Home > Department of Mathematics > Seminars > Joint Risk & Stochastics and Financial Mathematics Seminar
How to contact us

Department of Mathematics
Columbia House
London School of Economics
Houghton Street
London WC2A 2AE, UK

 

Email: maths.info@lse.ac.uk
Tel: +44(0)207 955 7732/7925
Follow us on Twitter: Twitter
Read our reserach blog:  http://blogs.lse.ac.uk/maths/
Connect with us on LinkedIn: LinkedIn
Watch our videos on YouTube: Icon of the YouTube logo

 

Click here for information on how to get to LSE using public transport and maps of the campus

Joint Risk & Stochastics and Financial Mathematics Seminar

Page Contents >

The following seminars have been jointly organised by the Risk and Stochastics Group and the Department of Mathematics. The Seminar normally takes place biweekly on Thursdays from 12.00 pm - 1.00 pm in room CLM.7.02 (Clement House, LSE), unless stated below.

The series aims to promote communication and discussion of research in the mathematics of insurance and finance and their interface, to encourage interaction between practice and theory in these areas, and to support academic students in related programmes at postgraduate level. All are welcome to attend. 

Please contact the seminar administrator on seminar@maths.lse.ac.uk for further information about any of these seminars.

Upcoming Speakers:

Thursday 24 November - Aditi Dandapani (ETH Zurich)
Strict Local Martingales and Initial Expansions of Filtrations

Beginning with a non negative model following a stochastic differential equation with stochastic volatility, we show how a strict local martingale might arise from a true martingale as a result of an enlargement of the underlying filtration. More precisely, we implement a particular type of enlargement, an "initial expansion" of the filtration, for various kinds of stochastic differential equation models, and we provide sufficient conditions such that this expansion can turn a martingale into a strict local martingale. Applications of our work include the modeling and detection of financial bubbles. For example, one might postulate that a bubble arises as a result of the arrival of new information, which we can model via an enlargement of the filtration.

Thursday 8 December - TBC

Friday 24 February - Agostino Capponi (Columbia)
Change to usual venue: CLM.2.05, Clement House, LSE
Title and abstract TBC


Previous Seminars:

Share:Facebook|Twitter|LinkedIn|