Correlation Between Sony Group and Bank of America
Can any of the company-specific risk be diversified away by investing in both Sony Group and Bank of America 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 Sony Group and Bank of America into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sony Group Corp and Verizon Communications, you can compare the effects of market volatilities on Sony Group and Bank of America 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 Sony Group with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sony Group and Bank of America.
Diversification Opportunities for Sony Group and Bank of America
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Sony and Bank is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Sony Group Corp and Verizon Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Verizon Communications and Sony Group 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 Sony Group Corp are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Verizon Communications has no effect on the direction of Sony Group i.e., Sony Group and Bank of America go up and down completely randomly.
Pair Corralation between Sony Group and Bank of America
Assuming the 90 days trading horizon Sony Group Corp is expected to generate 1.7 times more return on investment than Bank of America. However, Sony Group is 1.7 times more volatile than Verizon Communications. It trades about 0.17 of its potential returns per unit of risk. Verizon Communications is currently generating about -0.01 per unit of risk. If you would invest 1,620 in Sony Group Corp on October 24, 2024 and sell it today you would earn a total of 356.00 from holding Sony Group Corp or generate 21.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Sony Group Corp vs. Verizon Communications
Performance |
Timeline |
Sony Group Corp |
Verizon Communications |
Sony Group and Bank of America Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sony Group and Bank of America
The main advantage of trading using opposite Sony Group and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sony Group position performs unexpectedly, Bank of America 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 Bank of America will offset losses from the drop in Bank of America's long position.Sony Group vs. Broadridge Financial Solutions | Sony Group vs. BROADWIND ENRGY | Sony Group vs. SAFEROADS HLDGS | Sony Group vs. TITANIUM TRANSPORTGROUP |
Bank of America vs. GALENA MINING LTD | Bank of America vs. Harmony Gold Mining | Bank of America vs. ARDAGH METAL PACDL 0001 | Bank of America vs. GEAR4MUSIC LS 10 |
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
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |