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 beta calculator that retrieves stock and market data and provides linear regressions.

Stock and Index Beta Calculator Python script that calculates the beta (β) of a stock against the chosen index. The script retrieves the data and resa

sammuhrai 4 Jul 29, 2022
bigdata_analyse 大数据分析项目

bigdata_analyse 大数据分析项目 wish 采用不同的技术栈,通过对不同行业的数据集进行分析,期望达到以下目标: 了解不同领域的业务分析指标 深化数据处理、数据分析、数据可视化能力 增加大数据批处理、流处理的实践经验 增加数据挖掘的实践经验

Way 2.4k Dec 30, 2022
Data processing with Pandas.

Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter

1 Jan 23, 2022
A collection of robust and fast processing tools for parsing and analyzing web archive data.

ChatNoir Resiliparse A collection of robust and fast processing tools for parsing and analyzing web archive data. Resiliparse is part of the ChatNoir

ChatNoir 24 Nov 29, 2022
simple way to build the declarative and destributed data pipelines with python

unipipeline simple way to build the declarative and distributed data pipelines. Why you should use it Declarative strict config Scaffolding Fully type

aliaksandr-master 0 Jan 26, 2022
Evidence enables analysts to deliver a polished business intelligence system using SQL and markdown.

Evidence enables analysts to deliver a polished business intelligence system using SQL and markdown

915 Dec 26, 2022
Data analysis and visualisation projects from a range of individual projects and applications

Python-Data-Analysis-and-Visualisation-Projects Data analysis and visualisation projects from a range of individual projects and applications. Python

Tom Ritman-Meer 1 Jan 25, 2022
Pypeln is a simple yet powerful Python library for creating concurrent data pipelines.

Pypeln Pypeln (pronounced as "pypeline") is a simple yet powerful Python library for creating concurrent data pipelines. Main Features Simple: Pypeln

Cristian Garcia 1.4k Dec 31, 2022
BErt-like Neurophysiological Data Representation

BENDR BErt-like Neurophysiological Data Representation This repository contains the source code for reproducing, or extending the BERT-like self-super

114 Dec 23, 2022
Improving your data science workflows with

Make Better Defaults Author: Kjell Wooding [email protected] This is the git re

Kjell Wooding 18 Dec 23, 2022
Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt Labs 6.3k Jan 08, 2023
Learn machine learning the fun way, with Oracle and RedBull Racing

Red Bull Racing Analytics Hands-On Labs Introduction Are you interested in learning machine learning (ML)? How about doing this in the context of the

Oracle DevRel 55 Oct 24, 2022
Functional tensors for probabilistic programming

Funsor Funsor is a tensor-like library for functions and distributions. See Functional tensors for probabilistic programming for a system description.

208 Dec 29, 2022
t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.

tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s

Isaac Robinson 61 Nov 21, 2022
🧪 Panel-Chemistry - exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.

🧪📈 🐍. The purpose of the panel-chemistry project is to make it really easy for you to do DATA ANALYSIS and build powerful DATA AND VIZ APPLICATIONS within the domain of Chemistry using using Python a

Marc Skov Madsen 97 Dec 08, 2022
Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations.

Elicited Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations. Credit to Brett Hoove

Ryan McGeehan 3 Nov 04, 2022
CS50 pset9: Using flask API to create a web application to exchange stocks' shares.

C$50 Finance In this guide we want to implement a website via which users can “register”, “login” “buy” and “sell” stocks, like below: Background If y

1 Jan 24, 2022
Visions provides an extensible suite of tools to support common data analysis operations

Visions And these visions of data types, they kept us up past the dawn. Visions provides an extensible suite of tools to support common data analysis

168 Dec 28, 2022
Modular analysis tools for neurophysiology data

Neuroanalysis Modular and interactive tools for analysis of neurophysiology data, with emphasis on patch-clamp electrophysiology. Functions for runnin

Allen Institute 5 Dec 22, 2021
Pandas and Dask test helper methods with beautiful error messages.

beavis Pandas and Dask test helper methods with beautiful error messages. test helpers These test helper methods are meant to be used in test suites.

Matthew Powers 18 Nov 28, 2022