Correlation Between Dicker Data and OOhMedia

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

Diversification Opportunities for Dicker Data and OOhMedia

0.57
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Dicker and OOhMedia is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and oOhMedia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on oOhMedia and Dicker Data 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 Dicker Data are associated (or correlated) with OOhMedia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of oOhMedia has no effect on the direction of Dicker Data i.e., Dicker Data and OOhMedia go up and down completely randomly.

Pair Corralation between Dicker Data and OOhMedia

Assuming the 90 days trading horizon Dicker Data is expected to under-perform the OOhMedia. In addition to that, Dicker Data is 1.03 times more volatile than oOhMedia. It trades about -0.05 of its total potential returns per unit of risk. oOhMedia is currently generating about -0.05 per unit of volatility. If you would invest  134.00  in oOhMedia on September 13, 2024 and sell it today you would lose (16.00) from holding oOhMedia or give up 11.94% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Dicker Data  vs.  oOhMedia

 Performance 
       Timeline  
Dicker Data 

Risk-Adjusted Performance

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

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days oOhMedia has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Stock's essential indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

Dicker Data and OOhMedia Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dicker Data and OOhMedia

The main advantage of trading using opposite Dicker Data and OOhMedia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dicker Data position performs unexpectedly, OOhMedia 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 OOhMedia will offset losses from the drop in OOhMedia's long position.
The idea behind Dicker Data and oOhMedia 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

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