Financial Modelling with R - MAN00037I
Module will run
Occurrence | Teaching period |
---|---|
A | Semester 2 2024-25 |
Module aims
The aim of this module is to provide a sound grounding on the analysis and modelling of financial data informed by financial theory. The module provides the opportunity for students to master the use of the statistical modelling language R on performing simulations and analyse economic and financial time series data.
Module learning outcomes
After successful completion of the module, students will be able to:
Subject content
Demonstrate and interpret statistical properties typically found in financial data (stylized facts)
Explain the main concepts of ARMA and ARIMA models
Define and estimate from data linear and non-linear time series models used in finance
Perform stochastic simulation to estimate financial quantities and indicators
Explain and fit financial factor models to data, and give interpretation of results
Use R to conduct statistical analyses and modelling of financial data
Academic and graduate skills
Present analyses in a logical, rigorous and concise way
Perform and demonstrate logical reasoning from assumptions to conclusion
Critically assess the assumptions underlying analyses and conclusions
Module content
Syllabus:
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Stochastic simulation
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Introduction to financial data
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Classical time series models
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Factor models of asset returns
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Volatility models for financial asset returns
Indicative assessment
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 70 |
Essay/coursework | 30 |
Special assessment rules
None
Indicative reassessment
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 70 |
Essay/coursework | 30 |
Module feedback
Feedback will be given in accordance with the University Policy on feedback in the Guide to Assessment as well as in line with the School policy.
Indicative reading
Hyndman, R.J., & Athanasopoulos, G. (2018) Forecasting: principles and practice, 2nd edition, OTexts: Melbourne, Australia. Available from OTexts.com/fpp2. Accessed on 20 May 2022.
Zivot, E., Introduction to Computational Finance and Financial Econometrics with R. Available from bookdown.org/compfinezbook/introcompfinr. Accessed on 20 May 2022.