Abstract
In this paper we derive robust super-and subhedging dualities for contingent claims that can depend on several underlying assets. In addition to strict super-and subhedging, we also consider relaxed versions which, instead of eliminating the shortfall risk completely, aim to reduce it to an acceptable level. This yields robust price bounds with tighter spreads. As examples we study strict super-and subhedging with general convex transaction costs and trading constraints as well as risk-based hedging with respect to robust versions of the average value at risk and entropic risk measure. Our approach is based on representation results for increasing convex functionals and allows for general -nancial market structures. As a side result it yields a robust version of the fundamental theorem of asset pricing.
Original language | English (US) |
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Pages (from-to) | 738-765 |
Number of pages | 28 |
Journal | SIAM Journal on Financial Mathematics |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - 2017 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Numerical Analysis
- Finance
- Applied Mathematics
Keywords
- Risk measures
- Robust fundamental theorem of asset pricing
- Robust price bounds
- Subhedging
- Superhedging
- Trading constraints
- Trans-action costs