Correlation Between FT Cboe and Matthews China

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

Diversification Opportunities for FT Cboe and Matthews China

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between FT Cboe and Matthews China

If you would invest  2,538  in Matthews China Discovery on September 4, 2024 and sell it today you would earn a total of  159.00  from holding Matthews China Discovery or generate 6.26% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.44%
ValuesDaily Returns

FT Cboe Vest  vs.  Matthews China Discovery

 Performance 
       Timeline  
FT Cboe Vest 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Solid
Over the last 90 days FT Cboe Vest has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong technical and fundamental indicators, FT Cboe is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Matthews China Discovery 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Matthews China Discovery are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical indicators, Matthews China unveiled solid returns over the last few months and may actually be approaching a breakup point.

FT Cboe and Matthews China Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with FT Cboe and Matthews China

The main advantage of trading using opposite FT Cboe and Matthews China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Cboe position performs unexpectedly, Matthews China 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 Matthews China will offset losses from the drop in Matthews China's long position.
The idea behind FT Cboe Vest and Matthews China Discovery 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

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