Correlation Between EMFM and CHII

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

Diversification Opportunities for EMFM and CHII

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between EMFM and CHII

If you would invest (100.00) in CHII on December 18, 2024 and sell it today you would earn a total of  100.00  from holding CHII or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

EMFM  vs.  CHII

 Performance 
       Timeline  
EMFM 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days EMFM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy technical and fundamental indicators, EMFM is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.
CHII 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days CHII has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong forward indicators, CHII is not utilizing all of its potentials. The recent stock price confusion, may contribute to short-horizon losses for the traders.

EMFM and CHII Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EMFM and CHII

The main advantage of trading using opposite EMFM and CHII positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EMFM position performs unexpectedly, CHII 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 CHII will offset losses from the drop in CHII's long position.
The idea behind EMFM and CHII 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

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