Correlation Between Stellar and DB Base

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

Diversification Opportunities for Stellar and DB Base

-0.67
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Stellar and BDDXF is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Stellar and DB Base Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Base Metals and Stellar 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 Stellar are associated (or correlated) with DB Base. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DB Base Metals has no effect on the direction of Stellar i.e., Stellar and DB Base go up and down completely randomly.

Pair Corralation between Stellar and DB Base

If you would invest  44.00  in Stellar on October 11, 2024 and sell it today you would lose (2.00) from holding Stellar or give up 4.55% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy4.55%
ValuesDaily Returns

Stellar  vs.  DB Base Metals

 Performance 
       Timeline  
Stellar 

Risk-Adjusted Performance

20 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Stellar are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, Stellar exhibited solid returns over the last few months and may actually be approaching a breakup point.
DB Base Metals 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days DB Base Metals has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, DB Base is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Stellar and DB Base Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Stellar and DB Base

The main advantage of trading using opposite Stellar and DB Base positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stellar position performs unexpectedly, DB Base 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 DB Base will offset losses from the drop in DB Base's long position.
The idea behind Stellar and DB Base Metals 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.

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