PhD course: Characterisation of the Volatility Surface: Existence, Models, Asymptotics
31 March and 1 April 2016. Lecturer: Antoine Jacquier
Info about event
Time
Location
Aarhus BSS, Fuglesangs Allé 4, 8210 Aarhus V
Topics
Preliminaries on Implied volatility
- Existence of implied volatility.
- No-arbitrage properties of the implied volatility surface: Slope. Time asymptotics. Wing properties. Roger Lee’s moment formula.
- The SVI parameterisation.
Volatility modelling
- Local volatility: Bruno Dupire’s framework. Local volatility via local times. Implied volatility in local volatility models. Local volatility in models with jumps.
- Stochastic volatility models: The classical approach and advances such as:
- Fractional stochastic volatility model.
- Markovian projections.
- Variance curve models.
Implied volatility asymptotics
- The large deviations approach: A crash course on large deviations and the Gärtner-Ellis theorem. Small and Large maturity implied volatility asymptotics.
- Small-time asymptotics in the jump case.
- Asymptotics of the local volatility surface.
- Doing it on a path: A rough introduction to Freidlin-Venzell’s large deviations
- Connecting probability and geometry: geodesics and small noise
ECTS points: 2,5
Lecturer
Dr Antoine Jacquier, Department of Mathematics, Imperial College London
When and where
Thursday 31 March
10:15-11.30 | Lectures in room 2628/M209 |
11.30-12.00 | Coffee break |
12.00-13.15 | Lectures in room 2628/M209 |
13.15-14.15 | Lunch |
14.15-15.30 | Lectures in room 2628/M208 |
15.30-16.00 | Coffee break |
16.00-17.00 | Lectures in room 2628/M208 |
19:00-21.00 | Course dinner at a restaurant in the city centre (optional) |
Friday 1 April
09:00-10.30 | Lectures in room 2628/M209 |
10.30-11.00 | Coffee break |
11.00-12.30 | Lectures in room 2628/M209 |
12.30-13.30 | Lunch |
13.30-15.00 | Lectures in room 2628/M209 |
Registration
Participation is free, but registration is mandatory - no later than 15 March 2016 to Susanne Christensen, sch@econ.au.dk
Contact
Elisa Nicolato, eln@econ.au.dk