# Queens Z Score

 BRSGF Stock USD 0.47  0.00  0.00%
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out Queens Road Piotroski F Score and Queens Road Valuation analysis.
 Queens

## Queens Z Score Analysis

Queens Road's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
 Z Score = Sum Of 5 Factors
More About Z Score | All Equity Analysis
 First Factor = 1.2 * ( Working Capital / Total Assets )
 Second Factor = 1.4 * ( Retained Earnings / Total Assets )
 Thrid Factor = 3.3 * ( EBITAD / Total Assets )
 Fouth Factor = 0.6 * ( Market Value of Equity / Total Liabilities )
 Fifth Factor = 0.99 * ( Revenue / Total Assets )
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
In accordance with the company's disclosures, Queens Road Capital has a Z Score of 0.0. This is 100.0% lower than that of the Financial Services sector and 100.0% lower than that of the Asset Management industry. The z score for all United States stocks is 100.0% higher than that of the company.

## Queens Z Score Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Queens Road's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Queens Road could also be used in its relative valuation, which is a method of valuing Queens Road by comparing valuation metrics of similar companies.
Queens Road is currently under evaluation in z score category among related companies.

## Queens Fundamentals

 Return On Equity (0.09) % Return On Asset (0.0473) % Operating Margin 4.51 % Current Valuation 195.46 M Shares Outstanding 452 M Shares Owned by Insiders 38.90 % Shares Owned by Institutions 25.32 % Price to Earning 176.67 X Price to Book 1.04 X Price to Sales 28.21 X Revenue 3.88 M Gross Profit 8.5 M EBITDA (2.72 M) Net Income (3.48 M) Cash and Equivalents 35.72 M Cash per Share 0.08 X Total Debt 545.1 K Debt to Equity 0.002 % Current Ratio 124.55 X Book Value Per Share 0.51 X Cash Flow from Operations 637.7 K Earnings Per Share 0.15 X Number of Employees 13 Beta 2.0 Market Capitalization 245.32 M Total Asset 232.57 M Annual Yield 0.0245 % Net Asset 232.57 M Last Dividend Paid 0.013

The Macroaxis Fundamental Analysis modules help investors analyze Queens Road Capital's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Queens Road using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Queens Road Capital 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.
Queens Road Capital Investment Ltd., a resource focused investment company, invests in privately held and publicly traded resource companies. Queens Road Capital Investment Ltd. was incorporated in 2011 and is based in Central, Hong Kong. Lithion Energy is traded on OTC Exchange in the United States.

## Be your own money manager

Our tools can tell you how much better you can do entering a position in Queens Road 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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#### Crypto Correlations

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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 Queens Road 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 Queens Road will appreciate offsetting losses from the drop in the long position's value.

### Moving against Queens Pink Sheet

 - 0.73 IVSBF Investor AB Ser PairCorr - 0.72 CNF CNFinance Holdings Financial Report 23rd of August 2023 PairCorr - 0.69 TLK Telkom Indonesia Tbk Fiscal Quarter End 30th of June 2023 PairCorr - 0.66 IVSXF Investor AB PairCorr - 0.66 PTAIY Astra International Tbk PairCorr
The ability to find closely correlated positions to Queens Road could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Queens Road 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 Queens Road - 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 Queens Road Capital to buy it.
The correlation of Queens Road 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 Queens Road moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Queens Road Capital 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 Queens Road 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.
Check out Queens Road Piotroski F Score and Queens Road Valuation analysis. Note that the Queens Road Capital information on this page should be used as a complementary analysis to other Queens Road's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .