Course description
Maths Refresher for Finance
Mathematics is at the heart of financial techniques, but many finance texts and courses assume a lot of prior knowledge. This programme aims to bridge the gap between mathematical theory and financial practice by providing a practical and visual approach to the most useful theories and methods. Calculations will be fully explained, and Excel spreadsheets will be used as a supporting resource to provide further examples.
Upcoming start dates
Suitability - Who should attend?
"Maths Refresher for Finance" course is suitable for every profrssional who needs to develop their understanding and use of mathematics in a financial context.
Training Course Content
Day One
Numbers, Algebra and Functions
- Linear, quadratic and other polynomial functions
- Numerical methods and the Taylor series
- Role of the exponential function in Finance
Workshops:
- Bonds and Bond Yields
- Modelling Yield Curves with polynomials and splines
- Price optimisation using quadratics
Differentials and Calculus
- Gradients, rates of change and differential calculus
- Partial Differentials and PDEs
- Definite and indefinite integrals
Workshops:
- Techniques in calculus
- Bond Prices, Interest Rates and Duration
- Role of the Diffusion Equation PDE in Finance
Matrix Algebra
- Matrix rules and operations
- Cofactors and Determinants
- The Portfolio Matrix
Workshops:
- Simultaneous equations and solutions
- Payoff Matrices
- Portfolio risk & return and the Variance-Covariance matrix
Day Two
Probability and Sets
- Sets, diagrams, notation and probability laws
- Probability Trees and Discrete Probability Distributions
- Hypothesis or Significance Testing
Workshops:
- Probability Calculations
- Expected Monetary Value
- Significance Testing with Trading Data
Distributions and Stochastic Processes
- Real-world Distributions and Descriptive Statistics
- Theoretical probability distributions – Binomial, Normal and others
- Stochastic approaches to Financial Data
- Random walks and the Wiener Process
Workshops:
- Descriptive Statistics and the FTSE
- Random variables and Random walks
- Stochastic Equity Returns Modelling
Forecasting and Regression
- Time-series Approaches
- Correlation, Variance and Covariance
- Linear and multiple regression
- Real data and cautions in forecasting
Workshops:
- Simple linear regression
- Multiple regression forecasting models
Further Advanced Workshop Excel examples combine mathematical techniques from across the course and cover:
- Simple and Log returns, Volatility and VaR
- Log returns, Alpha, Beta and the Security Characteristic Line
- Modern Portfolio Theory and CAPM
- Modelling Bond Default with Probability Transition Matrices
Course delivery details
Courses are delivered in the London classroom and live online via LFS Live in London, New York, and Singapore time zones.
Please contact LFS for more details.
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Reviews
Average rating 4.9
I highly recommend this course for people who haven't reviewed these mathematical concepts since college, or simply want to go back to those concepts (after having gained some w...
I highly recommend this course for people who haven't reviewed these mathematical concepts since college, or simply want to go back to those concepts (after having gained some w...
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Exclusive Teaching for Capital Markets Professionals in Europe, Americas and Asia Pacific
London Financial Studies are specialists in delivering professional development for finance professionals focusing on capital markets. LFS provide individuals, teams and companies with expert teaching that combines theoretical understanding with practical experience, giving them the knowledge to operate at the...
The course brings you back to the basics of mathematics, to those theories and equations that are really important in the financial world. As a researcher exactly what I needed ...