Actuarial and Financial Sciences

Educational objectives

Learning goals
The primary aim of the course is the students' knowledge of the most relevant statistical methods for financial and insurance data.

Knowledge and understanding.
Knowledge of the most applied statistical techniques in the domains of inference, time series and dependence for for financial and insurance data.

Applying knowledge and understanding.
Ability to formalize real problems in the fields of finance and insurance in statistical terms and to solve them by applying the corresponding statistical methods.

Making judgements.
Ability to apply statistical methods and to evaluate the reliability of the results obtained by analyzing real financial and insurance data.

Communication skills.
By studying and by examples, learning and acquiring technical and scientific language in the statistical domain to be used properly in the final evaluation.

Learning skills.
Students passing the exams acquire the knowledge for facing issues concerning finance and insurance, in courses devoted to finance and insurance, by means of statistical methods.

Educational objectives

Learning goals
The course deals with the topics essential for acting in the financial market. It has the goal of providing the fundamental notions for the formalization and valuation of financial derivatives and for risk management. Knowledge and understanding
After attending the course the students are familiar with the principles of valuation of derivative contracts and with some of the main stochastic models for the evaluation of equity, interest rate and credit risk. They are able to appreciate the role of modeling hypotheses in the evaluation process, also from the point of view of numerical complexity.

Applying knowledge and understanding
After attending the course the students are able to formalize, in a stochastic environment, the problems of pricing and measuring risks of financial contracts.

Making judgements
Students develop critical skills through the comparison of different financial hypotheses applied to problems of increasing complexity.

Communication skills
Students, through the study of theory and practical examples, acquire the technical-scientific language of the discipline, which must be used appropriately in the oral examination.

Learning skills
Students passing the exam have learned a method of analysis that allows them to tackle financial problems involving more complex financial instruments and a broader sets of risks.

Educational objectives

GENERAL OBJECTIVES

The course intends to introduce students to the study of the operational rules of financial markets, with particular regard to insurance. Students must not only learn the basics but also analyse them critically, especially with regard to the sound ratio of their discipline.

KNOWLEDGE AND UNDERSTANDING SKILLS
After attending the course, the students will know and understand how to deal with the study not only of current legislation but also of its evolutionary trend, being these disciplines in continuous and constant evolution.

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
At the end of the course, students will be able to understand the logic that governs the functioning of the markets and the profound interrelation between the framework of companies, products, their intermediation and supervision.

JUDGMENT AUTONOMY
Students develop a peripheral vision and a basic reconstructive skill of the frameworks examined, developing the ability to evaluate them also in a critical sense and in terms of consistency with the European legislation.

COMMUNICATIVE SKILLS
After attending the course, students acquire a legal language that, for the chosen university path, is of fundamental importance not only to have an expressive modality different from the other subjects studied but also to make an appropriate use of it also for the purpose of an adequate placement in a working environment.

LEARNING SKILLS
Language, expressive modalities, knowledge and critical scrutiny of the general and sector-specific disciplines covered by the course are the basis for the students to increase, on a much more solid basis, their ability to use them in the areas of competence

Educational objectives

Learning goals
The aim of the course is to introduce students to the main methods of analysis and forecasting of the economic and financial time series. In particular, it covers
i) Linear stochastic processes. Stationarity. Invertibility. Causality. ARMA processes. Identification, estimation, interpretation and forecasting.
ii) Measurement and analysis of volatility. ARCH and GARCH models. Identification, estimation, interpretation and forecasting.
Knowledge of the econometric theory for cross-section analysis, inference and probability theory is a prerequisite.

Knowledge and understanding.
After attending the course the students know and understand the main problems related to time series (for example: absence of stationarity) and the main methods to be used to solve such problems (for example: unit root tests).

Applying knowledge and understanding.
At the end of the course the students are able to formalize real problems in terms of linear regression models and to apply the methods
specific to the discipline to solve them.
They are also able to apply the methods to concrete situations and to interpret the results.

