Dylan Possamaï: Catalogue data in Autumn Semester 2024

Name Prof. Dr. Dylan Possamaï
FieldMathematics
Address
Professur für Mathematik
ETH Zürich, HG G 67.2
Rämistrasse 101
8092 Zürich
SWITZERLAND
Telephone+41 44 632 28 84
E-maildylan.possamai@math.ethz.ch
URLhttps://sites.google.com/site/possamaidylan/
DepartmentMathematics
RelationshipFull Professor

NumberTitleECTSHoursLecturers
401-2000-00LScientific Works in Mathematics
Target audience:
Third year Bachelor students;
Master students who cannot document to have received an adequate training in working scientifically.
0 creditsD. Possamaï
AbstractIntroduction to scientific writing for students with focus on publication standards and ethical issues, especially in the case of citations (references to works of others.)
Learning objectiveLearn the basic standards of scientific works in mathematics.
Content- Types of mathematical works
- Publication standards in pure and applied mathematics
- Data handling
- Ethical issues
- Citation guidelines
Prerequisites / NoticeDirective https://www.ethz.ch/content/dam/ethz/common/docs/weisungssammlung/files-en/declaration-of-originality.pdf
401-3913-01LMathematical Foundations for Finance Information 4 credits3V + 2UD. Possamaï
AbstractFirst introduction to main modelling ideas and mathematical tools from mathematical finance
Learning objectiveThis course gives a first introduction to the main modelling ideas and mathematical tools from mathematical finance. It mainly aims at non-mathematicians who need an introduction to the main tools from stochastics used in mathematical finance. However, mathematicians who want to learn some basic modelling ideas and concepts for quantitative finance (before continuing with a more advanced course) may also find this of interest.. The main emphasis will be on ideas, but important results will be given with (sometimes partial) proofs.
ContentTopics to be covered include

- financial market models in finite discrete time
- absence of arbitrage and martingale measures
- valuation and hedging in complete markets
- basics about Brownian motion
- stochastic integration
- stochastic calculus: Itô's formula, Girsanov transformation, Itô's representation theorem
- Black-Scholes formula
Lecture notesSee information on course homepage
Prerequisites / NoticePrerequisites: Results and facts from probability theory as in the book "Probability Essentials" by J. Jacod and P. Protter will be used freely. Especially participants without a direct mathematics background are strongly advised to familiarise themselves with those tools before (or very quickly during) the course. (A possible alternative to the above English textbook are the (German) lecture notes for the standard course "Wahrscheinlichkeitstheorie".)

For those who are not sure about their background, we suggest to look at the exercises in Chapters 8, 9, 22-25, 28 of the Jacod/Protter book. If these pose problems, you will have a hard time during the course. So be prepared.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesfostered
Method-specific CompetenciesAnalytical Competenciesassessed
Decision-makingfostered
Problem-solvingassessed
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingfostered
Critical Thinkingfostered
Integrity and Work Ethicsfostered
401-5910-00LTalks in Financial and Insurance Mathematics Information 0 credits1KB. Acciaio, P. Cheridito, D. Possamaï, J. Teichmann
AbstractResearch colloquium
Learning objective
ContentRegular research talks on various topics in mathematical finance and actuarial mathematics