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 (2026-07-12), True Data's Volatility is 32.83%.
True Data (TSE:4416) 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.
True Data Volatility Related Terms
TSE:4416 vs UBER, SHOP, CRM: Volatility Comparison
For the Software - Application subindustry, True Data'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.
True Data Volatility vs Software Industry
For the Software industry and Technology sector, True Data's Volatility distribution charts can be found below:
* The bar in red indicates where True Data'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.
True Data (TSE:4416) has a Volatility of 32.83% as of Jul. 12, 2026. Volatility is measured as the annualized standard deviation between monthly returns from the security over the past year. View historical data on True Data and its competitors.
Is True Data's Volatility too high?
True Data's current Volatility is 32.83%. Overall, True Data has a GF Score™ of 65/100 and is considered Modestly Undervalued, reflecting its overall financial health beyond just this single metric.
How does True Data's Volatility compare to UBER and SHOP?
True Data's Volatility of 32.83% 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 True Data and its competitors. True Data's current Volatility is 32.83%. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is True Data stock overvalued right now?
Based on GuruFocus' analysis, True Data (TSE:4416) is currently considered Modestly Undervalued. The stock's GF Value™ is 円647.97, compared to a current price of 円462.00 — trading 28.7% below its estimated fair value. The current Volatility is 32.83%. True Data's overall GF Score™ is 65/100. 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 True Data (TSE:4416), the current Volatility is 32.83% as of Jul. 12, 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 True Data (TSE:4416) Overvalued in 2026?
Based on GuruFocus' analysis, True Data stock appears to be undervalued.
The current stock price of 円462.00 is trading 28.7% below its estimated GF Value™ of 円647.97.
GuruFocus considers True Data to be Modestly Undervalued.
Key valuation signals for TSE:4416:
Volatility: 32.83%
GF Value™: 円647.97 vs. price of 円462.00 (28.7% below fair value)
No single metric tells the full story. See the TSE:4416 stock analysis page for a complete view including 30-year financials, guru trades, and insider activity.
True Data Inc operates a big data platform based on the data generated daily from consumer purchasing behavior. The company deals with POS data with customer IDs from drug stores, supermarkets, and other retailers, and provides analysis and disclosure support tools using such data, as well as other services related to data marketing. Its services are divided into solutions for manufacturers, retailers, and all industries. In the solutions for manufacturers, it provides services such as Eagle Eye, Dolphin Eye, and POS Analysis Cloud. In the solutions for retailers, it offers services such as Shopping Scan, and for all industries, it provides data and analysis reports related to consumer purchases, data utilization support services such as AI, and other related services.
65GF Score
Get the complete analysis for TSE:4416
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