First Team Correlations

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The correlation of First Team 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. If the correlation is 0, the equities are not correlated; they are entirely random.

First Team Correlation With Market

Average diversification

The correlation between First Team Sports and DJI is 0.19 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding First Team Sports and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to First Team could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Team 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 First Team - 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 First Team Sports to buy it.

Moving against First Pink Sheet

  0.34MSFT MicrosoftPairCorr

Related Correlations Analysis


Risk-Adjusted Indicators

There is a big difference between First Pink Sheet performing well and First Team 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 First Team'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.

First Team Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with First Team pink sheet to make a market-neutral strategy. Peer analysis of First Team could also be used in its relative valuation, which is a method of valuing First Team by comparing valuation metrics with similar companies.
 Risk & Return  Correlation