Correlation Between MetLife and American Sierra
Can any of the company-specific risk be diversified away by investing in both MetLife and American Sierra 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 MetLife and American Sierra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MetLife and American Sierra Gold, you can compare the effects of market volatilities on MetLife and American Sierra 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 MetLife with a short position of American Sierra. Check out your portfolio center. Please also check ongoing floating volatility patterns of MetLife and American Sierra.
Diversification Opportunities for MetLife and American Sierra
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between MetLife and American is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding MetLife and American Sierra Gold in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Sierra Gold and MetLife 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 MetLife are associated (or correlated) with American Sierra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Sierra Gold has no effect on the direction of MetLife i.e., MetLife and American Sierra go up and down completely randomly.
Pair Corralation between MetLife and American Sierra
Considering the 90-day investment horizon MetLife is expected to under-perform the American Sierra. But the stock apears to be less risky and, when comparing its historical volatility, MetLife is 14.27 times less risky than American Sierra. The stock trades about -0.01 of its potential returns per unit of risk. The American Sierra Gold is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 0.50 in American Sierra Gold on December 29, 2024 and sell it today you would lose (0.07) from holding American Sierra Gold or give up 14.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MetLife vs. American Sierra Gold
Performance |
Timeline |
MetLife |
American Sierra Gold |
MetLife and American Sierra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MetLife and American Sierra
The main advantage of trading using opposite MetLife and American Sierra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MetLife position performs unexpectedly, American Sierra 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 American Sierra will offset losses from the drop in American Sierra's long position.MetLife vs. Aflac Incorporated | MetLife vs. CNO Financial Group | MetLife vs. Brighthouse Financial | MetLife vs. Prudential PLC ADR |
American Sierra vs. Arctic Star Exploration | American Sierra vs. American Clean Resources | American Sierra vs. American Creek Resources | American Sierra vs. Arras Minerals Corp |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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