Coherent Price Systems and Uncertainty-Neutral Valuation
arXiv:1202.6632
Abstract
We consider fundamental questions of arbitrage pricing arising when the uncertainty model is given by a set of possible mutually singular probability measures. With a single probability model, essential equivalence between the absence of arbitrage and the existence of an equivalent martingale measure is a folk theorem, see Harrison and Kreps (1979). We establish a microeconomic foundation of sublinear price systems and present an extension result. In this context we introduce a prior dependent notion of marketed spaces and viable price systems. We associate this extension with a canonically altered concept of equivalent symmetric martingale measure sets, in a dynamic trading framework under absence of prior depending arbitrage. We prove the existence of such sets when volatility uncertainty is modeled by a stochastic differential equation, driven by Peng's G-Brownian motions.
References in corpus (8)
- A theoretical framework for the pricing of contingent claims in the presence of model uncertainty
- G-Brownian Motion and Dynamic Risk Measure under Volatility Uncertainty
- Random G-expectations
- Girsanov's formula for G-Brownian motion
- Sublinear Expectations and Martingales in discrete time
- Dynamic risk measuring under model uncertainty: taking advantage of the hidden probability measure
- Ambiguous Volatility, Possibility and Utility in Continuous Time
- Financial markets with volatility uncertainty