Admissible Information Structures, Immersion, and the Order of Non-Anticipative Aggregation

By Alejandro Rodriguez Dominguez

Rating

1465
Battle Count: 62

Relevance

5/10
The paper addresses foundational questions about information structures in asset pricing that underpin quantitative trading. The key insight that non-anticipativity fails to aggregate at order three (with masking dependence) has implications for multi-signal trading strategies: combining individually valid information sources can create hidden anticipativity. The distinction between information-admissibility failure (immersion) and no-arbitrage failure (NUPBR/ELMM) is practically relevant for understanding when enlarged information sets remain tradeable. However, the paper is purely theoretical with no direct algorithmic or implementation guidance, limiting its immediate practical applicability.

Implementation Complexity

9/10
The paper requires deep expertise in stochastic calculus, filtration theory, martingale theory, and measure-theoretic probability. Understanding the masking construction, immersion preservation, and the Girsanov-type measure changes requires graduate-level mathematical finance knowledge. There is no computational implementation to reproduce; the 'complexity' lies entirely in the mathematical sophistication of the proofs and concepts. The correction of the earlier version adds a layer of subtlety requiring careful reading of both versions.

Reproducibility

4/5
The paper is a pure theoretical mathematics paper with complete proofs for all stated theorems and propositions. All mathematical arguments are self-contained within the paper. Reproducibility depends on the reader's ability to verify stochastic calculus proofs. The correction of the earlier version (arXiv:2601.12541v1) is explicitly documented. No computational experiments or code are involved. The key constructions (masking relation with Rademacher variables, independent driver setup) are fully specified.

About this paper

Methodology: Stochastic Calculus and Filtration Theory. Problem types: No-Arbitrage Theory, Asset Pricing, Information Structure Analysis, Filtration Enlargement, Causal Inference (qualitative).

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