Correlation Between Magellan Financial and Dicker Data

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

Diversification Opportunities for Magellan Financial and Dicker Data

-0.14
  Correlation Coefficient

Good diversification

The 3 months correlation between Magellan and Dicker is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Magellan Financial Group and Dicker Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dicker Data and Magellan Financial 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 Magellan Financial Group 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 Magellan Financial i.e., Magellan Financial and Dicker Data go up and down completely randomly.

Pair Corralation between Magellan Financial and Dicker Data

Assuming the 90 days trading horizon Magellan Financial Group is expected to under-perform the Dicker Data. In addition to that, Magellan Financial is 1.51 times more volatile than Dicker Data. It trades about -0.16 of its total potential returns per unit of risk. Dicker Data is currently generating about 0.0 per unit of volatility. If you would invest  848.00  in Dicker Data on December 30, 2024 and sell it today you would lose (5.00) from holding Dicker Data or give up 0.59% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Magellan Financial Group  vs.  Dicker Data

 Performance 
       Timeline  
Magellan Financial 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Magellan Financial Group 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 technical and fundamental indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.
Dicker Data 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
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.

Magellan Financial and Dicker Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Magellan Financial and Dicker Data

The main advantage of trading using opposite Magellan Financial and Dicker Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magellan Financial 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 Magellan Financial Group 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

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