SubjectsSubjects(version: 996)
Course, academic year 2026/2027
   
Advanced Microeconomics - JEM215
Title: Advanced Microeconomics
Form of teaching: lecture+practicals
Guaranteed by: Institute of Economic Studies (23-IES)
Faculty: Faculty of Social Sciences
Actual: from 2025
Duration in semesters: 1
Semester: winter
E-Credits: 9
Examination process: winter s.:
Hours per week, examination: winter s.:2/2, Ex [HT]
Capacity: 180 / 180 (185)
Maximum number of enrolled students: 185
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Repeated enrollment: 2 / 2 / 1 / 2
Note: course can be enrolled in outside the study plan
enabled for web enrollment
priority enrollment if the course is part of the study plan
Guarantor: doc. PhDr. Martin Gregor, Ph.D.
Teacher(s): doc. PhDr. Martin Gregor, Ph.D.
Armaz Shotadze
Class: Courses for incoming students
Incompatibility : JEM003
Is incompatible with: JEM003
Annotation
The course covers the foundations and key topics of the economics of information (adverse selection, moral hazard, signaling, and strategic communication), with applications primarily in financial economics.
Last update: Gregor Martin, doc. PhDr., Ph.D. (24.09.2026)
Aim of the course

The course provides tools to analyze asymmetric information and other information frictions in markets, companies, and organizations. Main applications are in corporate finance (credit rationing, pecking-order capital structure, security design, IPOs, market responses to seasoned equity offerings), financial markets (microstructure, credit ratings), and financial reporting (earnings management and disclosures). We also briefly cover applications of recent topics, such as information design and heterogeneous priors, in financial economics.

Last update: Gregor Martin, doc. PhDr., Ph.D. (24.09.2026)
Literature

Main sources

Foucault, T., Pagano, M., Röell, A. (2013). Market Liquidity: Theory, Evidence, and Policy. Oxford University Press. (FPR)

Liang, A. (2024) Information and Learning in Economic Theory. Available at: https://anniehliang.com/#teaching (AL)

Tadelis, S. (2013). Game Theory: An Introduction. Princeton University Press, Chapters 12 and 15. (ST)

Tirole, J. (2010). The Theory of Corporate Finance. Princeton University Press. Chapters 3 and 6. (JT)

 

Readings

Acharya, V. V., DeMarzo, P., Kremer, I. (2011). Endogenous information flows and the clustering of announcements. American Economic Review, 101(7), 2955-2979.

Birchler, U., Bütler, M. (2007). Information Economics. Routledge.

Allen, F., Barbalau, A. (2024). Security design: A review. Journal of Financial Intermediation, 60, 101113.

Bolton, P., Dewatripont, M. (2005). Contract Theory. Cambridge: MIT Press. Chapters 2-5.

Dybvig, P. H., Zender, J. F. (1991). Capital structure and dividend irrelevance with asymmetric information. The Review of Financial Studies, 4(1), 201-219.

Gregor, M., Michaeli, B. (2025). Board bias, information, and investment efficiency. Review of Accounting Studies, 30(2), 1432-1462.

Guttman, I., Kadan, O., Kandel, E. (2006). A rational expectations theory of kinks in financial reporting. The Accounting Review, 81(4), 811-848.

Holmström, B. (1999). Managerial incentive problems: A dynamic perspective. The Review of Economic Studies, 66(1), 169-182.

Jann, O., Schottmüller, C. (2024). Notes on Information Economics. Mimeo. 

Jehle, G. A., Reny, P. (2011). Advanced Microeconomic Theory. Pearson Education. Especially Chapter 8. (JR)

Kreps, D. M. (2023). Microeconomic Foundations II: Imperfect Competition, Information, and Strategic Interaction. Princeton University Press. Especially Chapter 20.

Morris, S., Shin, H. S. (2002). Social value of public information. American Economic Review, 92(5), 1521-1534.

Last update: Gregor Martin, doc. PhDr., Ph.D. (24.09.2026)
Teaching methods

Lectures, Tutorials, Assignments, Exams

You are allowed to use AI tools such as ChatGPT, Copilot, Claude, or similar technologies to consult on the course materials. You are encouraged to consult the AI tools about related work in economics and finance.

You are not allowed to use AI tools to create a solution for your assignments, but you can consult and review materials from classes that are relevant to the assignment with the AI. I strongly discourage you from skipping the process of creating your own solution from your knowledge to prepare well for the pen-and-paper midterm and final exams.

Last update: Gregor Martin, doc. PhDr., Ph.D. (24.09.2026)
Syllabus

Content

I Foundations of Information

Probability Space

Common Knowledge

Bayesian Updating for Binary and Gaussian Information

 

II Games with Incomplete Information

Static Games of Incomplete Information

Bayesian Nash Equilibrium

Application: Financial Markets as Beauty Contests (Morris and Shin, 2002)

Dynamic Games of Incomplete Information

Perfect Bayesian Equilibrium

Separating and Pooling Equilibria

Intuitive Criterion

 

III Asymmetric Information in Corporate Finance

a) Adverse Selection in Corporate Finance

Model 1: Credit Contracts and Cyclical Investments

Unlimited Liability and Collateral

Model 2: Seasoned Equity Offerings

Equity Dilution

b) Signaling in Corporate Finance

Model 3: Security Design with Own Wealth

Underpricing in IPOs

Evidence on Signaling in Mortgage Markets (Adelino, Gerardi, and Hartman-Glaser, 2019)

 

IV Incentive Contracting

a) Moral Hazard in Corporate Finance

Agency Cost

Credit Rationing

b) Security Design and Optimal Capital Structure

Pecking-Order Hypothesis

(Own) Capital Requirements: Empirical Effects

 

V Asymmetric Information in Financial Markets

Bid-Ask Spreads

Liquidity and Price Discovery

 

VII Extra Topics

a) Beyond Rational Expectations

Heterogeneous Priors

Application: Subordinate Debt (Birchler and Bütler, 2007)

b) Information Design

Application: Investment Efficiency

Last update: Gregor Martin, doc. PhDr., Ph.D. (24.09.2026)
Course registration requirements

No entry requirements for Master students of Economics and Finance.

Last update: Gregor Martin, doc. PhDr., Ph.D. (22.09.2025)
 
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