Correlation Between SAN MIGUEL and Regions Financial
Can any of the company-specific risk be diversified away by investing in both SAN MIGUEL and Regions Financial 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 SAN MIGUEL and Regions Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SAN MIGUEL BREWERY and Regions Financial, you can compare the effects of market volatilities on SAN MIGUEL and Regions Financial 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 SAN MIGUEL with a short position of Regions Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of SAN MIGUEL and Regions Financial.
Diversification Opportunities for SAN MIGUEL and Regions Financial
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between SAN and Regions is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding SAN MIGUEL BREWERY and Regions Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regions Financial and SAN MIGUEL 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 SAN MIGUEL BREWERY are associated (or correlated) with Regions Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regions Financial has no effect on the direction of SAN MIGUEL i.e., SAN MIGUEL and Regions Financial go up and down completely randomly.
Pair Corralation between SAN MIGUEL and Regions Financial
Assuming the 90 days trading horizon SAN MIGUEL BREWERY is expected to generate 2.86 times more return on investment than Regions Financial. However, SAN MIGUEL is 2.86 times more volatile than Regions Financial. It trades about 0.0 of its potential returns per unit of risk. Regions Financial is currently generating about -0.16 per unit of risk. If you would invest 10.00 in SAN MIGUEL BREWERY on December 21, 2024 and sell it today you would lose (0.50) from holding SAN MIGUEL BREWERY or give up 5.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SAN MIGUEL BREWERY vs. Regions Financial
Performance |
Timeline |
SAN MIGUEL BREWERY |
Regions Financial |
SAN MIGUEL and Regions Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SAN MIGUEL and Regions Financial
The main advantage of trading using opposite SAN MIGUEL and Regions Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SAN MIGUEL position performs unexpectedly, Regions Financial 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 Regions Financial will offset losses from the drop in Regions Financial's long position.SAN MIGUEL vs. Transport International Holdings | SAN MIGUEL vs. Osisko Metals | SAN MIGUEL vs. Tower One Wireless | SAN MIGUEL vs. ecotel communication ag |
Regions Financial vs. FIREWEED METALS P | Regions Financial vs. Calibre Mining Corp | Regions Financial vs. Science Applications International | Regions Financial vs. Data3 Limited |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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