Making judgements.
Students develop a knowledge of the analytical properties of the presented methodologies and the ability to build programs for their implementation.
They also learn to critically interpret the results obtained by applying the procedures to concrete situations.

Communication skills.
Students acquire the technical-scientific language of the discipline, which it must be used appropriately in both the intermediate and final written tests and in the oral tests. Communication skills are also developed through group activities.

Learning skills.
Students who pass the exam have learned a method of analysis that allows them to tackle the study of analytical properties in more complex modeling contexts in subsequent quantitative area teachings. They are also able to produce sound empirical analyzes and forecasts.

Educational objectives

Learning goals
The main learning goal is to learn the demographic techniques to study the dynamic characteristics of a population and to understand what is the role of a demographic variable – causes and effects – in the change of social and economic phenomena.
The course provides skills for several fields of application, such as, for example, life insurance policies, social-security benefits, health-care and also financial planning.

Knowledge and understanding
Knowledge and understanding of main population trends and the dynamics of demographic phenomena are expected, together with adequate methodologies to learn about the importance of demographic dimension and related tecnnical practice.

Applying knowledge and understanding
At the end of the course the student will be able to build and analyse demographic indicators and instruments useful in the insurance sector, with particular reference to the construction of actual and future life tables and their use.
The course provides all the tools, both theoretical and methodological, to make a population forecast and to read the results obtained correctly so that they can be used in the actuarial and financial fields.

Making judgements
Students will be able to evaluate the impact of the evolution of mortality, fertility and migration on the age structure of a population and, viceversa, be able to evaluate the influence that these structural changes will have in the mid and long term on the three components, mortality, fertility and migration.
In particular, the course allows the students to choose the most suitable life tables for each specific field of application, especially the actuarial one.

Communication skills
Attending lessons and passing the final exam, the student acquires the demografic technical and scientific language , which is necessary to communicate results at work and generally speaking in the field of social security and assistance.

Learning skills
At the end of the course, students passing the exam will have learned the key role of the demographic dimension and will be able to apply the main quantitative tools to manage and analyse the actuarial eand financial processes.
The competences acquired can be very useful to work in the field of social welfare plannning.

Educational objectives

This course can be chosen by the student within the Sapienza courses as long as consistent with the curriculum.

Educational objectives

Learning goals.
The main learning goal for students is the knowledge of principles, methods and techniques of non life insurance.
Students must be able to apply the main actuarial models and to interpret the results of their use on real data.

Knowledge and understanding.
Students acquire knowledge and understanding of the most important problems of actuarial science for non life insurance (premium principles, technical proisions, ecc.) and of the main methods for solving these problems.

Applying knowledge and understanding.
After the attendance of this course, students will be able to formalize real problems and to apply appropriate actuarial models.
They will also be able to apply actuarial models to real data and to interpret them.

Making judgements.
Students improve judgements skills by applying actuarial models to a wide range of non life insurance products.
Their skills will be improved by using and comparing different methods to the same problems and by applying these methods to real data.

Communication skills
Students will acquire the scientific language of actuarial science for non life insurance, that will be used in written test.
Communication skills will be enhanced also by group work.

Learning skills.
Students who pass the final exam will have acquired the methods and knowledge necessary to operate as non life actuaries, with a special regard for non life technical provition.
These skills will allow them access to the State Examination to the Actuarial Profession.

Educational objectives

GOALS
The main objective of the course is to provide from an actuarial point of view the basic foundations of an insurance process and of the management of a life insurance company.
More in detail, it wishes to allow the students to understand and proceed to:
the analysis of technical aspects of the branches I,II,III,IV,V,VI , mentioned in the Legislative decree 7 September 2005, n.209:
from the planning of the products and the structure of the ratings to the formation and quantification of needs and technical reserves;
the development of an actuarial profile in the evaluation topics of the technical items contained in the budget;
the development of product profitability and portfolios;
the development of insurance activities;
the solvency approach of a life insurance company according to the simplified standards of the corporate model;
the propaedeutic risk oriented formulation of the rules of application and guide lines which are at the basis of the activity of the Actuary in charge and of the actuarial certification.

