Correlation Between Bank of America and Supra Boga
Can any of the company-specific risk be diversified away by investing in both Bank of America and Supra Boga 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 Supra Boga 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 Supra Boga Lestari, you can compare the effects of market volatilities on Bank of America and Supra Boga 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 Supra Boga. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Supra Boga.
Diversification Opportunities for Bank of America and Supra Boga
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Supra is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Supra Boga Lestari in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Supra Boga Lestari 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 Supra Boga. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Supra Boga Lestari has no effect on the direction of Bank of America i.e., Bank of America and Supra Boga go up and down completely randomly.
Pair Corralation between Bank of America and Supra Boga
Considering the 90-day investment horizon Bank of America is expected to generate 1.15 times more return on investment than Supra Boga. However, Bank of America is 1.15 times more volatile than Supra Boga Lestari. It trades about 0.29 of its potential returns per unit of risk. Supra Boga Lestari is currently generating about -0.11 per unit of risk. If you would invest 4,231 in Bank of America on August 31, 2024 and sell it today you would earn a total of 546.00 from holding Bank of America or generate 12.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Bank of America vs. Supra Boga Lestari
Performance |
Timeline |
Bank of America |
Supra Boga Lestari |
Bank of America and Supra Boga Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Supra Boga
The main advantage of trading using opposite Bank of America and Supra Boga positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Supra Boga 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 Supra Boga will offset losses from the drop in Supra Boga's long position.Bank of America vs. RLJ Lodging Trust | Bank of America vs. Aquagold International | Bank of America vs. Stepstone Group | Bank of America vs. Morningstar Unconstrained Allocation |
Supra Boga vs. Nippon Indosari Corpindo | Supra Boga vs. Ramayana Lestari Sentosa | Supra Boga vs. Midi Utama Indonesia | Supra Boga vs. Hero Supermarket Tbk |
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 Stocks Directory module to find actively traded stocks across global markets.
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