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#

american-options

Here are 32 public repositories matching this topic...

European/American/Asian option pricing module. BSM/Monte Carlo/Binomial

  • UpdatedNov 7, 2022
  • Python

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).

  • UpdatedMar 26, 2021
  • Jupyter Notebook

Implementation of Monte Carlo simulations and Black-Scholes method to calculate prices for American and European options respectively.

  • UpdatedAug 11, 2018
  • Python

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.

  • UpdatedSep 15, 2022
  • Python

Financial Analytics on GPU

  • UpdatedFeb 29, 2024
  • C++

A Program to calculate the price of American put or call option with Least Square Monte Carlo

  • UpdatedJun 7, 2023
  • Python

Pricing American style option by estimating optimal stopping time using deep learning

  • UpdatedOct 24, 2023
  • Jupyter Notebook

A C++ application of the Crank Nicolson scheme for pricing dividend paying American Options by means of the Green Function

  • UpdatedJun 1, 2018
  • C++

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…

  • UpdatedOct 10, 2020
  • C++

Asian, American, European and barrier option pricing

  • UpdatedAug 9, 2021
  • Python

Pricing American Options, Asian Options, Lookback Options, and Floating Lookback Options using Monte-Carlo Simulation and Binomial Lattice approaches.

  • UpdatedJun 18, 2022
  • Jupyter Notebook

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).

  • UpdatedSep 11, 2017
  • MATLAB

An american option pricer based on neural network regression.

  • UpdatedApr 6, 2021
  • Python

Lattice/tree pricing methods for European and American options

  • UpdatedJul 16, 2020
  • Python

Comparative Analysis of Dual Algorithms for high-dimensional Stopping Problems

  • UpdatedAug 7, 2024
  • Jupyter Notebook

Secondary band prediction model

  • UpdatedJan 26, 2018
  • Jupyter Notebook

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