Skill to acquire.
The students, passed the course exam, will have a good knowledge of the topics described in the program and will have the capability to put what learnt into practice.
More in detail, they will be able to proceed to the: technical-actuarial design of insurance policies belonging to the branches I,II,III,IV,V,VI; rating and quantification of the technical reserves; use of standard models during the insurance process and to the basic analysis of the management of a life-insurance company; application of evaluative methodologies to the profitabilty/value of life insurance products and portfolios, as well as to insurance activities (profit testing, embedded, actuarial appraisal value); technical analysis of the rules of application and of the guide lines to the activity of the Actuary in the life insurance sector.

Educational objectives

GOALS
The course provides fundamentals of actuarial and financial methods to manage supplementary pension schemes. Starting from the equilibrium models (of the collective type or individual, financial or actuarial) between contributions and benefits that may be adopted in a supplementary pension scheme, teaching topics deepens methodological actuarial and financial arguments to manage risks to which it is subjected a pension fund.

SKILLS TO ACQUIRE
The course, developed by means of tutorials and seminars, allows the student to the end of teaching activities, to acquire the knowledge on actuarial and financial methodologies to assess the effects due to the interaction of multiple sources of risk on a pension fund management.

Educational objectives

Learning goals
The primary educational objective of the course is students' learning of the basics concerning the structure, the contents and the main evaluation methods of the balance sheet of life and non life insurance companies, with reference to the national legislation, the IAS / IFRS international accounting standards and the Solvency II project.

Knowledge and understanding.
At the end of the course the students know and understand the structure and elements of the financial statements of the insurance companies.
Applying knowledge and understanding At the end of the course students are able to analyze a balance sheet of an insurance company.
They are also able to understand the methods used to evaluate the main items of the financial statements.

Making judgements.
Students develop critical skills through the analysis of the balance sheet, also through the use of specific key performance indicators.

Communication skills.
The students, through the study and analysis of the financial statements, acquire the technical language of the discipline, which must be used appropriately in the final test.
Communication skills are also developed through group activities and make students able to communicate with specialists and non-specialists.

Learning skills.
Students passing the exam have learned knowledge and method of analysis that allows them to deal with the topics developed during the course independently.

Educational objectives

To allow the student to the writing of an original text that represents the sum of the specialized knowledge achieved during the course of his study.

Educational objectives

Learning goals
The primary aim of the course is the students' knowledge of the most relevant statistical methods for financial and insurance data.

Knowledge and understanding.
Knowledge of the most applied statistical techniques in the domains of inference, time series and dependence for for financial and insurance data.

Applying knowledge and understanding.
Ability to formalize real problems in the fields of finance and insurance in statistical terms and to solve them by applying the corresponding statistical methods.

Making judgements.
Ability to apply statistical methods and to evaluate the reliability of the results obtained by analyzing real financial and insurance data.

Communication skills.
By studying and by examples, learning and acquiring technical and scientific language in the statistical domain to be used properly in the final evaluation.

Learning skills.
Students passing the exams acquire the knowledge for facing issues concerning finance and insurance, in courses devoted to finance and insurance, by means of statistical methods.

Educational objectives

Learning goals
The course deals with the topics essential for acting in the financial market. It has the goal of providing the fundamental notions for the formalization and valuation of financial derivatives and for risk management. Knowledge and understanding
After attending the course the students are familiar with the principles of valuation of derivative contracts and with some of the main stochastic models for the evaluation of equity, interest rate and credit risk. They are able to appreciate the role of modeling hypotheses in the evaluation process, also from the point of view of numerical complexity.

