Correlation Between Strickland Metals and Dicker Data

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

Diversification Opportunities for Strickland Metals and Dicker Data

0.63
  Correlation Coefficient

Poor diversification

The 3 months correlation between Strickland and Dicker is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Strickland Metals and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Strickland Metals 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 Strickland Metals are associated (or correlated) with Dicker Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dicker Data has no effect on the direction of Strickland Metals i.e., Strickland Metals and Dicker Data go up and down completely randomly.

Pair Corralation between Strickland Metals and Dicker Data

Assuming the 90 days trading horizon Strickland Metals is expected to generate 3.72 times more return on investment than Dicker Data. However, Strickland Metals is 3.72 times more volatile than Dicker Data. It trades about 0.15 of its potential returns per unit of risk. Dicker Data is currently generating about 0.02 per unit of risk. If you would invest  7.00  in Strickland Metals on August 30, 2024 and sell it today you would earn a total of  1.10  from holding Strickland Metals or generate 15.71% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Strickland Metals  vs.  Dicker Data

 Performance 
       Timeline  
Strickland Metals 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days Strickland Metals has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's forward-looking signals remain comparatively stable which may send shares a bit higher in December 2024. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.
Dicker Data 

Risk-Adjusted Performance

0 of 100

 
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.

Strickland Metals and Dicker Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Strickland Metals and Dicker Data

The main advantage of trading using opposite Strickland Metals and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strickland Metals position performs unexpectedly, Dicker Data 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 Dicker Data will offset losses from the drop in Dicker Data's long position.
The idea behind Strickland Metals and Dicker Data 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

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