- Knowledge and understanding: To learn the basic actuarial tools in the life insurance field.
- Applying knowledge and understanding: to be able to apply the actuarial toolkit; in particular, starting from a given bionetric data set, to apply models and techniques to calculate premiums, reserves and expected profits in life insurance.
- Communication skills, in order to interact with professionals working in non-actuarial areas.

Matematica finanziaria, Calcolo delle probabilità

1. Risks and insurance
2. Portfolios of risks
3. Biometric bases
4. Premiums
5. Mathematical reserves
C. Supplementary issues

A. Olivieri, E. Pitacco, INTRODUCTION TO INSURANCE MATHEMATICS, Springer, II ed.

1. RISKS AND INSURANCE
1.1 Introduction
1.2 “Risk”: definitions
1.3 Managing risks
1.4 Assessing risks: some models
1.5 Risk measures
1.6 Risk transfers
1.7 Insurance products

2. PORTFOLIOS
2.1 Introduction
2.2 Risk classes and rating classes

3. BIOMETRIC BASES
3.1 Introduction
3.2 Life tables
3.3 Typical values
3.4 A mortality "law"
3.5 From the basic model to more general models
3.6 Heterogeneity
3.7 Select tables
3.8 Mortality dynamics. Projected tables
3.9 Time-continuous models

4. PREMIUMS
4.1 Life insurance products
4.2 Actuarial values
4.3 Single premiums
4.4 Periodic premiums
4.5 Expense loadings

5. MATHEMATICAL RESERVES
5.1 Introduction
5.2 General issues
5.3 The policy reserve
5.4 Risk and savings
5.5 Expected profits
5.6 Reserving for expenses
5.7 Surrender and paid-up values

C. OTHER ISSUES
C.1 Counterinsurance
C.2 Rider benefits
C.3 Group insurance
C.4 Actuarial values in time-continuous models

Lectures

The exam consists in a viva. including open questions, and aims at assessing appropriate knowledge of all the topics dealt with in the course, ability in connecting the various topics, appropriate communication skills.

8.10: Strengthen the capacity of domestic financial institutions to encourage and expand access to banking, insurance and financial services for all