Correlation Between Intel and BNY Mellon

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

Diversification Opportunities for Intel and BNY Mellon

0.9
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Intel and BNY is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Intel and BNY Mellon Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNY Mellon Large and Intel 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 Intel are associated (or correlated) with BNY Mellon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BNY Mellon Large has no effect on the direction of Intel i.e., Intel and BNY Mellon go up and down completely randomly.

Pair Corralation between Intel and BNY Mellon

Given the investment horizon of 90 days Intel is expected to generate 4.56 times more return on investment than BNY Mellon. However, Intel is 4.56 times more volatile than BNY Mellon Large. It trades about 0.17 of its potential returns per unit of risk. BNY Mellon Large is currently generating about 0.38 per unit of risk. If you would invest  2,152  in Intel on September 1, 2024 and sell it today you would earn a total of  253.00  from holding Intel or generate 11.76% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy95.45%
ValuesDaily Returns

Intel  vs.  BNY Mellon Large

 Performance 
       Timeline  
Intel 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Intel are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather inconsistent basic indicators, Intel exhibited solid returns over the last few months and may actually be approaching a breakup point.
BNY Mellon Large 

Risk-Adjusted Performance

16 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in BNY Mellon Large are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of rather inconsistent essential indicators, BNY Mellon may actually be approaching a critical reversion point that can send shares even higher in December 2024.

Intel and BNY Mellon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Intel and BNY Mellon

The main advantage of trading using opposite Intel and BNY Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intel position performs unexpectedly, BNY Mellon 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 BNY Mellon will offset losses from the drop in BNY Mellon's long position.
The idea behind Intel and BNY Mellon Large 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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

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