Antoine Bommier: Katalogdaten im Frühjahrssemester 2019
|Name||Herr Prof. Dr. Antoine Bommier|
|Lehrgebiet||Integratives Risikomanagement und Ökonomie|
Integratives Risikomanag. und Ök.
ETH Zürich, ZUE C 11
|Telefon||+41 44 632 38 10|
|Departement||Management, Technologie und Ökonomie|
|363-0515-00L||Decisions and Markets||3 KP||2V||A. Bommier|
|Kurzbeschreibung||This course provides an introduction to microeconomics. The course is open to students who have completed an undergraduate course in economics principles and an undergraduate course in multivariate calculus. The course emphasizes the conceptual foundations of microeconomics and contains concrete examples of their application.|
|Lernziel||Microeconomics is an element of nearly every subfield in economic analysis today. Model building in economics relies on a number of fundamental frameworks, many of which are introduced for the first time in intermediate microeconomics. |
The purpose of this course is to provide MTEC master students with an introduction to graduate-level microeconomics, particularly for students considering further graduate work in economics, business administration or management science. The course provides the fundamental concepts and tools for graduate courses in economics offered at ETH and UZH.
|Inhalt||The lectures will cover consumer choice, producer theory, markets and market failure. The course will include concrete examples of the use of choice theory in applied economics.|
|Skript||The course is mostly based on the textbook by R. Serrano and A. Feldman: "A short Course in Intermediate Economics with Calculus" (Cambridge University Press, 2013)|
Another textbook of interest is "Intermediate Microeconomics: A Modern Approach" by H. Varian (Norton, 2009).
|Literatur||Exercises are available in the textbook by R. Serrano and A. Feldman on which the lecture is based ("A short Course in Intermediate Economics with Calculus", Cambridge University Press, 2013).|
More exercises can be found in the book "Workouts in Intermediate Microeconomics" by T. Bergstrom and H. Varian (Norton, 2010).
|363-1000-00L||Financial Economics||3 KP||2V||A. Bommier|
|Kurzbeschreibung||This is a theoretical course on the economics of financial decision making, at the crossroads between Microeconomics and Finance. It discusses portfolio choice theory, risk sharing, market equilibrium and asset pricing.|
|Lernziel||The objective is to make students familiar with the economics of financial decision making and develop their intuition regarding the determination of asset prices, the notions of optimal risk sharing. However this is not a practical formation for traders. Moreover, the lecture doesn't cover topics such as market irrationality or systemic risk.|
|Inhalt||The following topics will be discussed:|
Introduction to finance and investment planning; Option valuation; Arbitrage; Choice under uncertainty; Portfolio Choice; Risk sharing and insurance; Market equilibrium under symmetric information.
|Literatur||Suggesting readings: |
1) "Investments", by Z. Bodie, A. Kane and A. Marcus, for the
introductory part of the course (see chapters 20 and 21 in
2) "Finance and the Economics of Uncertainty" by G. Demange and G. Laroque, Blackwell, 2006.
3) "The Economics of Risk and Time", by C. Gollier, and
- "Intermediate Financial Theory" by J.-P. Danthine and J.B. Donaldson.
- Ingersoll, J., E., Theory of Financial Decision Making, Rowman and Littlefield Publishers.
- Leroy S and J. Werner, Principles of Financial Economics, Cambridge University Press, 2001
|Voraussetzungen / Besonderes||Basic mathematical skills needed (calculus, linear algebra, convex analysis). Students must be able to solve simple optimization problems (e.g. Lagrangian methods). Some knowledge in microeconomics would help but is not compulsory. The bases will be covered in class.|
|363-1100-00L||Risk Case Study Challenge |
Limited number of participants.
Please apply for this course via the official website (www.riskcenter.ethz.ch). Once your application is confirmed, registration in myStudies is possible.
|3 KP||2S||B. J. Bergmann, A. Bommier, S. Feuerriegel|
|Kurzbeschreibung||This seminar provides master students at ETH with the challenging opportunity of working on a real risk modelling and risk management case in close collaboration with a Risk Center Partner Company. For the Spring 2019 Edition the Partner will be Zurich Insurance Group.|
|Lernziel||Students work on a real risk-related case of a business relevant topic provided by experts from Risk Center partners. While gaining substantial insights into the risk modeling and management of the industry, students explore the case or problem on their own, working in teams, and develop possible solutions. The cases allow students to use logical problem solving skills with emphasis on evidence and application and involve the integration of scientific knowledge. Typically, the risk-related cases can be complex, cover ambiguities, and may be addressed in more than one way. During the seminar students visit the partners’ headquarters, conduct interviews with members of the management team as well as internal and external experts, and present their results.|
|Inhalt||Get a basic understanding of |
o The insurance and reinsurance business
o Risk management and risk modelling
o The role of operational risk management
Get in contact with industry experts and conduct interviews on the topic.
Conduct a small empirical study and present findings to the company
|Voraussetzungen / Besonderes||Please apply for this course via the official website (www.riskcenter.ethz.ch/education/lectures/risk-case-study-challenge-.html). Apply no later than February 15, 2019.|
The number of participants is limited to 14.
|364-0531-00L||CER-ETH Research Seminar||0 KP||2S||H. Gersbach, A. Bommier, L. Bretschger|
|Kurzbeschreibung||Forschungsseminar des Center of Economic Research CER-ETH|
|Lernziel||Verständnis der aktuell führenden Forschung in der ökonomischen Theorie, insbesondere aus dem Bereich der CER-ETH Forschung.|
|Inhalt||Referate zu aktuellen Forschungsergebnissen aus den Bereichen der CER-ETH Forschung von in- und ausländischen Gastreferierenden.|
|Voraussetzungen / Besonderes||Bitte spezielle Ankündigungen beachten.|
|364-1058-00L||Risk Center Seminar Series |
Maximale Teilnehmerzahl: 50
|0 KP||2S||A. Bommier, D. Basin, D. N. Bresch, L.‑E. Cederman, P. Cheridito, H. Gersbach, H. R. Heinimann, M. Larsson, G. Sansavini, F. Schweitzer, D. Sornette, B. Stojadinovic, B. Sudret, U. A. Weidmann, S. Wiemer, M. Zeilinger, R. Zenklusen|
|Kurzbeschreibung||This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling and governing complex socio-economic systems, and managing risks and crises. Students and other guests are welcome.|
|Lernziel||Participants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models and approaches for open problems, to analyze them with computers or other means, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level.|
|Inhalt||This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the seminar. Students and other guests are welcome.|
|Skript||There is no script, but the sessions will be recorded and be made available. Transparencies of the presentations may be put on the course webpage.|
|Literatur||Literature will be provided by the speakers in their respective presentations.|
|Voraussetzungen / Besonderes||Participants should have relatively good scientific, in particular mathematical skills and some experience of how scientific work is performed.|