Correlation Between Bank of America and REMSleep Holdings
Can any of the company-specific risk be diversified away by investing in both Bank of America and REMSleep Holdings 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 Bank of America and REMSleep Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of America and REMSleep Holdings, you can compare the effects of market volatilities on Bank of America and REMSleep Holdings 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 Bank of America with a short position of REMSleep Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and REMSleep Holdings.
Diversification Opportunities for Bank of America and REMSleep Holdings
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and REMSleep is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and REMSleep Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on REMSleep Holdings and Bank of America 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 Bank of America are associated (or correlated) with REMSleep Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of REMSleep Holdings has no effect on the direction of Bank of America i.e., Bank of America and REMSleep Holdings go up and down completely randomly.
Pair Corralation between Bank of America and REMSleep Holdings
Considering the 90-day investment horizon Bank of America is expected to under-perform the REMSleep Holdings. But the stock apears to be less risky and, when comparing its historical volatility, Bank of America is 7.85 times less risky than REMSleep Holdings. The stock trades about -0.04 of its potential returns per unit of risk. The REMSleep Holdings is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 0.70 in REMSleep Holdings on October 9, 2024 and sell it today you would earn a total of 0.14 from holding REMSleep Holdings or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. REMSleep Holdings
Performance |
Timeline |
Bank of America |
REMSleep Holdings |
Bank of America and REMSleep Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and REMSleep Holdings
The main advantage of trading using opposite Bank of America and REMSleep Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, REMSleep Holdings 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 REMSleep Holdings will offset losses from the drop in REMSleep Holdings' long position.Bank of America vs. Citigroup | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of | Bank of America vs. JPMorgan Chase Co |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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