Gi Group Poland Stock Number Of Shares Shorted
| GIG Stock | 1.45 0.01 0.68% |
GI Group Poland fundamentals help investors to digest information that contributes to GI Group's financial success or failures. It also enables traders to predict the movement of GIG Stock. The fundamental analysis module provides a way to measure GI Group's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to GI Group stock.
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GI Group Poland Company Number Of Shares Shorted Analysis
GI Group's Number of Shares Shorted is the total amount of shares that are currently sold short by investors. When a stock is sold short, the short seller assumes the responsibility of repurchasing the stock at a lower price. The speculator will make money if the stock goes down in price or will experience a loss if the stock price goes up.
More About Number Of Shares Shorted | All Equity Analysis
Shares Shorted | = | Shorted by Public | + | by Institutions |
If a large number of investors decide to short sell an equity instrument within a small period of time, their combined action can significantly affect the price of the stock.
| Competition |
Based on the recorded statements, GI Group Poland has 0.0 of outstending shares currently sold short by investors. This is 100.0% lower than that of the Industrials sector and about the same as Staffing & Employment Services (which currently averages 0.0) industry. The number of shares shorted for all Poland stocks is 100.0% higher than that of the company.
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GIG Fundamentals
| Return On Equity | -0.1 | |||
| Return On Asset | -0.0966 | |||
| Profit Margin | (0.08) % | |||
| Operating Margin | (0.10) % | |||
| Current Valuation | 120.47 M | |||
| Shares Outstanding | 65.75 M | |||
| Shares Owned By Insiders | 87.83 % | |||
| Price To Book | 10.08 X | |||
| Price To Sales | 0.20 X | |||
| Revenue | 450.16 M | |||
| Gross Profit | 36.67 M | |||
| EBITDA | 3.01 M | |||
| Net Income | (8.09 M) | |||
| Total Debt | 40.5 M | |||
| Book Value Per Share | (0.43) X | |||
| Cash Flow From Operations | (19.04 M) | |||
| Earnings Per Share | (0.22) X | |||
| Number Of Employees | 135 | |||
| Beta | 1.42 | |||
| Market Capitalization | 102.84 M | |||
| Total Asset | 427.91 M | |||
| Z Score | 2.2 | |||
| Net Asset | 427.91 M |
About GI Group Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze GI Group Poland's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of GI Group using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of GI Group Poland 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 GI Group
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 GI Group 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 GI Group will appreciate offsetting losses from the drop in the long position's value.Moving together with GIG Stock
Moving against GIG Stock
The ability to find closely correlated positions to GI Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GI Group 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 GI Group - 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 GI Group Poland to buy it.
The correlation of GI Group 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 GI Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GI Group Poland 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 GI Group 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.Additional Tools for GIG Stock Analysis
When running GI Group's price analysis, check to measure GI Group'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 GI Group is operating at the current time. Most of GI Group's value examination focuses on studying past and present price action to predict the probability of GI Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GI Group's price. Additionally, you may evaluate how the addition of GI Group to your portfolios can decrease your overall portfolio volatility.