Sq Old Stock Beneish M Score

SQDelisted Stock  USD 86.96  0.04  0.05%   
This module uses fundamental data of SQ Old to approximate the value of its Beneish M Score. SQ Old M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in producer price index.
  
At this time, SQ Old's M Score is unavailable. The earnings manipulation may begin if SQ Old's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by SQ Old executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of SQ Old's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-4.84
Beneish M Score - Unavailable
Elasticity of Receivables

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Asset Quality

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Expense Coverage

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Gross Margin Strengs

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Accruals Factor

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Depreciation Resistance

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Net Sales Growth

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Financial Leverage Condition

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About SQ Old Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze SQ Old's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of SQ Old using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of SQ Old based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Pair Trading with SQ Old

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if SQ Old position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in SQ Old will appreciate offsetting losses from the drop in the long position's value.

Moving together with SQ Old Stock

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Moving against SQ Old Stock

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The ability to find closely correlated positions to SQ Old could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SQ Old 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 SQ Old - 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 SQ Old to buy it.
The correlation of SQ Old is a statistical measure of how it moves in relation to other instruments. 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 SQ Old moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SQ Old 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.
Correlation analysis and pair trading evaluation for SQ Old can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in producer price index.
You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.

Other Consideration for investing in SQ Old Stock

If you are still planning to invest in SQ Old check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the SQ Old's history and understand the potential risks before investing.
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