Competencies and objectives

 

Course context for academic year 2025-26

This is an optional course

 

 

Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2025-26

Skills/Skills

  • RA03 : Critically analyze research articles in Economics, identifying their essential contributions and weaknesses
  • RA05 : Understand how technical problems in research articles have been addressed and be able to replicate the empirical analysis and simulation experiments on which they are based
  • RA13 : Know how to apply data science techniques to real economic problems, both for research and decision-making

 

Conocimientos/Contenidos

  • RA01 : Understand the fundamental theoretical framework of economics at a rigorous formal level

 

Skills/Competences

  • RA02 : Deeply understand and apply descriptive, causal, and predictive analysis methods applied to economics
  • RA04 : Formulate relevant economic problems precisely and provide appropriate solutions using theoretical, empirical, or simulation-based analysis
  • RA06 : Master effective communication of research findings, using clear and precise approaches to convey complex information in an accessible and comprehensible way
  • RA14 : Be able to develop and learn autonomously about topics related to Economics and Data Science

 

 

 

Learning outcomes (Training objectives)

  • Understand the relationship between credit and real economic variables.
  • Analyze the impact of monetary and macroprudential policies on credit.
  • Identify empirical characteristics of financial returns.
  • Apply time series models to estimate properties of financial returns.
  • Apply machine learning techniques for investment portfolio selection.

 

 

Specific objectives stated by the academic staff for academic year 2025-26

This course provides students with the foundational theory and practical tools necessary for analyzing market risk. It focuses on models for forecasting conditional volatility and correlations, including their implementation and evaluation through backtesting techniques. These models are then applied to portfolio selection and risk management. Additionally, the course explores the relationship between financial variables—particularly credit—and real economic variables. It examines how credit influences the dynamics of financial and real crises, assessing the extent to which it amplifies, constrains, or moderates business cycle fluctuations.

 

 

General

Code: 49178
Lecturer responsible:
León Valle, Ángel Manuel
Credits ECTS: 3,00
Theoretical credits: 0,80
Practical credits: 0,40
Distance-base hours: 1,80

Departments involved

  • Dept: FOUNDATIONS OF ECONOMIC ANALYSIS
    Area: FOUNDATIONS OF ECONOMIC ANALYSIS
    Theoretical credits: 0,8
    Practical credits: 0,4
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught