Correlation Between Qtum and TMTG

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

Diversification Opportunities for Qtum and TMTG

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Qtum and TMTG is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Qtum and TMTG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TMTG and Qtum 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 Qtum are associated (or correlated) with TMTG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TMTG has no effect on the direction of Qtum i.e., Qtum and TMTG go up and down completely randomly.

Pair Corralation between Qtum and TMTG

If you would invest  278.00  in Qtum on January 25, 2024 and sell it today you would earn a total of  146.00  from holding Qtum or generate 52.52% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy41.8%
ValuesDaily Returns

Qtum  vs.  TMTG

 Performance 
       Timeline  
Qtum 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Qtum are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Qtum exhibited solid returns over the last few months and may actually be approaching a breakup point.
TMTG 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days TMTG has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, TMTG is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Qtum and TMTG Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Qtum and TMTG

The main advantage of trading using opposite Qtum and TMTG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qtum position performs unexpectedly, TMTG 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 TMTG will offset losses from the drop in TMTG's long position.
The idea behind Qtum and TMTG 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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