematical and statistical techniques to financial instruments and risk management frameworks.

US$73 per 365 days

 

What are Quantitative Techniques in Finance:

The application of mathematical and statistical techniques to finance has become more common in recent decades, requiring bankers and other finance professionals to draw increasingly on the skills of mathematicians, statisticians, and econometricians.

Quantitative analysis is often used, for instance, when making investment and portfolio management decisions, or when creating models that explain the behavior of security prices and rates of return. While some quantitative skills are necessary to assess cash market instruments such as stocks and bonds, the need is even more pronounced for options and other derivatives that play such a crucial role in modern finance. Analyzing and pricing these products often requires fairly sophisticated quantitative approaches.

Why it is important:

This course provides an intuitive, but rigorous, approach to understanding the application of various mathematical and statistical techniques to financial instruments and risk management frameworks.

Not everyone has a quantitative background, and so the course is designed to be accessible to those of you with even a moderate understanding of mathematics and statistics. Where possible, the emphasis is on understanding ideas rather than on mathematical complexity, although the latter hasn't been unnecessarily sacrificed. While primarily aimed at those with less quantitative expertise, the course also contains elements that will reward the more experienced professional. There is a strong applied emphasis, including the implementation of many of the techniques in Excel, making this an ideal course for anyone looking to master the quantitative techniques that underpin modern financial markets.

What will you learn:

  1. Exponents
  2. Logarithms
  3. Geometric Series
  4. Basics of Metrics
  5. Basics of Differential Calculus
  6. Integral Calculus
  7. Probability
  8. Random Variables and Probability Distribution
  9. Normal Distribution and Binominal Distribution
  10. Covariance and Correlation: Excel in Finance
  11. Regression Analysis
  12. Geometric Series in Finance

Target audience:

Recruits to banking and financial institutions, and any other professionals looking to understand the calculations behind the numbers that they deal with in their day-to-day role.

Curriculum:

  1. Quantitative Techniques in Finance: Exponents
  2. Quantitative Techniques in Finance: Logarithms
  3. Quantitative Techniques in Finance: Geometric Series
  4. Quantitative Techniques in Finance: Matrices Basics
  5. Quantitative Techniques in Finance: Differential Calculus Basics
  6. Quantitative Techniques in Finance: Integral Calculus
  7. Quantitative Techniques in Finance: Probability
  8. Quantitative Techniques in Finance: Random Variables and Probability Distributions
  9. Quantitative Techniques in Finance: Normal Distribution
  10. Quantitative Techniques in Finance: Binomial Distribution
  11. Quantitative Techniques in Finance: Covariance
  12. Quantitative Techniques in Finance: Correlation
  13. Quantitative Techniques in Finance: Regression Analysis
  14. Quantitative Techniques in Finance: Geometric Series

 

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