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
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we

Jeremy Singer-Vine 98 Dec 31, 2022
Projects that implement various aspects of Data Engineering.

DATAWAREHOUSE ON AWS The purpose of this project is to build a datawarehouse to accomodate data of active user activity for music streaming applicatio

2 Oct 14, 2021
Analyzing Covid-19 Outbreaks in Ontario

My group and I took Covid-19 outbreak statistics from ontario, and analyzed them to find different patterns and future predictions for the virus

Vishwaajeeth Kamalakkannan 0 Jan 20, 2022
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis. You write a high level configuration file specifying your in

Blue Collar Bioinformatics 917 Jan 03, 2023
Additional tools for particle accelerator data analysis and machine information

PyLHC Tools This package is a collection of useful scripts and tools for the Optics Measurements and Corrections group (OMC) at CERN. Documentation Au

PyLHC 3 Apr 13, 2022
Python reader for Linked Data in HDF5 files

Linked Data are becoming more popular for user-created metadata in HDF5 files.

The HDF Group 8 May 17, 2022
Feature engineering and machine learning: together at last

Feature engineering and machine learning: together at last! Lambdo is a workflow engine which significantly simplifies data analysis by unifying featu

Alexandr Savinov 14 Sep 15, 2022
NFCDS Workshop Beginners Guide Bioinformatics Data Analysis

Genomics Workshop FIXME: overview of workshop Code of Conduct All participants s

Elizabeth Brooks 2 Jun 13, 2022
PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems

PATC: Introduction to Big Data Analytics. Practical Data Analytics for Solving Real World Problems

1 Feb 07, 2022
Randomisation-based inference in Python based on data resampling and permutation.

Randomisation-based inference in Python based on data resampling and permutation.

67 Dec 27, 2022
ForecastGA is a Python tool to forecast Google Analytics data using several popular time series models.

ForecastGA is a tool that combines a couple of popular libraries, Atspy and googleanalytics, with a few enhancements.

JR Oakes 36 Jan 03, 2023
[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes

Jun Li 65 Dec 09, 2022
MotorcycleParts DataAnalysis python

We work with the accounting department of a company that sells motorcycle parts. The company operates three warehouses in a large metropolitan area.

NASEEM A P 1 Jan 12, 2022
Convert tables stored as images to an usable .csv file

Convert an image of numbers to a .csv file This Python program aims to convert images of array numbers to corresponding .csv files. It uses OpenCV for

711 Dec 26, 2022
Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List.

tldextract Python Module tldextract accurately separates the gTLD or ccTLD (generic or country code top-level domain) from the registered domain and s

John Kurkowski 1.6k Jan 03, 2023
Vectorizers for a range of different data types

Vectorizers for a range of different data types

Tutte Institute for Mathematics and Computing 69 Dec 29, 2022
Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data

Statistical_Modelling Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data Statistical Methods for Decision Ma

Avnika Mehta 1 Jan 27, 2022
Pip install minimal-pandas-api-for-polars

Minimal Pandas API for Polars Install From PyPI: pip install minimal-pandas-api-for-polars Example Usage (see tests/test_minimal_pandas_api_for_polars

Austin Ray 6 Oct 16, 2022
Renato 214 Jan 02, 2023
track your GitHub statistics

GitHub-Stalker track your github statistics 👀 features find new followers or unfollowers find who got a star on your project or remove stars find who

Bahadır Araz 34 Nov 18, 2022