Correlation Between FKX and EM

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

Diversification Opportunities for FKX and EM

0.0
  Correlation Coefficient
 FKX
 EM

Pay attention - limited upside

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

Pair Corralation between FKX and EM

If you would invest  0.05  in FKX on August 28, 2024 and sell it today you would earn a total of  0.03  from holding FKX or generate 58.61% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

FKX  vs.  EM

 Performance 
       Timeline  
FKX 

Risk-Adjusted Performance

18 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in FKX are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, FKX exhibited solid returns over the last few months and may actually be approaching a breakup point.
EM 

Risk-Adjusted Performance

0 of 100

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

FKX and EM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with FKX and EM

The main advantage of trading using opposite FKX and EM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FKX position performs unexpectedly, EM 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 EM will offset losses from the drop in EM's long position.
The idea behind FKX and EM 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.

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