Option Calculator using Black-Scholes model and Binomial model
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Updated
Dec 4, 2019 - Jupyter Notebook
Option Calculator using Black-Scholes model and Binomial model
A python program to implement the discrete binomial option pricing model
Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fourier).
Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possible, even though certain models have their own Machine Learning Model with assessment and performance.
Financial modelling, derivatives, investments
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The binomial tree model is a commonly used approach for pricing derivatives, such as options. The basic idea behind the model is to create a tree of possible stock prices over time, based on a set of input parameters
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Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)
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Transparent, modular, and adjustable binomial options pricing model
This repo includes Prediction with Binomial Logistic Regression.
Lighting the way in options pricing
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