Correlation Between BCN and EM

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

Diversification Opportunities for BCN and EM

0.0
  Correlation Coefficient
 BCN
 EM

Pay attention - limited upside

The 3 months correlation between BCN and EM is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding BCN and EM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EM and BCN 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 BCN 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 BCN i.e., BCN and EM go up and down completely randomly.

Pair Corralation between BCN and EM

If you would invest  0.00  in BCN on March 25, 2025 and sell it today you would earn a total of  0.00  from holding BCN or generate 5.26% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

BCN  vs.  EM

 Performance 
       Timeline  
BCN 

Risk-Adjusted Performance

Insignificant

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in BCN are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather weak basic indicators, BCN exhibited solid returns over the last few months and may actually be approaching a breakup point.
EM 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
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.

BCN and EM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BCN and EM

The main advantage of trading using opposite BCN and EM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BCN 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 BCN 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.

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