Data Call Technologies (Data Call Technologies) Volatility : 88.90% (As of May. 02, 2024)

Competitive Comparison of Data Call Technologies's Volatility

For the Software - Infrastructure subindustry, Data Call Technologies'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.

Data Call Technologies's Volatility Distribution in the Software Industry

For the Software industry and Technology sector, Data Call Technologies's Volatility distribution charts can be found below:

* The bar in red indicates where Data Call Technologies's Volatility falls into.

Data Call Technologies  (OTCPK:DCLT) Volatility Calculation

The annualized volatility is calculated as following:

Where: σ_M is the monthly volatility, n is the number of months in the period, R_i 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.

Data Call Technologies  (OTCPK:DCLT) 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.

Data Call Technologies Volatility Related Terms

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Data Call Technologies (Data Call Technologies) Business Description