Correlation Between OMGC and BLK

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Can any of the company-specific risk be diversified away by investing in both OMGC and BLK at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining OMGC and BLK into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OMGC and BLK, you can compare the effects of market volatilities on OMGC and BLK and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in OMGC with a short position of BLK. Check out your portfolio center. Please also check ongoing floating volatility patterns of OMGC and BLK.

Diversification Opportunities for OMGC and BLK

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between OMGC and BLK is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding OMGC and BLK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BLK and OMGC is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on OMGC are associated (or correlated) with BLK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BLK has no effect on the direction of OMGC i.e., OMGC and BLK go up and down completely randomly.

Pair Corralation between OMGC and BLK

If you would invest (100.00) in OMGC on December 29, 2024 and sell it today you would earn a total of  100.00  from holding OMGC or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

OMGC  vs.  BLK

 Performance 
       Timeline  
OMGC 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days OMGC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, OMGC is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
BLK 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days BLK has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's forward-looking signals remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for BLK shareholders.

OMGC and BLK Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with OMGC and BLK

The main advantage of trading using opposite OMGC and BLK positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OMGC position performs unexpectedly, BLK 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 BLK will offset losses from the drop in BLK's long position.
The idea behind OMGC and BLK pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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