Major League Correlations
| MLFB Stock | USD 0.0001 0.00 0.00% |
The correlation of Major League 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 correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Major |
The ability to find closely correlated positions to Major League could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Major League 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 Major League - 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 Major League Football to buy it.
Related Correlations Analysis
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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
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between Major Pink Sheet performing well and Major League 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 Major League'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.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| AFTM | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| BOTY | 26.30 | 5.67 | 0.14 | 1.27 | 20.77 | 100.00 | 150.00 | |||
| AGAEW | 11.47 | (0.37) | 0.00 | 0.80 | 0.00 | 25.00 | 83.33 | |||
| WRIT | 4.94 | (0.27) | 0.00 | (0.41) | 0.00 | 16.67 | 90.60 | |||
| HHSE | 8.16 | 1.61 | 0.10 | (1.41) | 9.51 | 18.75 | 59.65 | |||
| FERL | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| SNWR | 6.41 | (0.22) | 0.00 | 1.91 | 0.00 | 25.00 | 53.33 | |||
| UAPC | 6.37 | 0.37 | 0.02 | 32.81 | 7.25 | 22.22 | 55.68 | |||
| MIKP | 2.98 | 1.37 | 0.00 | 1.38 | 0.00 | 0.00 | 100.00 | |||
| AFOM | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Major League 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.Did you try this?
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Major League Corporate Management
| John Coyne | Ex Director | Profile | |
| Gregory Campbell | Chief Officer | Profile | |
| Frank Murtha | CEO Pres | Profile | |
| Steve Videtich | Chief Officer | Profile | |
| Michael McCarthy | VP Operations | Profile | |
| Robert Rose | PR Consultant | Profile | |
| Scott Miller | Technology Consultant | Profile |