Correlation Between BRC and NEM

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

Diversification Opportunities for BRC and NEM

-0.35
  Correlation Coefficient
 BRC
 NEM

Very good diversification

The 3 months correlation between BRC and NEM is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding BRC and NEM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NEM and BRC 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 BRC are associated (or correlated) with NEM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NEM has no effect on the direction of BRC i.e., BRC and NEM go up and down completely randomly.

Pair Corralation between BRC and NEM

If you would invest  4,522  in BRC on January 25, 2024 and sell it today you would earn a total of  0.00  from holding BRC or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy4.55%
ValuesDaily Returns

BRC  vs.  NEM

 Performance 
       Timeline  
BRC 

Risk-Adjusted Performance

0 of 100

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

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in NEM are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, NEM may actually be approaching a critical reversion point that can send shares even higher in May 2024.

BRC and NEM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BRC and NEM

The main advantage of trading using opposite BRC and NEM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BRC position performs unexpectedly, NEM 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 NEM will offset losses from the drop in NEM's long position.
The idea behind BRC and NEM 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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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