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Core Scientific (Core Scientific) Volatility : N/A% (As of May. 01, 2024)


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What is Core Scientific 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.

Core Scientific does not have enough data to calculate Volatility.


Competitive Comparison of Core Scientific's Volatility

For the Software - Infrastructure subindustry, Core Scientific'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.


Core Scientific's Volatility Distribution in the Software Industry

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

* The bar in red indicates where Core Scientific's Volatility falls into.



Core Scientific  (NAS:CORZ) 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.


Core Scientific  (NAS:CORZ) 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.


Core Scientific Volatility Related Terms

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Core Scientific (Core Scientific) Business Description

Comparable Companies
Traded in Other Exchanges
Address
210 Barton Springs Road, Austin, TX, USA, 78704
Core Scientific Inc is engaged in Blockchain and AI Infrastructure, Digital Asset Self-Mining, Premium Hosting, Blockchain Technology, and Artificial Intelligence related services. The business operates in two segments being; Equipment Sales and Hosting which consists of blockchain infrastructure, third-party hosting business and equipment sales to customers. Mining segment consists of digital asset mining for its account. The blockchain business generates revenue from the sale of consumption-based contracts and by providing hosting services. The digital asset mining segment earns revenue from operating a firm's owned computer equipment as part of a pool of users that process transactions conducted on one or more blockchain networks. In exchange, it receives digital currency assets.

Core Scientific (Core Scientific) Headlines

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