Correlation Between MFS High and CBH

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

Diversification Opportunities for MFS High and CBH

-0.28
  Correlation Coefficient

Very good diversification

The 3 months correlation between MFS and CBH is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding MFS High Income and CBH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CBH and MFS High 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 MFS High Income are associated (or correlated) with CBH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CBH has no effect on the direction of MFS High i.e., MFS High and CBH go up and down completely randomly.

Pair Corralation between MFS High and CBH

If you would invest  919.00  in CBH on August 28, 2024 and sell it today you would earn a total of  0.00  from holding CBH or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy4.76%
ValuesDaily Returns

MFS High Income  vs.  CBH

 Performance 
       Timeline  
MFS High Income 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in MFS High Income are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound basic indicators, MFS High is not utilizing all of its potentials. The recent stock price tumult, may contribute to shorter-term losses for the shareholders.
CBH 

Risk-Adjusted Performance

0 of 100

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

MFS High and CBH Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MFS High and CBH

The main advantage of trading using opposite MFS High and CBH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MFS High position performs unexpectedly, CBH 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 CBH will offset losses from the drop in CBH's long position.
The idea behind MFS High Income and CBH 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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