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Introduction In the previous post, we introduced the Feynman-Kac equation by starting with a space of functions and equipping it with the Markov semigroup.
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In the previous few posts, we have been building up a small stochastic-calculus library on top of SageMath in Python.
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Introduction In the previous blogs we taught SageMath how to represent stochastic differential equations (as a data class), apply Ito’s lemma (as part of our Ito package), derive infinitesimal generators, and connect those generators to the Kolmogorov equ…
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Introduction In the previous blog we introduced the Kolmogorov Forward and Backward equations and showed how they arise from the infinitesimal generator of a SDE.
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In the previous blog posts we have built an Ito Layer over SageMath in Python, implemented the Lamperti transform, and an infinitesimal generator.
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Introduction In the previous two posts in this series we derived the Black–Scholes PDE using SageMath and implemented the Lamperti transform symbolically.
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Introduction In the previous blog post we showed how an Ito calculus layer sitting on top of SageMath can produce the Black-Scholes PDE symbolically.
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Introduction In the previous post I shared my journey of getting SageMath installed in Windows and writing my first unit tests.
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If you try to pip install sagemath, you will not get SageMath, you will only get confusion.
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Introduction Building on the work we did in the previous post, I spent today building a normal SABR volatility surface for BTC options, with the end-goal of pricing inverse options on Deribit (which will be in the next post).
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Introduction When pricing Constant Maturity Swap (CMS) products, one of the biggest sources of error is not the interest-rate curve, it’s the swaption volatility surface, and in particular its smile.
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Introduction Prerequisites Setup Your Derebit Account Setup Your PostgreSQL Server Create a New PostgreSQL Database Setup Python Environment Clone GitHub Repo Database Schema Fetching Derebit Data Calculating the Black-Scholes Price Inverse Options Conclu…