• Student home
• Student news
• Student events
• New students' welcome
• Studying at York
  • Enrolment
  • Manage your studies
    • Enrol or re-enrol
    • Your student record
    • Your timetable
    • Change your plan
    • Programmes and modules
      • Programme specifications
      • Elective modules
      • Module catalogue
    • University study spaces
  • Student Visa holders
  • Study skills
  • Assessment and examination
  • Academic progress issues
  • Graduation
• Support and advice
• Health and wellbeing
• Work, volunteering and career planning
• York Futures
• Study and work abroad
• Accommodation
• IT and online services
• Finance
• Student life in York
• If things go wrong

Statistics for Insurance - MAT00061M

« Back to module search

• Department: Mathematics
• Module co-ordinator: Prof. Degui Li
• Credit value: 10 credits
• Credit level: M
• Academic year of delivery: 2022-23
  • See module specification for other years: 2020-21 2021-22

Related modules

Module will run

Occurrence	Teaching cycle
A	Spring Term 2022-23

Module aims

This module aims to introduce statistics theory and methodology which are relevant to insurance and actuarial science.

Module learning outcomes

At the end of the module you should be able to:

• have developed a knowledge and good understanding of models for analysing insurance data;
• have a good degree of familiarity with distributions and inferential techniques in the analysis of insurance data;
• have a reasonable degree of familiarity with the main statistical theory in the analysis of insurance data;
• know what sorts of methodologies should be applied to model insurance risk in different periods;
• use statistical software to analyse insurance data by various methodologies.

Module content

This module covers the following five topics:

1)    Claims reserving and pricing with run-off triangles;

2)    Commonly-used loss distributions;

3)    Risk theory;

4)    Ruin theory;

5)    Generalised linear models.

 

Assessment

Task	Length	% of module mark
Online Exam 24 hrs Statistics for Insurance	N/A	100

Special assessment rules

None

Reassessment

Task	Length	% of module mark
Online Exam 24 hrs Statistics for Insurance	N/A	100

Module feedback

Current Department policy on feedback is available in the undergraduate student handbook. Coursework and examinations will be marked and returned in accordance with this policy.

Indicative reading

Boland, P. (2011). Statistical and Probabilistic Methods in Actuarial Science. Chapman & Hall/CRC Interdisciplinary Statistics.

Cizek, P., Hardle, W. and Weron, R. (2011). Statistical Tools for Finance and Insurance (2nd Edition). Springer.

Daykin, C. D., Pentikainen, T. and Pesonen, M. (1993). Practical Risk Theory for Actuaries. Chapman & Hall/CRC.

Dickson, D. (2010). Insurance Risk and Ruin. International Series on Actuarial Science, Cambridge University Press.

Kaas, R., Goovaets, M. and Dhaene, J. (2008). Modern Actuarial Risk Theory: Using R. Springer