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.
Competitive Comparison of Dupont Fabros Technology's Volatility
For the REIT - Office subindustry, Dupont Fabros Technology'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.
Dupont Fabros Technology's Volatility Distribution in the REITs Industry
For the REITs industry and Real Estate sector, Dupont Fabros Technology's Volatility distribution charts can be found below:
* The bar in red indicates where Dupont Fabros Technology's Volatility falls into.
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.
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.
Dupont Fabros Technology Volatility Related Terms
Thank you for viewing the detailed overview of Dupont Fabros Technology's Volatility provided by GuruFocus.com. Please click on the following links to see related term pages.
Dupont Fabros Technology (Dupont Fabros Technology) Business Description
Dupont Fabros Technology, or DFT, is a real estate investment trust engaged in the design and operation of multitenant, wholesale data centers in metropolitan areas across the United States. The company provides the space and infrastructure, such as electrical power, security, and fire suppression services for customers to operate their servers and computing equipment. Its real estate portfolio is composed of large data centers located in the Northern Virginia, Chicago, Greater New York City, and Santa Clara, California areas. DFT derives the majority of its income in the form of rental revenue from tenants in short- to medium-term lease agreements. The company's major customers are technology companies, including Microsoft, Facebook, and Yahoo, which account for most of its revenue.
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