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Integrating Oscillations: Filon vs Levin

Two classical methods for oscillatory integrals that beat the O(omega)-points curse — compared against an exact solution, with the log-error plot to prove it.

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The Itô Integral: A Running Bet You Fix Before the Flip

Why the naive guess for the Itô integral is wrong, and the correction that makes stochastic calculus honest.

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The Stagflation Trap: Optimal Monetary Policy as an HJB Problem

A linear-quadratic HJB model that makes the stagflation trap mathematically precise: why a persistent supply shock forces the optimal steady state away from zero inflation and zero output gap simultaneously.

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De Rerum Stochástica: Lucretius’s Random Swerve and the Birth of SDEs

Epicurus added the clinamen — a random, uncaused swerve — to save atomism from determinism. Two thousand years later, it became the diffusion term in every SDE ever written.

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From Plasma to Game Theory: The Unlikely Journey of an SDE

McKean-Vlasov SDEs emerged from plasma physics in the 1960s. Mean field games arrived from economics in 2006. They converged on the same equation from opposite directions.

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Markov Chains in Supermarket Management

How Markov chains model checkout queues and customer flow — and what the stationary distribution tells a supermarket manager about staffing and store layout.

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Kelly, the Growth-Optimal Portfolio, and the Benchmark Approach to Option Pricing

The Kelly criterion and Black-Scholes option pricing are the same mathematical object viewed from different angles. Both lead to the growth-optimal portfolio — Platen's benchmark — which prices derivatives under the real-world measure without requiring a risk-neutral one.

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The Kelly Criterion — Why the Optimal Strategy Is Never Used

A 60/40 coin. A provably optimal betting strategy. And almost nobody uses it. Kelly's 1956 result is one of the few places in finance where the correct answer is known and rationally ignored.

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The Bookmaker’s Measure: Kelly, Martingale, and the Price of an Edge

The bookmaker is not running a gambling operation. They are constructing a risk-neutral measure. Understanding that changes everything about how you think about betting strategies — including why Martingale fails even when you have edge.

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Four Historical Decisions an ABM Would Have Changed

Smoot-Hawley was not unique. From Versailles to Vietnam to Stalin's grain quotas to the Maginot Line — the same pattern recurs. A model that forgets the other agents in the system.

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The Trade War Nobody Chose: Smoot-Hawley and the Model That Would Have Stopped It

In 1930, a thousand economists begged Hoover not to sign the Smoot-Hawley tariff. He signed it anyway. An agent-based model would have shown exactly what happened next — before it happened.

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CAD 530 a Month: What Your Car Insurance Premium Actually Pays For

A friend bought a Ford F-150 in Ontario. The insurance quote came in at 530 dollars a month. I built a mathematical model to find out how much of that is justified.

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Langevin Dynamics and Why They Matter in Finance

The Langevin equation was written to describe a particle in a fluid. It turns out to be exactly the right language for interest rates, volatility, and forward curves.

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Two Worlds, One Price: Entropy and the Risk-Neutral Measure

The change of measure at the heart of derivative pricing is an exponential tilt of the real-world probability measure — identical in structure to the Boltzmann distribution. The cost of that tilt is relative entropy.

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