Meta Data Correlations

AIU Stock  USD 0.75  0.03  3.85%   
The correlation of Meta Data is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Meta Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta Data moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Average diversification

The correlation between Meta Data and NYA is 0.15 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Meta Data and NYA in the same portfolio, assuming nothing else is changed.
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Meta Data. Also, note that the market value of any Company could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
For more information on how to buy Meta Stock please use our How to Invest in Meta Data guide.
  
The ability to find closely correlated positions to Meta Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Meta Data when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Meta Data - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Meta Data to buy it.

Moving together with Meta Stock

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Moving against Meta Stock

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Related Correlations Analysis

GV
YQ
EEIQ
WAFU
FEDU
GV
-0.050.290.35-0.11
GV
YQ
-0.05-0.560.130.13
YQ
EEIQ
0.29-0.560.420.13
EEIQ
WAFU
0.350.130.42-0.12
WAFU
FEDU
-0.110.130.13-0.12
FEDU
GV
YQ
EEIQ
WAFU
FEDU
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio

Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
WAFUEEIQ
WAFUGV
EEIQGV
WAFUYQ
FEDUYQ
FEDUEEIQ
  
High negative correlations   
EEIQYQ
FEDUWAFU
FEDUGV
YQGV

Risk-Adjusted Indicators

There is a big difference between Meta Stock performing well and Meta Data Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Meta Data's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Meta Data without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Meta Data Corporate Management

Elected by the shareholders, the Meta Data's board of directors comprises two types of representatives: Meta Data inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Meta. The board's role is to monitor Meta Data's management team and ensure that shareholders' interests are well served. Meta Data's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Meta Data's outside directors are responsible for providing unbiased perspectives on the board's policies.
Chee NgChief OfficerProfile
Jinshu KeSenior AffairsProfile
Ida YuInvestor DirectorProfile
Li XiaomingCEO ChairmanProfile
Qiang ZhouVP FinProfile
Shengcong MaCOO DirectorProfile
Rebecca ShenInvestor DirectorProfile

Already Invested in Meta Data?

The danger of trading Meta Data is mainly related to its market volatility and Company specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of Meta Data is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than Meta Data. The Shape ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile Meta Data is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.
When determining whether Meta Data is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Meta Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Meta Data Stock. Highlighted below are key reports to facilitate an investment decision about Meta Data Stock:
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Meta Data. Also, note that the market value of any Company could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
For more information on how to buy Meta Stock please use our How to Invest in Meta Data guide.
You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

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When running Meta Data's price analysis, check to measure Meta Data's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Meta Data is operating at the current time. Most of Meta Data's value examination focuses on studying past and present price action to predict the probability of Meta Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Meta Data's price. Additionally, you may evaluate how the addition of Meta Data to your portfolios can decrease your overall portfolio volatility.
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Is Meta Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Meta Data. If investors know Meta will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Meta Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
0.24
Revenue Per Share
0.743
Quarterly Revenue Growth
8.155
Return On Assets
0.0996
The market value of Meta Data is measured differently than its book value, which is the value of Meta that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Data's value that differs from its market value or its book value, called intrinsic value, which is Meta Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Meta Data's market value can be influenced by many factors that don't directly affect Meta Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Meta Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Meta Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.