Applying knowledge and understanding
After attending the course the students are able to formalize, in a stochastic environment, the problems of pricing and measuring risks of financial contracts.

Making judgements
Students develop critical skills through the comparison of different financial hypotheses applied to problems of increasing complexity.

Communication skills
Students, through the study of theory and practical examples, acquire the technical-scientific language of the discipline, which must be used appropriately in the oral examination.

Learning skills
Students passing the exam have learned a method of analysis that allows them to tackle financial problems involving more complex financial instruments and a broader sets of risks.

Educational objectives

GENERAL OBJECTIVES

The course intends to introduce students to the study of the operational rules of financial markets, with particular regard to insurance. Students must not only learn the basics but also analyse them critically, especially with regard to the sound ratio of their discipline.

KNOWLEDGE AND UNDERSTANDING SKILLS
After attending the course, the students will know and understand how to deal with the study not only of current legislation but also of its evolutionary trend, being these disciplines in continuous and constant evolution.

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING
At the end of the course, students will be able to understand the logic that governs the functioning of the markets and the profound interrelation between the framework of companies, products, their intermediation and supervision.

JUDGMENT AUTONOMY
Students develop a peripheral vision and a basic reconstructive skill of the frameworks examined, developing the ability to evaluate them also in a critical sense and in terms of consistency with the European legislation.

COMMUNICATIVE SKILLS
After attending the course, students acquire a legal language that, for the chosen university path, is of fundamental importance not only to have an expressive modality different from the other subjects studied but also to make an appropriate use of it also for the purpose of an adequate placement in a working environment.

LEARNING SKILLS
Language, expressive modalities, knowledge and critical scrutiny of the general and sector-specific disciplines covered by the course are the basis for the students to increase, on a much more solid basis, their ability to use them in the areas of competence

Educational objectives

Learning goals
The aim of the course is to introduce students to the main methods of analysis and forecasting of the economic and financial time series. In particular, it covers
i) Linear stochastic processes. Stationarity. Invertibility. Causality. ARMA processes. Identification, estimation, interpretation and forecasting.
ii) Measurement and analysis of volatility. ARCH and GARCH models. Identification, estimation, interpretation and forecasting.
Knowledge of the econometric theory for cross-section analysis, inference and probability theory is a prerequisite.

Knowledge and understanding.
After attending the course the students know and understand the main problems related to time series (for example: absence of stationarity) and the main methods to be used to solve such problems (for example: unit root tests).

Applying knowledge and understanding.
At the end of the course the students are able to formalize real problems in terms of linear regression models and to apply the methods
specific to the discipline to solve them.
They are also able to apply the methods to concrete situations and to interpret the results.

Making judgements.
Students develop a knowledge of the analytical properties of the presented methodologies and the ability to build programs for their implementation.
They also learn to critically interpret the results obtained by applying the procedures to concrete situations.

Communication skills.
Students acquire the technical-scientific language of the discipline, which it must be used appropriately in both the intermediate and final written tests and in the oral tests. Communication skills are also developed through group activities.

Learning skills.
Students who pass the exam have learned a method of analysis that allows them to tackle the study of analytical properties in more complex modeling contexts in subsequent quantitative area teachings. They are also able to produce sound empirical analyzes and forecasts.

Educational objectives

Learning goals
Working knowledge of the main models of international economics and international finance.

Knowledge and understanding.
Upon successful completion of the course, students will be able to analyse actual economic problems in terms of competing theories and models.

Applying knowledge and understanding.
Upon successful completion of the course, students will be able to understand the explicit and implicit hypotheses informing the main economic policy proposals in the current debate.

Making judgements.
The course is explicitly based on the principle of methodological and theoretical pluralism.
Students will be introduced to at least two competing models for each economic problem considered, and will understand the criteria with which to personally choose their favorite interpretation.

Communication skills.
Through study and hands-on sessions, students will become proficient in the jargon and technical language of the discipline, which they must use in both written and oral examinations.

