Monte Carlo Pricing, Error Bars Included
A reproducible European call-pricing example that derives the estimator, implements it in NumPy, and measures simulation uncertainty.
A reproducible European call-pricing example that derives the estimator, implements it in NumPy, and measures simulation uncertainty.
A stylized look at how equity skew and term structure tend to move during a sharp drawdown—and what those moves do not prove.
A compact derivation of the stochastic chain rule from a second-order Taylor expansion and the scaling of Brownian motion.
Portfolio covariance calculations make the case for solving linear systems directly: less work, better numerical behavior, clearer intent.
Reflections on Gregory Zuckerman’s account of scientific culture, secrecy, and the unusual institution behind systematic investing.
A small return decomposition, a careful timestamp convention, and a discussion of what an aggregate backtest cannot establish.
A personal note on using writing to preserve questions, failed attempts, and the half-formed ideas that are easiest to lose.
A small signal pipeline that makes information timing explicit and exposes the indexing mistakes that commonly inflate results.
Ownership, borrowing, and lifetimes explained through resource responsibility, temporary access, and proof carried by types.
Notes on David Deutsch’s view of explanation, error correction, and the possibility of open-ended progress.