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IHS Markit Volatility

: 22.76% (As of Today)
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Volatility is a statistical measure of the dispersion of returns for a given security or market index, it shows how the price swings around its mean. The volatility here is measured as the annualized standard deviation between monthly returns from the security over the past year. In most cases, the higher the volatility, the riskier the security.

As of today (2021-12-07), IHS Markit's Volatility is 22.76%.


Competitive Comparison

For the Consulting Services subindustry, IHS Markit's Volatility, along with its competitors' market caps and Volatility data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

   

IHS Markit Volatility Distribution

For the Business Services industry and Industrials sector, IHS Markit's Volatility distribution charts can be found below:

* The bar in red indicates where IHS Markit's Volatility falls into.



IHS Markit  (NYSE:INFO) Volatility Calculation

The annualized volatility is calculated as following:

σA=σM * 12
= 1/(n-1) ∑(Ri - R')^2 * 12

Where: σM is the monthly volatility, n is the number of months in the period, Ri is the security's historical monthly returns and R' is the arithmetic mean of monthly returns.

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


IHS Markit  (NYSE:INFO) Volatility Explanation

Volatility is a statistical measure of the dispersion of returns for a given security or market index. It’s often measured as standard deviation or variance of historical returns over a certain period. The volatility here is measured as the annualized standard deviation between monthly returns from the security over the past year.

Volatility reflects the uncertainty or risk of a security’s value. Generally speaking, a higher volatility suggests a higher risk, because it implies a wider fluctuation around average price. This means the price of the security can change dramatically in either direction within a short period. Conversely, a lower volatility means that the security's price is more steady, which suggests a lower risk.

Another measurement of relative volatility is Beta. Beta is a measure of systematic risk of a security or a portfolio in comparison to the market as a whole. Beta is usually compared to 1. A beta of greater than 1 indicates that the security's price will be more volatile than the market.


IHS Markit Volatility Related Terms

Thank you for viewing the detailed overview of IHS Markit's Volatility provided by GuruFocus.com. Please click on the following links to see related term pages.


IHS Markit Business Description

IHS Markit logo
Industry
Industrials » Business Services NAICS : 561499 SIC : 7389
Traded in Other Exchanges
Address
25 Ropemaker Street, 4th Floor, Ropemaker Place, London, GBR, EC2Y 9LY
IHS Markit is a leading provider of data and analytics to corporate and sovereign clients across a wide variety of industries. Financial markets accounted for 42% of fiscal 2020 revenue, transportation 27%, resources (energy and chemicals) 20%, and CMS (consolidated markets) 11%. Approximately 60% of fiscal 2020 revenue came from the United States. IHS Markit has approximately 16,000 employees worldwide. About 74% of fiscal 2020 revenue was recurring and fixed, 14% recurring and variable, and 12% non-recurring. S&P Global has offered to acquire IHS Markit, with holders of the target firm set to receive 0.2838 shares of the combined entity (a little less than one third of the total), in a deal valued at $44 billion upon announcement.

IHS Markit Headlines

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