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.
Dataproces Group AS (OCSE:DATA) 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.
Dataproces Group AS Volatility Related Terms
OCSE:DATA vs IBM, ACN, FISV: Volatility Comparison
For the Information Technology Services subindustry, Dataproces Group AS'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.
Dataproces Group AS Volatility vs Software Industry
For the Software industry and Technology sector, Dataproces Group AS's Volatility distribution charts can be found below:
* The bar in red indicates where Dataproces Group AS's Volatility falls into.
Dataproces Group AS (OCSE:DATA) 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.
Dataproces Group AS (OCSE:DATA) has a Volatility of 43.37% as of Jun. 29, 2026. Volatility is measured as the annualized standard deviation between monthly returns from the security over the past year. View historical data on Dataproces Group AS and its competitors.
Is Dataproces Group AS's Volatility too high?
Dataproces Group AS's current Volatility is 43.37%. Overall, Dataproces Group AS has a GF Score™ of 72/100 and is considered Modestly Undervalued, reflecting its overall financial health beyond just this single metric.
How does Dataproces Group AS's Volatility compare to IBM and ACN?
Dataproces Group AS's Volatility of 43.37% can be compared against companies in the Software industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Volatility for a Software company?
A good Volatility depends on the Software industry context. However, Volatility should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Volatility mean?
A high Volatility can signal that a stock is expensive relative to its fundamentals. Volatility is measured as the annualized standard deviation between monthly returns from the security over the past year. View historical data on Dataproces Group AS and its competitors. Dataproces Group AS's current Volatility is 43.37%. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Dataproces Group AS stock overvalued right now?
Based on GuruFocus' analysis, Dataproces Group AS (OCSE:DATA) is currently considered Modestly Undervalued. The stock's GF Value™ is kr5.71, compared to a current price of kr4.65 — trading 18.6% below its estimated fair value. The current Volatility is 43.37%. Dataproces Group AS's overall GF Score™ is 72/100 with 3 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Volatility calculated?
Volatility is calculated from a company's financial statements. For Dataproces Group AS (OCSE:DATA), the current Volatility is 43.37% as of Jun. 29, 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.
Is Dataproces Group AS (OCSE:DATA) Overvalued in 2026?
Based on GuruFocus' analysis, Dataproces Group AS stock appears to be undervalued.
The current stock price of kr4.65 is trading 18.6% below its estimated GF Value™ of kr5.71.
GuruFocus considers Dataproces Group AS to be Modestly Undervalued.
Key valuation signals for OCSE:DATA:
Volatility: 43.37%
GF Value™: kr5.71 vs. price of kr4.65 (18.6% below fair value)
No single metric tells the full story. See the OCSE:DATA stock analysis page for a complete view including 30-year financials, guru trades, and insider activity.
Dataproces Group AS is a software and consulting company that specializes in helping customers optimize workflows and finances. It creates value with data and contributes to society by providing advice and Al-supported software solutions that make it possible to make task-solving with customers more efficient.
72GF Score
Get the complete analysis for OCSE:DATA
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