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50788-01 - Lecture: Computational Finance & AI (3 CP)
| Semester | spring semester 2025 |
| Course frequency | Every spring sem. |
| Lecturers | Dietmar Maringer (dietmar.maringer@unibas.ch, Assessor) |
| Content | Computing is an indispensable part of finance: in pricing financial instruments such as derivatives, managing portfolios and running trading strategies, in risk management and data analysis. This course introduces students to computational tools and methods used in finance. Topics include: *) modelling and simulation: efficient implementations of deterministic and non-deterministic models (pricing trees, Monte Carlo methods, artificial markets, agent-based models) *) trading and portfolios (single and multi period, rebalancing strategies, backtesting) *) machine learning and AI (algorithmic trading, ML-based asset pricing, learning and self-adaptation) The course will be hands on, with the better part of lectures dealing with the implementation of techniques and models. |
| Learning objectives | Being able to implement financial models using Python, and being able to solve quantitative problems in finance. |
| Bibliography | There is no designated textbook; useful resources include: *) M Gilli, D Maringer, E Schumann, Numerical Methods and Optimization in Finance, 2nd edition, Academic Press 2019. *) A Arratia, Computational Finance: An Introductory Course with R, Atlantis Press 2012. *) P Brandimarte, Numerical Methods in Economics and Finance, Wiley, 2nd ed, 2006. *) P Brandimarte, Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics, Wiley 2014. *) K Cuthbertson and D Nitzsche, Quantitative Financial Economics, Wiley, 2nd ed., 2004. *) JC Duan, WK Härdle, JE Gentle (eds), Handbook of Computational Finance, Springer 2014. *) G Fusai, A Roncoroni, Implementing Models in Quantitative Finance: Methods and Cases, Springer 2008. *) P Glasserman, Monte Carlo Methods in Finance and Engineering, Springer 2003. Specific recommendations and additional literature to be announced during the course. |
| Comments | *) Throughout the course, we will use Python to implement methods and concepts, and perform experiments. Participants are expected to have at least a basic knowledge of programming as taught in "58989-01 Computing for Business and Economics". |
| Weblink | Weblink |
| Admission requirements | *) Solid knowledge of financial theory. *) Solid background in quantitative methods (in particular statistics/econometrics and empirical finance). |
| Course application | Registration: Please enroll in the Online Services (services.unibas.ch); Eucor-Students and mobility students of other Swiss Universities or the FHNW first have to register at the University of Basel BEFORE the start of the course and receive their login data by post (e-mail address of the University of Basel). Processing time up to a week! Detailed information can be found here: https://www.unibas.ch/de/Studium/Mobilitaet.html After successful registration you can enroll for the course in the Online Services (services.unibas.ch). Applies to everyone: Enrolment = Registration for the course and the exam! A deregistration is possible by email to belegungstorno-wwz@unibas.ch by April 28, 2025 at the latest, stating the course number, title and your matriculation number. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Thursday | 14.15-18.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
Dates
| Date | Time | Room |
|---|---|---|
| Thursday 10.04.2025 | 14.15-18.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
| Friday 11.04.2025 | 14.15-18.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
| Thursday 24.04.2025 | 14.15-18.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
| Friday 25.04.2025 | 14.15-18.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
| Thursday 08.05.2025 | 14.15-18.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
| Friday 09.05.2025 | 14.15-18.00 | Wirtschaftswissenschaftliche Fakultät, Grosses PC-Labor S18 HG.37 |
| Modules |
Module: Core Courses in Finance and Money (Master's Studies: Finance and Money) Module: Field Electives in Economics and Public Policy (Master's Studies: Economics and Public Policy) Module: Field Electives in Finance and Money (Master's Studies: Finance and Money) Module: Risk Analysis (Master's Studies: Actuarial Science) Module: Specific Electives in Business and Economics (Master's Studies: Business and Economics) Module: Specific Electives in Data Science and Computational Economics (Master's Studies: Business and Economics) |
| Assessment format | record of achievement |
| Assessment details | Combination of active participation, assignment(s), and a final written exam. written exam: tbd |
| Assessment registration/deregistration | Reg.: course registr.; dereg.: Office of the Dean of Studies |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,1 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Business and Economics , studiendekanat-wwz@unibas.ch |
| Offered by | Faculty of Business and Economics |