Option Calculator using Black-Scholes model and Binomial model
Option pricing with various models (Black-Scholes, Heston, Merton jump diffusion, etc) and methods (Monte Carlo, finite difference, Fourier).
A python program to implement the discrete binomial option pricing model
A small Rust library for quantitative finance.
Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes
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
Weekly exercises of the course of Stochastic Methods for Finance.
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
Find arbitrage-free initial price for options in the CRR binomial options pricing model
Jupyter notebooks implementing Finance projects
Exercises for Zazove Associates interview process. Option-free coupon bond pricing using discounted cash flow model and European stock pricing using binomial model.
Comprehensive finance tools for options pricing (Black-Scholes, Monte Carlo, Binomial) and stock analysis (RSI), built with Python and Next.js
Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)
Python desktop application for options valuation, Greeks analysis, option chain inspection and Black-Scholes, Binomial CRR and Monte Carlo model comparison.
Analysis of local adaptation on Medicago for French institute INRA
A variation of the Binomial Model to create series with scaling and multifractal properties.
Black Scholes and Binomial Models for pricing European Options and Longstaff Schwartz for pricing American Options
The project can be split into different sub-projects (easy difficulty: replication of the published meta-analysis for evidence of gender bias in hiring decisions; medium for newer modelling). Requires skills in R and will require some learning on Bayesian modelling.
Transparent, modular, and adjustable binomial options pricing model
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