Learning skills.
Students that successfully complete the course will have learnt a method of analysis that will allow them to tackle and understand the main economic issues of today, both in subsequent economic courses and in the fruition and participation to the public debate.

Educational objectives

This course can be chosen by the student within the Sapienza courses as long as consistent with the curriculum.

Educational objectives

Learning goals
To provide an understanding of derivatives contracts and the models used to price them. The arbitrage theorem and the modern financial theory represent the building blocks for the model development and understanding

Knowledge and understanding
It is expected the learning of the basic elements of classical mathematical finance to understand how financial markets work and how complex financial insruments can be assessed. The ability of the autonomous use of the financial techniques in several activities and works in this sector are also expected, as well as making autonomous judgements ability, learning and communication abilities.

Applying knowledge and understanding
Each theoretical concept will be applied to real cases. Students will be assessed according to their ability to solve specific problems.

Making judgements
Each student will be required to download real market data and validate the pricing models used for option contracts or futures and he will be able to validate his/her ability to do so.

Communication skills
Each student will be required to present the application of studied methodologies to solve a real problem.

Learning skills.
The learned concepts will be tested having each student to undertake a final exam.

Educational objectives

Learning goals.
Main goal is the ability to conduct a statistically correct analysis and a forecasting exercise in all cases where time a fundamental feature of the analysed data.

Knowledge and understanding.
Demonstrate knowledge and understanding ability that extend those typical of the course of time series of the first degree, and allow also to develop original forecast proposal, on integrating different methodologies.

Applying knowledge and understanding.
Solving complex problem related to the time dynamics of several phenomena measured on different scales and with different methods.

Making judgements.
Ability to integrate knowledge and perform analysis of complex phenomena integrating different methodologies, also in presence of limited, incomplete or biased information.

Communication skills.
Communicate the results of a deep statistical analysis, illustrating the main steps and motivation also to non-specialst audience.

Learning skills.
To study in a self-managed and autonomous fashion.

Educational objectives

Learning goals
Aim of the course is to explore the role of financial systems in the economic development process. Lectures will deal with topics related to the deepening, outreach, efficiency and stability of financial systems. The focus will be on applied and policy-oriented research, which can serve as basis for public policy discussions on the financial system issues, especially in developing and emerging markets.

Knowledge and understanding
Knowledge of the basic concepts and of the main theories elaborated in the field. Historical perspective and awareness of the existence of different interpretative positions.

Applying knowledge and understanding
At the end of the course students are able to formalize problems and to apply the specific methods of the discipline to solve them. They are also able to link methods to short-term data.

Making judgements
Students develop critical skills through the application of the same methodology to a wide range of economic models, which are affected by different theoretical approaches.

Communication skills
Students, through the study, acquire the technical-scientific language of the discipline, which must be appropriately used both in written and oral exams.

Learning skills
Students who pass the exam have learned a method of analysis that allows them to tackle the study of more complex models in economics.

Educational objectives

Learning goals
The main goal is acquiring advanced modelling techniques for mutivariate economic data. Students are expected to understand the theoretical foundations of the methods studied and to apply them to real datasets.

Knowledge and understanding
The focus of the course will on the Vector Autoregressive (VAR) model in stationary and non stationary settings, using both asymptotic and simulation (bootstrap) inference

Applying knowledge and understanding
After the course students will be able to specify a VAR model, evaluate if is adequate to the dataset of interest , use for estimating causal relationship and formatulate forecasts

Making judgements
Learning how to judging the adequacy of the models and assessing the uncertainty of the estimated relationships and forecasts will be an essential part of the course

Communication skills
Learning to communicate the results of the estimation process both in oral and written form will be an essential part of the course

Learning skills
The models object of the course are essential parts of the most advanced and complex models used in quantitative economic analysis, which the students will then be able to tackle."

Educational objectives

To allow the student to the writing of an original text that represents the sum of the specialized knowledge achieved during the course of his study.