Correlation Between Oblong and SSNT Old

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Can any of the company-specific risk be diversified away by investing in both Oblong and SSNT Old 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 Oblong and SSNT Old into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oblong Inc and SSNT Old, you can compare the effects of market volatilities on Oblong and SSNT Old 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 Oblong with a short position of SSNT Old. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oblong and SSNT Old.

Diversification Opportunities for Oblong and SSNT Old

0.09
  Correlation Coefficient

Significant diversification

The 3 months correlation between Oblong and SSNT is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Oblong Inc and SSNT Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSNT Old and Oblong 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 Oblong Inc are associated (or correlated) with SSNT Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSNT Old has no effect on the direction of Oblong i.e., Oblong and SSNT Old go up and down completely randomly.

Pair Corralation between Oblong and SSNT Old

If you would invest  374.00  in Oblong Inc on October 26, 2024 and sell it today you would earn a total of  14.00  from holding Oblong Inc or generate 3.74% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy1.69%
ValuesDaily Returns

Oblong Inc  vs.  SSNT Old

 Performance 
       Timeline  
Oblong Inc 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Oblong Inc are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak essential indicators, Oblong reported solid returns over the last few months and may actually be approaching a breakup point.
SSNT Old 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days SSNT Old has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, SSNT Old is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

Oblong and SSNT Old Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Oblong and SSNT Old

The main advantage of trading using opposite Oblong and SSNT Old positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oblong position performs unexpectedly, SSNT Old 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 SSNT Old will offset losses from the drop in SSNT Old's long position.
The idea behind Oblong Inc and SSNT Old 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.
Check out your portfolio center.
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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