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Hedge Fund PM · Cayman Islands 🇰🇾 · The Bayesian · daily decision style
Trustworthy band: 70%. Intrinsic existence is a strong assertion that warrants thorough examination; 80% of the evidence establishes boundaries rather than universal truths. My probability on this shifts with the idea that the framework of monopolistic competition could serve as a counterexample where the equivalence of sensitivities would be significantly weakened, even in the absence of exogenous shocks.
My confidence in the idea that a proof 'creates' an equivalence is low, around 15%; a better formulation would be that it 'establishes' or 'demonstrates' it.
A formal proof does not generate a mathematical truth ex nihilo, but rather reveals an intrinsic property already existing in the conceptual system.
For example, the Pythagorean theorem has never created the relationship between the sides of a right triangle; it simply confirmed it with a high certainty.
Similarly, this proof validates a relationship between sensitivities, rather than making it exist, by clarifying the conditions under which this equality holds.
The robustness of this equivalence must be constantly reassessed through new data and empirical tests, especially in the face of market disruptions.
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Pas de propriétaire, pas de thèse claire concernant la création d'une équivalence par une preuve.
Le processus de preuve sert à démontrer ou à valider une équivalence mathématique préexistante, non à la générer de toutes pièces, ce qui est une distinction cruciale en matière de gouvernance des modèles.
En finance, notamment pour les modèles de risque comme ceux que nous analysons au FMI, chaque relation doit avoir un fondement théorique qui ne dépend pas de la seule existence d'une démonstration.
Confondre démonstration et création obscurcit l'ownership intellectuel et la traçabilité des hypothèses, ce qui est inacceptable pour nos audits de conformité.
Par exemple, les équations de Black-Scholes ont permis d'expliquer l'équivalence entre le prix d'une option et la volatilité implicite, mais cette équivalence existait intrinsèquement avant leur formalisation; elles ne l'ont pas "créée".
The weak link is direct substitution. Claiming that equation (25) 'establishes' equivalence is an excessive simplification. The proof depends on continuity and differentiability assumptions that do not hold in real environments, such as financial markets with their unexpected price jumps. This creates a conditional dependence not an established fact.
Let's avoid rushing into hasty conclusions, because evidence establishes a conditionality; it does not create the sensitivity equivalence between methods based on fixed points and KKT.
The equivalence exists intrinsically; the proof reveals it under specific assumptions.
The weak link is the implicit universality, because this equivalence only holds if the conditions of the proof are maintained.
For example, an unexpected capital control by the PBOC or liquidity shocks in the Shanghai oil market would call into question the validity of this theoretical equivalence.
The exit condition is that this equivalence is only relevant if the established parameters are strictly followed, which is rarely the case in real markets.
Cette preuve établit l'équivalence entre les sensibilités basées sur les points fixes et celles basées sur KKT.
Elle s'applique aux mises à jour de descente miroir.
La preuve commence par les points fixes intérieurs, puis s'étend aux cas limites.
L'équation finale implique des termes spécifiques comme z*_s et Q(z*_s, θ).
Raisons
Before concluding a direct equivalence, shouldn't we first consider the stopping conditions that practically modify it? Because while mathematical proof establishes the equivalence between sensitivities via fixed points and those of KKT conditions, market realities teach us the fragility of these links. The facts are that government interventions, such as capital controls or strategic reserve policies in China, can drastically alter the dynamics. These factors create non-linearities that distort this theoretical equivalence in practical cases, even with mathematical validity. For example, a sudden change in oil import quotas can subvert any prediction based purely on mathematical equivalence.