Correlation Between Bank of America and Renault SA
Can any of the company-specific risk be diversified away by investing in both Bank of America and Renault SA 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 Renault SA 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 Renault SA, you can compare the effects of market volatilities on Bank of America and Renault SA 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 Renault SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Renault SA.
Diversification Opportunities for Bank of America and Renault SA
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bank and Renault is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Renault SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Renault SA 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 Renault SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Renault SA has no effect on the direction of Bank of America i.e., Bank of America and Renault SA go up and down completely randomly.
Pair Corralation between Bank of America and Renault SA
Considering the 90-day investment horizon Bank of America is expected to under-perform the Renault SA. But the stock apears to be less risky and, when comparing its historical volatility, Bank of America is 1.12 times less risky than Renault SA. The stock trades about -0.02 of its potential returns per unit of risk. The Renault SA is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 4,665 in Renault SA on December 29, 2024 and sell it today you would earn a total of 85.00 from holding Renault SA or generate 1.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.31% |
Values | Daily Returns |
Bank of America vs. Renault SA
Performance |
Timeline |
Bank of America |
Renault SA |
Bank of America and Renault SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Renault SA
The main advantage of trading using opposite Bank of America and Renault SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Renault SA 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 Renault SA will offset losses from the drop in Renault SA's long position.Bank of America vs. PJT Partners | Bank of America vs. National Bank Holdings | Bank of America vs. FB Financial Corp | Bank of America vs. Northrim BanCorp |
Renault SA vs. Carrefour SA | Renault SA vs. BNP Paribas SA | Renault SA vs. Societe Generale SA | Renault SA vs. Credit Agricole SA |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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