Marcin Kawa - All In Pres Board

ALG Stock   1.18  0.08  7.27%   

Executive

Marcin Kawa is Pres Board of All In Games
Phone48 575 99 90 37
Webhttps://www.allingames.com

All In Management Efficiency

The company has return on total asset (ROA) of (0.46) % which means that it has lost $0.46 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of (1.6235) %, meaning that it generated substantial loss on money invested by shareholders. All In's management efficiency ratios could be used to measure how well All In manages its routine affairs as well as how well it operates its assets and liabilities.

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All In Games (ALG) is traded on Warsaw Stock Exchange in Poland and employs 50 people.

Management Performance

All In Games Management Team

Elected by the shareholders, the All In's board of directors comprises two types of representatives: All In inside directors who are chosen from within the company, and outside directors, selected externally and held independent of All. The board's role is to monitor All In's management team and ensure that shareholders' interests are well served. All In'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, All In's outside directors are responsible for providing unbiased perspectives on the board's policies.
Marcin Kawa, Pres Board
Maciej Las, VP Board
Lukasz Gorski, VP Board

All Stock Performance Indicators

The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is All In a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.

Pair Trading with All In

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 All In 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 All In will appreciate offsetting losses from the drop in the long position's value.

Moving against All Stock

  0.57TEN TEN SQUARE GAMESPairCorr
  0.55KTY Grupa KTY SAPairCorr
  0.49MLG MLP Group SAPairCorr
  0.44PKN Polski Koncern NaftowyPairCorr
  0.42CDR CD PROJEKT SA Earnings Call TomorrowPairCorr
The ability to find closely correlated positions to All In could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace All In 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 All In - 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 All In Games to buy it.
The correlation of All In 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 All In moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if All In Games 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 All In 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

Additional Tools for All Stock Analysis

When running All In's price analysis, check to measure All In'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 All In is operating at the current time. Most of All In's value examination focuses on studying past and present price action to predict the probability of All In's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move All In's price. Additionally, you may evaluate how the addition of All In to your portfolios can decrease your overall portfolio volatility.