Correlation Between Hivemapper and CMT

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

Diversification Opportunities for Hivemapper and CMT

0.26
  Correlation Coefficient

Modest diversification

The 3 months correlation between Hivemapper and CMT is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Hivemapper and CMT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CMT and Hivemapper 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 Hivemapper are associated (or correlated) with CMT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CMT has no effect on the direction of Hivemapper i.e., Hivemapper and CMT go up and down completely randomly.

Pair Corralation between Hivemapper and CMT

Assuming the 90 days trading horizon Hivemapper is expected to generate 3.25 times less return on investment than CMT. In addition to that, Hivemapper is 1.83 times more volatile than CMT. It trades about 0.04 of its total potential returns per unit of risk. CMT is currently generating about 0.25 per unit of volatility. If you would invest  0.46  in CMT on September 1, 2024 and sell it today you would earn a total of  0.30  from holding CMT or generate 65.36% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Hivemapper  vs.  CMT

 Performance 
       Timeline  
Hivemapper 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Hivemapper are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Hivemapper exhibited solid returns over the last few months and may actually be approaching a breakup point.
CMT 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in CMT are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, CMT exhibited solid returns over the last few months and may actually be approaching a breakup point.

Hivemapper and CMT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Hivemapper and CMT

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

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