There are 9 repositories under american-options topic.
Collection of notebooks about quantitative finance, with interactive python code.
Quant Option Pricing - Exotic/Vanilla: Barrier, Asian, European, American, Parisian, Lookback, Cliquet, Variance Swap, Swing, Forward Starting, Step, Fader
European/American/Asian option pricing module. BSM/Monte Carlo/Binomial
Julia and Python programs that implement some of the tools described in my book "Stochastic Methods in Asset Pricing" (SMAP), MIT Press 2017 (e.g., the method for computing the price of American call options and the construction of the early exercise premium in the Black-Scholes-Merton framework from section 18.4 in SMAP).
Implementation of Monte Carlo simulations and Black-Scholes method to calculate prices for American and European options respectively.
Financial Analytics on GPU
A Program to calculate the price of American put or call option with Least Square Monte Carlo
Pricing American style option by estimating optimal stopping time using deep learning
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.
A C++ application of the Crank Nicolson scheme for pricing dividend paying American Options by means of the Green Function
This repository contains pricing methods for equity European and American options. Monte Carlo and tree methods have been implemented for Black Scholes extensions (standard, with discrete dividend, and with single and double Normal jumps for corporate actions). This repository also contains an implementation of a Differential Evolution algorithm to back-solve model parameters given market data (read from JSON).
Asian, American, European and barrier option pricing
Lattice/tree pricing methods for European and American options
This is an example of a program that creates a binomial tree to calculate the prices of a standard European put and an American put (assuming it can be exercised only in the last quarter of the option's life).
An american option pricer based on neural network regression.
Lab assignments of Financial Engineering Course MA374
Pricing American Options, Asian Options, Lookback Options, and Floating Lookback Options using Monte-Carlo Simulation and Binomial Lattice approaches.
Secondary band prediction model
Find Bermuda Option Decision Boundary
Accompanying C++ code for the TastyHedge blog
Financial Engineering
A project with JavaScript, CSS and a bit of HTML. This is an item filtering project with an HTML "select" element.
This project provides an implementation of the American Option pricing model using Binomial Trees. American Options offer the unique feature of being exercisable at any time prior to expiration, adding complexity to the pricing process.
A point relaxation algorithm for pricing and computing optimal exercise boundaries for American options
Simple app to valuate price of financial instruments
Finite Difference Method for options pricing (European and American) in C++ (Explicit only)
Finite Difference Method for Option (European and American) pricing, with greeks for explicit. FastExplicit() is a partially vectorised form of Explicit() that is much faster.