| MQGE0007-1 | |||||||||||||||||
| Financial Mathematics and Stochastic Calculus | |||||||||||||||||
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Duration :
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| 30h Th | |||||||||||||||||
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Number of credits :
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Lecturer :
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| Louis Esch | |||||||||||||||||
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Language(s) of instruction :
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| English language | |||||||||||||||||
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Organisation and examination :
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| Teaching in the second semester | |||||||||||||||||
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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | |||||||||||||||||
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Course contents :
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| The bases of probability theory and stochastic processes are introduced. Then, two famiiles of applications are presented : - Continuious time stochastic finance (stochastic calculus, option pricing models, interest rate models) ; - Risk theory in non-life insurance (compound Poisson process, collective risk process, ruin probability, tarification principles). | |||||||||||||||||
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Learning outcomes of the course :
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- Give the rigorous mathematical bases of stochastic processes and stochastic calculus.
- Apply these bases to some financial and actuarial models.
Intended Learning Outcomes addressed by the course :
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Prerequisite knowledge and skills :
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| - Basic probability theory ; - Financial securities (interest rates, derivatives). | |||||||||||||||||
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Planned learning activities and teaching methods :
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Mode of delivery (face-to-face ; distance-learning) :
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| face-to-face | |||||||||||||||||
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Recommended or required readings :
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| - KAAS R., GOOVAERTS M., DHAENE J., DENUIT M., Modern actuarial risk theory, Kluwers Academic Publishers, 2001. - KENNEDY D., Stochastic financial models, Chapman & Hall, 2010. - MIKOSCH T., Elementary stochastic calculus with finance in view, World Scientific, 1998. These readings are recommended, not required | |||||||||||||||||
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Assessment methods and criteria :
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| Written exam. | |||||||||||||||||
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Work placement(s) :
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Organizational remarks :
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Contacts :
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| Louis Esch HEC-Ecole de gestion de l'Université de Liège (bâtiment N1) Tél : 04/232.73.00 e-mail : louis.esch@ulg.ac.be | |||||||||||||||||
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Items online :
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![]() | syllabus slides |
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