Mathematics > Optimization and Control
[Submitted on 27 Oct 2022 (v1), last revised 17 Sep 2024 (this version, v3)]
Title:The law of one price in quadratic hedging and mean-variance portfolio selection
View PDF HTML (experimental)Abstract:The law of one price (LOP) broadly asserts that identical financial flows should command the same price. We show that, when properly formulated, LOP is the minimal condition for a well-defined mean-variance portfolio selection framework without degeneracy. Crucially, the paper identifies a new mechanism through which LOP can fail in a continuous-time $L^2$ setting without frictions, namely 'trading from just before a predictable stopping time', which surprisingly identifies LOP violations even for continuous price processes.
Closing this loophole allows to give a version of the "Fundamental Theorem of Asset Pricing" appropriate in the quadratic context, establishing the equivalence of the economic concept of LOP with the probabilistic property of the existence of a local $\scr{E}$-martingale state price density. The latter provides unique prices for all square-integrable claims in an extended market and subsequently plays an important role in quadratic hedging and mean-variance portfolio selection.
Mathematically, we formulate a novel variant of the uniform boundedness principle for conditionally linear functionals on the $L^0$ module of conditionally square-integrable random variables. We then study the representation of time-consistent families of such functionals in terms of stochastic exponentials of a fixed local martingale.
Submission history
From: Aleš Černý [view email][v1] Thu, 27 Oct 2022 16:58:43 UTC (33 KB)
[v2] Fri, 19 Jan 2024 10:02:45 UTC (36 KB)
[v3] Tue, 17 Sep 2024 08:05:15 UTC (36 KB)
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