Rho is the rate at which the price of a derivative changes relative to a change in the risk-free rate of interest.
In addition to her work with Investopedia, she has performed editing and fact-checking work for several leading finance publications, including The Motley Fool and Passport to Wall Street. What is Rho? Rho is the rate at which the price of a derivative changes relative to a change in the risk-free rate of interest.
The analysis will result in a correlation coefficient (called “Rho”) and a p-value. Rho values range from -1 to 1. A negative value of r indicates that the variables are inversely related, or when one variable increases, the other decreases.
If one of your variables is continuous and the other is binary, you should use Point Biserial Correlation. And if your variables are categorical, you should use the Phi Coefficient or Cramer’s V. Spearman’s Rho can only be used to compare two variables.
Rho is the rate at which the price of a derivative changes relative to a change in the risk-free rate of interest. Rho measures the sensitivity of an option or options portfolio to a change in interest rate.
Thus, call options have positive rho, while put options have negative rho. Assume that put option is priced at $9 and has a rho of -0.35.
Rho is larger for options that are in-the-money and decreases steadi ly as the option changes to become out-of-the-money. Also, rho increases as the time to expiration increases.
Because of this, rho is usually considered to be the least important of all the option Greeks. The offers that appear in this table are from partnerships from which Investopedia receives compensation. This compensation may impact how and where listings appear.
What is Spearman’s Rho? Spearman’s Rho is used to understand the strength of the relationship between two variables. Your variables of interest can be continuous or ordinal and should have a monotonic relationship. See more below.
A negative value of r indicates that the variables are inversely related, or when one variable increases, the other decreases. On the other hand, positive values indicate that when one variable increases, so does the other.