Correlation Between Bank of America and Real Estate
Can any of the company-specific risk be diversified away by investing in both Bank of America and Real Estate 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 Real Estate 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 Real Estate E Commerce, you can compare the effects of market volatilities on Bank of America and Real Estate 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 Real Estate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Real Estate.
Diversification Opportunities for Bank of America and Real Estate
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Real is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Real Estate E Commerce in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Estate E 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 Real Estate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Estate E has no effect on the direction of Bank of America i.e., Bank of America and Real Estate go up and down completely randomly.
Pair Corralation between Bank of America and Real Estate
Assuming the 90 days trading horizon Bank of America is expected to generate 1.48 times more return on investment than Real Estate. However, Bank of America is 1.48 times more volatile than Real Estate E Commerce. It trades about 0.31 of its potential returns per unit of risk. Real Estate E Commerce is currently generating about -0.05 per unit of risk. If you would invest 2,177 in Bank of America on September 1, 2024 and sell it today you would earn a total of 311.00 from holding Bank of America or generate 14.29% 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. Real Estate E Commerce
Performance |
Timeline |
Bank of America |
Real Estate E |
Bank of America and Real Estate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Real Estate
The main advantage of trading using opposite Bank of America and Real Estate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Real Estate 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 Real Estate will offset losses from the drop in Real Estate's long position.Bank of America vs. Brookfield Investments | Bank of America vs. Partners Value Investments | Bank of America vs. Labrador Iron Ore | Bank of America vs. Millennium Silver Corp |
Real Estate vs. NovaGold Resources | Real Estate vs. HPQ Silicon Resources | Real Estate vs. Eastwood Bio Medical Canada | Real Estate vs. Diamond Fields Resources |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Other Complementary Tools
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk |