Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)

Overview

Binomial Option Pricing Calculator

Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)

Background

A derivative is a financial instrument that derives its value from the price of an underlying asset. An option gives the owner the ability to buy or sell the underlying asset at pre-determined price. An option that allows the holder to buy the asset at the pre-determined price (also known as the exercise or strike price) is called a call option. An option that lets the owner sell the underlying asset at the strike price is called a put option. There are three key types of options, a European option allows the holder to exercise ('redeem') the option only at maturity of the option. An American option can be exercised any time before maturity. A Bermudan option is exercisable at pre-deteremined dates decided at the creation of the option.

The binomial pricing method is one of the three most common methods used to value options - the others being the Black-Scholes model and a Monte Carlo simulation. The method predicts the price of the underlying asset at intervals (branches) between now and maturity of the option contract. This creates a tree showing the price movements of the asset, which can be used to find the fair value of the option. Unlike Black-Scholes, the binomial method allows the intrinsic value of the option to be calculated prior to maturity, better representing the value of American and Bermudan options which have the option of early exercise.

Pricing options using this method is done by:

  1. Determining the magnitude that stock prices will rise or fall between each branch.
  2. Calculating the probability that the stock price will move upwards or downward.
  3. Forming the binomial stock price tree with the specified number of branches.
  4. Calculate the payoff of the option at maturity.
  5. Working backwards, value the option by discounting the value of the option at the following nodes using. If the option is American or Bermudan and exercisible at that branch, then the value of the option if it was exercised is calculated, if it is greater than the discoutned value, it becomes the calculated value of the branch.
  6. The value derived at the top of the tree is the fair value of the option today.

Features of the Script

  • Does not require any libraries - it will work in base python3 and immune to changes in libraries
  • Option type is specified as a parameter allowing easy implementations
  • Returns and displays the calculated stock tree

The following assumptions are made by the model:

  • No dividends are paid across the option's life
  • Risk-Free rate is constant across the option's life
  • The price will move up or down each period

Variables and Paramaters

The variables required are:

Name Symbol Description
Stock Price s The current price of the underlying asset (time 0)
Exercise Price x The strike price of the option contract
Time to Maturity t The time until maturity of the option contract (in years)
Risk-Free Rate r The current risk-free rate
Branches/Steps b The number of branches used to value the option
Volatility v The volatility of the price movements in the underlying asset

Optional variables are:

Name Symbol Description
Option Nationality nat 'A' for American (default), 'B' for Bermudan, 'E' for European
Option Type typ 'C' for Call (default), 'P' for Put
Print Results prnt True to enable printing (default), False to disable
Exercisible Periods exP The branches that a Bermudan option can be exercised

Related Projects

Beta calculator with stock data downloader: https://github.com/sammuhrai/beta-calculator

Disclaimer

Script is for educational purposes and is not to be taken as financial advice.

Owner
sammuhrai
sammuhrai
Python implementation of Principal Component Analysis

Principal Component Analysis Principal Component Analysis (PCA) is a dimension-reduction algorithm. The idea is to use the singular value decompositio

Ignacio Darago 1 Nov 06, 2021
Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data

WeRateDogs Twitter Data from 2015 to 2017 Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data Table of Contents Introduction Proj

Keenan Cooper 1 Jan 12, 2022
Developed for analyzing the covariance for OrcVIO

about This repo is developed for analyzing the covariance for OrcVIO environment setup platform ubuntu 18.04 using conda conda env create --file envir

Sean 1 Dec 08, 2021
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

ZhuSuan is a Python probabilistic programming library for Bayesian deep learning, which conjoins the complimentary advantages of Bayesian methods and

Tsinghua Machine Learning Group 2.2k Dec 28, 2022
Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production

Numerics Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production Use procedure: Initialise a new i

George Whittle 1 Nov 13, 2021
Autopsy Module to analyze Registry Hives based on bookmarks provided by EricZimmerman for his tool RegistryExplorer

Autopsy Module to analyze Registry Hives based on bookmarks provided by EricZimmerman for his tool RegistryExplorer

Mohammed Hassan 13 Mar 31, 2022
Airflow ETL With EKS EFS Sagemaker

Airflow ETL With EKS EFS & Sagemaker (en desarrollo) Diagrama de la solución Imp

1 Feb 14, 2022
An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify.

An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.

1 Feb 11, 2022
Semi-Automated Data Processing

Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meanin

Arun Singh Babal 1 Jan 17, 2022
A script to "SHUA" H1-2 map of Mercenaries mode of Hearthstone

lushi_script Introduction This script is to "SHUA" H1-2 map of Mercenaries mode of Hearthstone Installation Make sure you installed python=3.6. To in

210 Jan 02, 2023
Bamboolib - a GUI for pandas DataFrames

Community repository of bamboolib bamboolib is joining forces with Databricks. For more information, please read our announcement. Please note that th

Tobias Krabel 863 Jan 08, 2023
pipeline for migrating lichess data into postgresql

How Long Does It Take Ordinary People To "Get Good" At Chess? TL;DR: According to 5.5 years of data from 2.3 million players and 450 million games, mo

Joseph Wong 182 Nov 11, 2022
Single-Cell Analysis in Python. Scales to >1M cells.

Scanpy – Single-Cell Analysis in Python Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It inc

Theis Lab 1.4k Jan 05, 2023
Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which he recommends to buy. We will use this data to build a portfolio

Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which

Gábor Vecsei 12 Aug 30, 2022
Creating a statistical model to predict 10 year treasury yields

Predicting 10-Year Treasury Yields Intitially, I wanted to see if the volatility in the stock market, represented by the VIX index (data source), had

10 Oct 27, 2021
Finding project directories in Python (data science) projects, just like there R rprojroot and here packages

Find relative paths from a project root directory Finding project directories in Python (data science) projects, just like there R here and rprojroot

Daniel Chen 102 Nov 16, 2022
Universal data analysis tools for atmospheric sciences

U_analysis Universal data analysis tools for atmospheric sciences Script written in python 3. This file defines multiple functions that can be used fo

Luis Ackermann 1 Oct 10, 2021
Data Analytics on Genomes and Genetics

Data Analytics performed on On genomes and Genetics dataset to predict genetic disorder and disorder subclass. DONE by TEAM SIGMA!

1 Jan 12, 2022
A set of functions and analysis classes for solvation structure analysis

SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,

MDAnalysis 19 Nov 24, 2022
NumPy aware dynamic Python compiler using LLVM

Numba A Just-In-Time Compiler for Numerical Functions in Python Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaco

Numba 8.2k Jan 07, 2023