Option Greeks: Rho

Rho is a measure of an option's sensitivity to changes in the risk free interest rate.

It is expressed as the amount of money an option will lose or gain with a 1% change in interest rates.

For example, consider a call option with a rho of 0.05. This means that if the interest rates increase by 1%, the price of the option will increase by $0.05.

Calculating Rho

Rho is calculated using the following formula:

Rho is the least used and least important greek.

Long calls and short puts have positive rho, that is, the option price will increase with an increase in interest rates and it will decrease with a decrease in interest rates.

Short calls and long puts have negative rho, that is, the option price will increase with a decrease in interest rates and it will decrease with a increase in interest rates.

For both call and put options, the more the time remaining for expiry, the higher is the impact of interest rates. Unless the option has very long life, the changes in interest rates affect the premium only modestly.

Deep out-of-the-money options have low rho compared to at-the-money and deep in-the-money options.

Lesson Resources

Download the options pricing and geeks spreadsheet.
Member-only
Finance Train Premium
Accelerate your finance career with cutting-edge data skills.
Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.
I WANT TO JOIN
JOIN 30,000 DATA PROFESSIONALS

Free Guides - Getting Started with R and Python

Enter your name and email address below and we will email you the guides for R programming and Python.

Saylient AI Logo

Accelerate your finance career with cutting-edge data skills.

Join Finance Train Premium for unlimited access to a growing library of ebooks, projects and code examples covering financial modeling, data analysis, data science, machine learning, algorithmic trading strategies, and more applied to real-world finance scenarios.