Specific learning outcomes of the degree

K1  Describe the basic operating principles of the economy at the micro- and macroeconomic level for business management.
• K1  - Describe the basic operating principles of the economy at the micro- and macroeconomic level for business management.
  K1  - K1.3 Explain how a competitive economy operates and the consequences it has for the welfare of society.
  • K1.3 - Explain how a competitive economy operates and the consequences it has for the welfare of society.
SE8 Analyse the relations between institutions, markets and financial assets, and their economic environments.
• SE8 - Analyse the relations between institutions, markets and financial assets, and their economic environments.
  SE8 - SE8.4 Analyse the various fixed- and variable-income assets that are issued, bought and sold on the Spanish financial markets.
  • SE8.4 - Analyse the various fixed- and variable-income assets that are issued, bought and sold on the Spanish financial markets.

Transversal learning outcomes of the degree

ST2 Solve problems in a critical, creative and innovative way in their field of study
• ST2 - Solve problems in a critical, creative and innovative way in their field of study
  ST2 - ST2.1 Use a systematic method to solve problems in the field of the discipline (identify the problem, divide it into parts, identify its causes and apply knowledge specific to the discipline)
  • ST2.1 - Use a systematic method to solve problems in the field of the discipline (identify the problem, divide it into parts, identify its causes and apply knowledge specific to the discipline)
  ST2 - ST2.2 Design a new solution with the necessary resources for solving the problem
  • ST2.2 - Design a new solution with the necessary resources for solving the problem
  ST2 - ST2.3 Make a realistic model with the specific items of the solution proposed and reflect on the model
  • ST2.3 - Make a realistic model with the specific items of the solution proposed and reflect on the model

1. STATIC GAMES
1. Representation of a game in normal form
2. Rationality and information
3. Solutions to static games
4. Mixed strategies

2. DYNAMIC GAMES
1. Representation of a game in extensive form
2. Solutions to dynamic games
3. Repeated games
3. MONOPOLY

1. Concept and causes of monopoly
2. Profit maximization of a monopolist
3. Comparison between monopoly and perfect competition: the social cost of monopoly
4. Natural monopoly
5. Price discrimination

4. OLIGOPOLY

1. Cournot duopoly model
2. Collusion
3. Cartel stability
4. Stackelberg duopoly model
5. Barriers to entry
6. Bertrand duopoly model

5. CHOICE UNDER UNCERTAINTY

1. Expected utility theory
2. Risk aversion
3. Insurance markets

6. ASYMMETRIC INFORMATION

1. Moral hazard
2. Adverse selection
3. Signaling
4. Principal-agent problem

Other observations:

If the student pass the first call final exam, the final mark will be the weighted average of the mark of the final exam (60%) and the mark of  the continuing assessment (10%(Seminars/Active Participation)+2x15%(2 Tests) = 40%).

If the student does not pass the first call final exam, the final mark will be the mark of the final exam.

USE OF ARTIFICIAL INTELLIGENCE TOOLS AND VERIFICATION PROCEDURES

The use of artificial intelligence tools must strictly comply with the instructions given by the teaching staff and, in all cases, must be declared. Their unauthorized, excessive, or undeclared use in the completion of assessment activities is contrary to the principles of academic integrity and will result in a failing grade for the activity, without prejudice to the application of other disciplinary measures in accordance with the Academic Regulations for Bachelor’s and Master’s Degrees and the URV Student Disciplinary Regulations.

The teaching staff may, at any time, establish complementary mechanisms to verify authorship and to require the oral defense or explanation of the submitted activities and/or assessment tasks.

Second call:

The second call exam has a weight of 100% of the final mark.

USE OF ARTIFICIAL INTELLIGENCE TOOLS AND VERIFICATION PROCEDURES

The use of artificial intelligence tools must strictly comply with the instructions given by the teaching staff and, in all cases, must be declared. Their unauthorized, excessive, or undeclared use in the completion of assessment activities is contrary to the principles of academic integrity and will result in a failing grade for the activity, without prejudice to the application of other disciplinary measures in accordance with the Academic Regulations for Bachelor’s and Master’s Degrees and the URV Student Disciplinary Regulations.

The teaching staff may, at any time, establish complementary mechanisms to verify authorship and to require the oral defense or explanation of the submitted activities and/or assessment tasks.

Basic bibliography

• ( Book ) Nicholson, Walter., Teoría microeconómica : principios básicos y aplicaciones , cop. 2004 Access to the CRAI
• ( Book ) Varian, Hal R. / Rabasco, Esther, trad., Microeconomía intermedia : un enfoque actual , DL 2015 Access to the CRAI
• ( Book ) Giménez Gómez, José M. / Llop Llop, Maria, autor / Manzano, Carolina, autor, Problemas resueltos de microeconomía intermedia , 2019 Access to the CRAI
• ( Book ) Pindyck, Robert S. / Rubinfeld, Daniel L., autor, Pindyck, Robert S., Microeconomics. Castellà
  Microeconomía , 2018 Access to the CRAI

Complementary bibliography

• ( Book ) Gravelle, Hugh. / Rees, Ray., Microeconomía , cop. 2006 Access to the CRAI