# ECONOMICS AND ECONOMETRICS OF INTERNATIONAL FINANCE - 2

2021/2022
Official course title
ECONOMICS AND ECONOMETRICS OF INTERNATIONAL FINANCE - 2
Course code
EM1053 (AF:358696 AR:187189)
Modality
On campus classes
ECTS credits
6 out of 12 of ECONOMICS AND ECONOMETRICS OF INTERNATIONAL FINANCE
Degree level
Master's Degree Programme (DM270)
Educational sector code
SECS-P/05
Period
4th Term
Course year
1
Where
TREVISO
Moodle
Go to Moodle page
This course aims to present the main mathematical and statistical tools necessary for the analysis of financial phenomena. In particular, the course aims to provide the student with some basic econometric concepts, necessary for the interpretation of estimates and tests related to simple linear models. During the course, practical examples are made through the use of econometric software (such as GRETL).
Knowledge and understanding skills.
Attendance and active participation in lectures together with the individual study will allow the student to acquire the following knowledge and understanding skills:
- know and use the main mathematical tools necessary to represent complex economic phenomena;
- know the mathematical techniques useful to solve and analyze the proposed models.

Ability to apply knowledge and understanding.
Through the interaction with the instructors, the tutors, and peers and through the individual study the student acquires the following abilities:
- know how to use quantitative instruments to cope with complex problems related to an economic / business environment;
- know how to choose the most appropriate technique in order to solve the concrete problem under analysis.

Judgment skills, communication skills, learning skills.
Regarding the autonomy of judgment, communication skills, and learning abilities, through the personal and group study of the concepts seen in class, the student will be able to:
- formulate rational justifications to the approach used to solve economic / business problems, understanding their relative strengths and weaknesses, by means of hypotheses, data, and models;
- know how to formulate and communicate an adequate analysis and interpretation of economic-financial data through the use of mathematical models.
Follow the requirements indicated by the Master's Degree course in Global Development and Entrepreneurship
Basic Concepts (Review of Linear Algebra and Statistics)
The Simple Linear Regression Model
The Linear Regression Model
Assumptions and Diagnostic checks
Univariate Time-Series Modelling
Brooks, C. (2019). Introductory econometrics for finance. Cambridge University Press.
Written exam with multiple-choice questions.
The answer may require some computation and/or reasoning that will have to be included in the answer.
Lecture. Slides shown in the lecture, test-banks, exercises and examples available on Moodle platform.
English
written
Definitive programme.
Last update of the programme: 10/01/2022