About
Obie-McFarland is an interdisciplinary FinTech and R&D organization whose mission is to enhance financial engineering for individuals and corporations. We do this through developing open-source software and FinTech products, and producing research on subjects intertwined with finance.
We draw research inspiration from several dozens of theoretical areas.
By remaining versatile in several areas of study, we hope to stay open minded to abstract concepts with potential financial applications to realize profits which haven't been done for. Examples of what we use in our financial modeling include:
Mathematics (Non-Financial): Topology, graph theory, combinatorics, dynamical systems/chaos/ergodic theory, differential geometry, measure theory, stochasticity. Operations Research: Stochastic systems, linear/integer/dynamic/Riemannian optimization, machine learning algorithms, Monte Carlo simulations, control theory. Statistics: Time series analysis, regression analysis, copula models, extreme value theory, (non)parametric statistics, PCA, factor models, Kalman filtering, GARCH, quantile regression, bayesian inference. Other Subjects: Data science, physics, computer science (various), probability, economics, game theory. |
We view the future of finance as an increasingly decentralized domain across the globe.
We are heavily inspired by the accessibility the AGI revolution has given the world. From healthcare to education, societies around the world are now bearing witness to a new and evolving world where the systems that have been in place for years are being shaken up, pivoted, or undone altogether. Finance is no exception.
By providing tools and technologies available to the world at large, here are our four goals to help shape the future of financial engineering:
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