Bachelier's Theory of Speculation Revisited: A Reproducible Reconstruction of the Origins of Quantitative Finance

Louis Bachelier’s 1900 doctoral thesis, Théorie de la Spéculation, is one of the earliest mathematical foundations of modern quantitative finance. Long before the standardization of stochastic calculus in financial economics, Bachelier introduced a probabilistic framework for market price fluctuations and derived option-pricing relations based on what is now recognized as arithmetic Brownian motion. This paper provides a modern, reproducible reconstruction of Bachelier’s theory. We reformulate the core model in contemporary notation, derive its martingale and variance-scaling properties, recover the Bachelier European call pricing formula, and validate the formula numerically through Monte Carlo simulation. We further compare the Bachelier model with Black–Scholes in a low-relative-volatility regime, emphasizing both the historical continuity and the structural differences between arithmetic and geometric price dynamics. The contribution of this paper is not to introduce a new option-pricing theory, but to provide an open, transparent, and computationally reproducible bridge between Bachelier’s original work and modern quantitative finance. The paper concludes by discussing the limitations of the arithmetic model, especially the possibility of negative prices, and by proposing a reproducibility framework for historical financial mathematics.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.21400821
Primary Topic
Complex Systems and Time Series Analysis
Type
preprint
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Bachelier's Theory of Speculation Revisited: A Reproducible Reconstruction of the Origins of Quantitative Finance

Alpha Kabinet TOURE
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Time Series Analysis
preprint

Bachelier's Theory of Speculation Revisited: A Reproducible Reconstruction of the Origins of Quantitative Finance

Alpha Kabinet TOURE
preprint en

Abstract

Louis Bachelier’s 1900 doctoral thesis, Théorie de la Spéculation, is one of the earliest mathematical foundations of modern quantitative finance. Long before the standardization of stochastic calculus in financial economics, Bachelier introduced a probabilistic framework for market price fluctuations and derived option-pricing relations based on what is now recognized as arithmetic Brownian motion. This paper provides a modern, reproducible reconstruction of Bachelier’s theory. We reformulate the core model in contemporary notation, derive its martingale and variance-scaling properties, recover the Bachelier European call pricing formula, and validate the formula numerically through Monte Carlo simulation. We further compare the Bachelier model with Black–Scholes in a low-relative-volatility regime, emphasizing both the historical continuity and the structural differences between arithmetic and geometric price dynamics. The contribution of this paper is not to introduce a new option-pricing theory, but to provide an open, transparent, and computationally reproducible bridge between Bachelier’s original work and modern quantitative finance. The paper concludes by discussing the limitations of the arithmetic model, especially the possibility of negative prices, and by proposing a reproducibility framework for historical financial mathematics.

Zenodo (CERN European Organization for Nuclear Research)
Alpha Technologies (Canada) (CA)
Complex Systems and Time Series Analysis
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