Can You hear the Shape of a Market? Geometric Arbitrage and Spectral Theory
Simone Farinelli, Hideyuki Takada

TL;DR
This paper introduces a geometric framework for financial markets using spectral theory, linking arbitrage conditions to the spectral properties of a connection Laplacian, and explores topological obstructions to no-arbitrage conditions.
Contribution
It develops a novel geometric and spectral approach to arbitrage theory, extending classical results to markets with arbitrage and identifying topological obstructions to no-arbitrage.
Findings
Market arbitrage conditions relate to the zero eigenvalue of the connection Laplacian.
Topological invariants like Euler characteristic obstruct the (NFLVR) condition.
Asset bubbles are characterized and classified within this geometric framework.
Abstract
Geometric Arbitrage Theory reformulates a generic asset model possibly allowing for arbitrage by packaging all assets and their forwards dynamics into a stochastic principal fibre bundle, with a connection whose parallel transport encodes discounting and portfolio rebalancing, and whose curvature measures, in this geometric language, the 'instantaneous arbitrage capability' generated by the market itself. The cashflow bundle is the vector bundle associated to this stochastic principal fibre bundle for the natural choice of the vector space fibre. The cashflow bundle carries a stochastic covariant differentiation induced by the connection on the principal fibre bundle. The link between arbitrage theory and spectral theory of the connection Laplacian on the vector bundle is given by the zero eigenspace resulting in a parametrization of all risk neutral measures equivalent to the…
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Advanced Topology and Set Theory
