We study the Fundamental Theorem of Asset Pricing for a general financial market under Knightian Uncertainty. We adopt a functional analytic approach which requires neither specific assumptions on the class of priors P nor on the structure of the state space. Several aspects of modeling under Knightian Uncertainty are considered and analyzed. We show the need for a suitable adaptation of the notion of No Free Lunch with Vanishing Risk and discuss its relation to the choice of an appropriate technical filtration. In an abstract setup, we show that absence of arbitrage is equivalent to the existence of approximate martingale measures sharing the same polar set of P. We then specialize our results to a discrete-time financial market in order to obtain martingale measures.

Arbitrage-free modeling under Knightian uncertainty / M. Burzoni, M. Maggis. - In: MATHEMATICS AND FINANCIAL ECONOMICS. - ISSN 1862-9679. - (2020). [Epub ahead of print] [10.1007/s11579-020-00267-w]

Arbitrage-free modeling under Knightian uncertainty

M. Burzoni
Primo
;
M. Maggis
Ultimo
2020

Abstract

We study the Fundamental Theorem of Asset Pricing for a general financial market under Knightian Uncertainty. We adopt a functional analytic approach which requires neither specific assumptions on the class of priors P nor on the structure of the state space. Several aspects of modeling under Knightian Uncertainty are considered and analyzed. We show the need for a suitable adaptation of the notion of No Free Lunch with Vanishing Risk and discuss its relation to the choice of an appropriate technical filtration. In an abstract setup, we show that absence of arbitrage is equivalent to the existence of approximate martingale measures sharing the same polar set of P. We then specialize our results to a discrete-time financial market in order to obtain martingale measures.
Arbitrage theory; First fundamental theorem of asset pricing; Knightian uncertainty; Quasi-sure analysis;
Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
2020
9-giu-2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/742348
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