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mF International (mF International) Volatility : N/A% (As of Apr. 28, 2024)


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What is mF International Volatility?

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.

mF International does not have enough data to calculate Volatility.


Competitive Comparison of mF International's Volatility

For the Software - Application subindustry, mF International'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.


mF International's Volatility Distribution in the Software Industry

For the Software industry and Technology sector, mF International's Volatility distribution charts can be found below:

* The bar in red indicates where mF International's Volatility falls into.



mF International  (NAS:MFI) 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.


mF International  (NAS:MFI) 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.


mF International Volatility Related Terms

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mF International (mF International) Business Description

Comparable Companies
Traded in Other Exchanges
N/A
Address
77-79 Gloucester Road, Unit 1801, Fortis Tower, Wan Chai, Hong Kong, HKG
mF International Ltd is a holding company and all of its operations are carried out by Operating Subsidiaries in Hong Kong. It is a financial trading solution provider principally engaged in the development and provision of financial trading solutions. It has approximately 20 years of experience in providing real-time mission-critical forex, bullion/commodities trading platform solutions, financial value-added services, mobile applications, and financial information for brokers and institutional clients via internet or platform as software as a service. The company has provided a wide range of top-notch services, including mF4 Trading Platform, Bridge and Plugins, CRM System, ECN System, Liquidity Solutions, Cross-platform Broker Plus Solution, Social Trading Applications and others.

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