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# Financial Modelling with R - MAN00037I

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• Department: The York Management School
• Module co-ordinator: Prof. Alexander McNeil
• Credit value: 20 credits
• Credit level: I
• Academic year of delivery: 2024-25
• See module specification for other years: 2023-24

## 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

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:

• Stochastic simulation

• Introduction to financial data

• Classical time series models

• Factor models of asset returns

• Volatility models for financial asset returns

## Assessment

Task Length % of module mark
Closed/in-person Exam (Centrally scheduled)
Closed exam : Exam - Computer Lab
2 hours 40
Closed/in-person Exam (Centrally scheduled)
Closed exam : Exam - Paper based
1 hours 30
Essay/coursework
Essay : Case study
N/A 30

None

### Reassessment

Task Length % of module mark
Closed/in-person Exam (Centrally scheduled)
Closed exam : Exam - Computer Lab
2 hours 40
Closed/in-person Exam (Centrally scheduled)
Closed exam : Exam - Paper based
1 hours 30
Essay/coursework
Essay : Case study
N/A 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.