Correlation Between Dicker Data and FSA

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

Diversification Opportunities for Dicker Data and FSA

0.46
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Dicker and FSA is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Dicker Data and FSA Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FSA Group 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 FSA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FSA Group has no effect on the direction of Dicker Data i.e., Dicker Data and FSA go up and down completely randomly.

Pair Corralation between Dicker Data and FSA

Assuming the 90 days trading horizon Dicker Data is expected to generate 1.32 times more return on investment than FSA. However, Dicker Data is 1.32 times more volatile than FSA Group. It trades about -0.07 of its potential returns per unit of risk. FSA Group is currently generating about -0.13 per unit of risk. If you would invest  855.00  in Dicker Data on August 31, 2024 and sell it today you would lose (22.00) from holding Dicker Data or give up 2.57% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Dicker Data  vs.  FSA Group

 Performance 
       Timeline  
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 latest uncertain performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.
FSA Group 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days FSA Group has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Stock's basic 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 FSA Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dicker Data and FSA

The main advantage of trading using opposite Dicker Data and FSA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dicker Data position performs unexpectedly, FSA 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 FSA will offset losses from the drop in FSA's long position.
The idea behind Dicker Data and FSA Group 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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